Andragogy in Theory

Andragogy in Theory

This chapter discusses how andragogy only focuses solely on the individual and is not an all-encompassing theory of learning. The chapter argues that one of its strengths as a learning theory is that it can be combined with or compliment other learning theories.

· Select one of the learning theories located here:

· https://www.learning-theories.com/ and post the link to the discussion board.

If you are familiar with a learning theory that is not on this list, you may use it as well. Post a link to an article or another resource about the learning theory.

· Briefly summarize your learning theory.

· List three ways it can work with andragogy.

INSTRUCTIONAL MATERIALS

Required Resources

Knowles, M. S., Holton, E. F. & Swanson, R. A. (2015). The adult learner: The definitive classic in adult education and human resource development (8th ed.). Elsevier/ Taylor & Francis

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Chapter 5

Andragogy in Practice

Expanding The Usefulness of the Andragogical Model

Introduction to Andragogical Assumptions

Various authors present andragogy in different ways. Accordingly, it has often been difficult to determine precisely the number of core assumptions of andragogy. This difficulty stems from the fact that the number of andragogical principles has grown from four to six over the years as Knowles (1989b) refined his thinking. In addition, many authors continue to use the earliest list as the core citation for andragogical assumptions, despite the list being updated twice since then (Knowles, 1980b). Thus, the addition of assumptions and the discrepancy in the number cited in the literature has led to some confusion.

Table 5.1 shows the six principles (or assumptions) of the current model, as well as the ones cited in Knowles’s previous works. As the table indicates, andragogy was originally presented with four assumptions, numbers 2–5 (Knowles, 1980b, 1978, 1975). These first four assumptions are similar to Lindeman’s four assumptions about adult education, though there is no evidence that Knowles obtained his early formulation of andragogy directly from Lindeman (Knowles et al., 1998; Stewart, 1987). Assumption number 6, motivation to learn, was added in 1984 (Knowles, 1984a) and assumption number 1, the need to know, was added in more recent years (Knowles, 1990, 1989b, 1987). Today there are six core assumptions or principles of andragogy (Knowles et al., 1998).

An Individual-Transactional Framework

Some of the sharpest criticism of andragogy has come from theorists operating from a critical philosophical perspective. Grace (1996), for example, criticizes andragogy for focusing solely on the individual and not operating from a critical social agenda or debating the relationship of adult education to society. Cross (1981) concluded that “whether andragogy can serve as the foundation for a unifying theory of adult education remains to be seen” (p. 227). Others have pushed for adult learning theory to reach beyond the teaching/learning transaction to encompass some elements of desired outcomes. Most prominent of these include perspective transformation (Mezirow, 1991) and a critical paradigm of self-directed learning (Brookfield, 1984b, 1987). Pratt (1993) also criticizes andragogy for not adopting a critical paradigm of adult learning. He concludes: “Clearly andragogy is saturated with the ideals of individualism and entrepreneurial democracy. Societal change may be a by-product of individual change, but it is not the primary goal of andragogy” (p. 21).

Table 5.1  Changes in core andragogical principles

Andragogy’s critics are correct in saying that andragogy does not explicitly and exclusively embrace outcomes such as social change and critical theory, but they are incorrect in thinking that it should. Knowles (1989b, 1990) and others clearly identify andragogy as being rooted in humanistic and pragmatic philosophy (Darkenwald and Merriam, 1982; Grace, 1996; Merriam and Brockett, 1997). The humanistic perspective, reflected by the influence of Maslow and Rogers, is primarily concerned with the self-actualization of the individual (see Knowles, 1989b). The pragmatic philosophy, reflected in the influence of Dewey and Lindeman, valued knowledge gained from experience rather than from formal authority (Merriam and Brockett, 1997).

It is easy to see from its philosophical roots that andragogy is an individual-transactional model of adult learning (Brookfield, 1986). The philosophies of pragmatism, behaviorism, humanism, and constructivism focus most of their assumptions on two dimensions: the learner and the learning transaction. Critical theory, however, is much more concerned with the outcomes of learning—namely social change (Merriam and Brockett, 1997). Knowles (1990) implicitly acknowledged this tension when he wrote of the philosophical debates between 1926 and 1948 with “one side holding that this goal [for adult education] should be the improvement of individuals, and the other holding that it should be the improvement of society” (p. 44).

Our view is that andragogy was never intended to be a theory of the discipline of adult education as it is defined by the critical theorists, or any of its sub-fields for that matter. Attempts to embed the specific goals and purposes of any sub-field into the andragogical model of adult learning are conceptually and philosophically flawed. Adult learning occurs in many settings for many different reasons. Andragogy is a transactional model of adult learning that is designed to transcend specific applications and situations. Adult education is one of many fields of application in which adult learning occurs. Others include human resource development, higher education, or any other arena in which adult learning occurs.

Furthermore, adult education is a very diverse discipline with little agreement as to its definition. For example, many definitions of adult education would incorporate human resource development (HRD) as a sub-field, but few definitions of HRD label it as such. Each sub-field engaged in adult learning has its own philosophical foundations regarding the role of education in society and the desired outcomes from educational activities for adults (Darkenwald and Merriam, 1982; Merriam and Brockett, 1997). For example, in HRD critical theory is only one of several theoretical frames. Unfortunately, andragogy has been critiqued mostly through the critical philosophical lens; which is only one sub-field interested in a particular type of adult learning.

The debates about the ends and purposes of adult learning events are important and vital, but they should be separated from debates about models of the adult learning process. There are real issues that each arena of adult education must debate and carefully consider. Our point is that those issues are not, and were never intended to be, part of andragogy. For example, scholars might debate whether organizational HRD should be approached from a critical theory or a performance perspective—but that is not a debate about andragogy. Debates about ends and purposes are more relevant to why adult learning events or programs are conducted (i.e., their desired outcomes) than to how the adult learning transaction occurs, which is the more central concern of andragogy. Andragogy may not be a defining theory of any sub-field of adult education.

It is important to note that andragogy does not prohibit combining it with other theories that speak to goals and purposes. Andragogy can be embedded within many different sets of goals and purposes, each of which may affect the learning process differently. For example, in adult learning for the purpose of social change (critical theory) an andragogical approach to adult learning is possible. Similarly, in adult learning for performance improvement in an organization (performance/human capital theory) an andragogical approach is possible.

To the extent that critical theory has become the predominant paradigm among adult education researchers, prior criticisms of andragogy point to missing elements that keep it from being a defining theory of the discipline of adult education, not of adult learning (Davenport and Davenport, 1985; Grace, 1996; Hartree, 1984). Merriam and Brockett (1997) note that “adult education can be distinguished from adult learning and indeed it is important to do so when trying to arrive at a comprehensive understanding of adult education” (p. 5). Knowles may have invited this confusion with his statements in early works that andragogy might provide a unifying theory for adult education or for all of education (Knowles, 1973, 1978); a stance that he softened over time (Knowles, 1989b).

A Dynamic View of Andragogy

That andragogy does not speak to all possible goals and purposes of learning is not a weakness but a strength, because andragogy can then transcend arenas of application. Ironically, by focusing andragogy more narrowly on its original intent, it may become stronger and more versatile, though incomplete as a full description of adult learning in all situations. We recognize that critical theorists would likely disagree because they have a particular world view that emphasizes adult education for a certain purpose. As Podeschi (1987) points out, the debate about andragogy has been confounded by conflicting philosophical views about adult education. It is unfortunate that andragogy has not been as heavily critiqued and researched from other philosophical perspectives; as it may well be more appropriate when viewed through other philosophical lenses.

There are other theories that are similarly neutral to goals and purposes. Consider, for instance, Kurt Lewin’s three-stage theory of change (unfreezing–movement–refreezing) that has long stood as one cornerstone of organization development theory. His theory also does not debate the ends or means of any particular type of change, but rather focuses simply on the change process. We could criticize Lewin’s theory because it does not embrace the goals of re-engineering or of egalitarian corporate structures, for example; but it would be violating the boundaries of the theory. One critical component of any theory-building effort is to define the boundaries of the theory (Dubin, 1969). Much of the criticism of andragogy has come from attempts to make it become more than it was intended to be, particularly within the adult education scholarly community. Such efforts violated the boundaries of the theory, and resulted in confusion and frustration.

Knowles’s (1980b) conception of adult education was broad. His definition of an adult educator was “one who has responsibility for helping adults to learn” (p. 26). He also noted that there were at least three meanings of the term adult education. One meaning was a broad one to describe the process of adult learning. A more technical meaning, he suggested, was of adult education as an organized set of activities to accomplish a set of educational objectives. Finally, a third meaning was a combination of the two into a movement or a field of social practice. In his examples, he listed everyone in what would today be called adult education, human resource development, community development, higher education, extension, library educators, and more. It seems clear that he intended for andragogy to be applicable to all adult learning environments.

Integrated System or Flexible Assumptions?

In early works, andragogy was presented as an integrated set of assumptions. However, through years of experimentation it now seems that the power of andragogy lies in its potential for more flexible application. The assumptions became viewed by some practitioners as a recipe, implying that all adult educators should facilitate the same in all situations (Brookfield, 1986; Feur and Gerber, 1988; Pratt, 1993). There is clear evidence that they were intended to be viewed as flexible assumptions to be altered depending on the situation. For example, Knowles (1979) stated early on:

My intention, therefore, was to present an alternative set of assumptions to those that had been traditionally made by teachers of children, so that others would have another choice. I saw them as assumptions to be tested (not to be presumed), so that if a pedagogical assumption was the realistic condition in a given situation then pedagogical strategies would be appropriate. For example, if I were now, at age 66, to undertake to learn a body of totally strange content (for example, the higher mathematics of nuclear physics), I would be a totally dependent learner. I would have very little previous experience to build on, I probably would have a low degree of readiness to learn it, and I don’t know what developmental task I would be preparing for. The assumptions of pedagogy would be realistic in this situation, and pedagogical strategies would be appropriate.

I would like to make one caveat to this proposition, though: an ideological pedagog would want to keep me dependent on a teacher, whereas a true andragog would want to do everything possible to provide me with whatever foundational content I would need and then encourage me to take increasing initiative in the process of further inquiry.

(pp. 52–53)

Knowles (1984b) reiterated this point in the conclusion to his casebook examining 36 applications of andragogy. He noted that he had spent two decades experimenting with andragogy and had reached certain conclusions. Among them were:

1. The andragogical model is a system of elements that can be adopted or adapted in whole or in part. It is not an ideology that must be applied totally and without modification. In fact, an essential feature of andragogy is flexibility.

2. The appropriate starting point and strategies for applying the andragogical model depend on the situation.

(p. 418)

More recently, Knowles (1989b) stated in his autobiography:

So I accept (and glory in) the criticism that I am a philosophical eclectic or situationalist who applies his philosophical beliefs differentially to different situations. I see myself as being free from any single ideological dogma, and so I don’t fit neatly into any of the categories philosophers often want to box people in.

(p. 112)

He further stated that “what this means in practice is that we educators now have the responsibility to check out which assumptions are realistic in a given situation” (Knowles, 1990, p. 64).

It seems clear that Knowles always knew, and then confirmed through use, that andragogy could be utilized in many different ways and would have to be adapted to fit individual situations. Unfortunately, he never offered a systematic framework of factors that should be considered when determining which assumptions are realistic in order to adapt andragogy to the situation. As a result, the andragogical assumptions about adults have been criticized for appearing to claim to fit all situations or persons (Davenport, 1987; Davenport and Davenport, 1985; Day and Baskett, 1982; Elias, 1979; Hartree, 1984; Tennant, 1986). Although a more careful read of Knowles’s work shows he did not believe this; andragogy is none the less open to this criticism because it fails to explicitly account for the differences. Because of the conceptual uncertainty, Merriam and Caffarella (1999) go so far as to say that “andragogy now appears to be situation-specific and not unique to adults” (p. 20).

Several researchers have offered alternative contingency models in an effort to account for the variations in adult learning situations (Grow, 1991; Pratt, 1988; Cross, 1981). Pratt (1988) proposed a useful model of how an adult’s life situation not only affects that person’s readiness to learn, but also his or her readiness for andragogical-type learning experiences. He recognized that most learning experiences are highly situational, and that a learner may exhibit very different behaviors in different learning situations. For example, it is entirely likely that a learner may be highly confident and self-directed in one realm of learning, but very dependent and unsure in another. This is operationalized by identifying two core dimensions within which adults vary in each learning situation: direction and support. These and other related responses attack the same problem: the need for a contingency framework that avoids a one-size-fits-all approach and offers more clear guidance to adult educators. It seems clear that this is one area in which andragogy has been weakest, though experienced users learned to make modifications as needed. The need here is to clarify andragogy by more explicitly taking into account key factors that affect the application of andragogical principles. Thus, a more complete andragogical model of practice should attune users to key factors that affect its use in practice.

The Andragogy in Practice Model

Andragogy in practice, the framework depicted in Figure 5.1, is an enhanced conceptual framework to more systematically apply andragogy across multiple domains of adult learning practice. The three dimensions of Andragogy in practice, shown as rings in the figure, are:

· (1)goals and purposes for learning,

· (2)individual and situation differences, and

· (3)andragogy: core adult learning principles.

This approach conceptually integrates the added learning influences with the core adult learning principles. The three rings of the model interact and offer a three-dimensional process for understanding adult learning situations. The result is a model that recognizes the lack of homogeneity among learners and learning situations, and illustrates that the learning transaction is a multifaceted activity. This approach is entirely consistent with most of the program development literature in adult education that in some manner incorporates contextual analysis as a step in developing programs (e.g., Boone, 1985; Houle, 1972; Knox, 1986). The following sections describe each of the three dimensions in the model.

Goals and purposes for learning

Goals and purposes for learning, the outer ring of the model, are portrayed as developmental outcomes. The goals and purposes of adult learning serve to shape and mold the learning experience. In this model, goals for adult learning events may fit into three general categories: individual, institutional, or societal growth. Knowles (1970, 1980b) used these three categories to describe the missions of adult education, although he did not directly link them to the andragogical assumptions. Beder (1989) also used a similar approach to describe the purposes of adult education as facilitating change in society and supporting and maintaining good social order—societal; promoting productivity—institutional; and enhancing personal growth— individual.

Figure 5.1  Andragogy in practice model

Source: From Knowles et al. (1998)

Merriam and Brockett (1997) discuss seven content-purpose typologies (Bryson, 1936; Grattan, 1955; Liveright, 1968; Darkenwald and Merriam, 1982; Apps, 1985; Rachal, 1988; Beder, 1989), using Bryson’s (1936) five-part typology (liberal, occupational, relational, remedial, and political) and noted that the purposes for adult learning have changed little since then. Bryson’s (1936) typology would also fit into Knowles’s three-part typology with liberal, relational, and remedial fitting into the individual category, occupational fitting into the institutional category, and political fitting into the societal category. Thus, Knowles’s three-category typology can be seen as also encompassing all of the categories found in other major typologies of purposes for adult learning.

That so many researchers have attempted to create typologies for adult learning outcomes reinforces our position that the goals and purposes are conceptually separate from the core andragogical assumptions. As was seen in the early discussion about criticisms of the andragogical model, it is easy to attempt to imbue the core principles with value-based or philosophical dimensions of the goals and purposes. Andragogy has almost always been found lacking when examined from that perspective. That is, attempts to take a transactional model of adult learning and make it bigger have failed.

We are not suggesting that goals and purposes of the learning program do not affect the learning transaction. To the contrary, it is vitally important that they be analyzed alongside the core principles as they may influence how the core principles fit a given situation. It is unrealistic to think that the core principles of andragogy will always fit the same in learning programs offered for different goals and purposes. However, keeping them conceptually distinct and analyzing them separately allows andragogy to accommodate multiple perspectives on learning outcomes. Also, only then can the interactions between the goals, philosophies, and contexts with the adult learning transaction be fully identified and correctly defined.

It is for that reason that Knowles (1984b, 1990) talked extensively about adapting the use of andragogy to fit the purpose of the learning event. Consider adult literacy programs as an example. Such programs may be conducted by an adult education center to help individuals improve life skills (an individual goal); by a corporation to improve job and organizational performance (an institutional goal); or by some other entity seeking to help a disadvantaged group of citizens improve their socio-economic position (a societal goal). Although the goal differs in each of these situations, the actual learning program and immediate learning outcomes (e.g., improved literacy) may be quite similar or even identical. Therefore, andragogy is equally applicable to each scenario because andragogy focuses on the learning transaction, as opposed to the overall goal for which the program is offered.

However, the goal will also likely affect the learning process. For example, when offered for societal improvement purposes, extra emphasis may be placed on developing self-directedness among the learners. When offered for work-related performance improvement, extra emphasis might be placed on relating the content to work situations. However, these changes are not a direct result of applying the andragogical model, but of the context in which andragogy is utilized. This illustrates the strength of andragogy: it is a set of core adult learning principles that can be applied to all adult learning situations.

Individual growth

The traditional view among most scholars and practitioners of adult learning is to think exclusively of individual growth. Representative researchers in this group might include some mentioned earlier, such as Mezirow (1991) and Brookfield (1987, 1984a). Others advocate an individual development approach to workplace adult learning programs (Bierema, 1996; Dirkx, 1996). At first glance, andragogy would appear to best fit with individual development goals because of its focus on the individual learner.

Institutional growth

Adult learning is equally powerful in developing better institutions as well as individuals. Human resource development, for example, embraces organizational performance as one of its core goals, which andragogy does not explicitly embrace either (Brethower and Smalley, 1998; Swanson and Arnold, 1996). From this view of HRD, the ultimate goal of learning activities is to improve the institution sponsoring the learning activity. Thus, control of the goals and purposes is shared between the organization and the individual. The adult learning transaction in an HRD setting still fits nicely within the andragogical framework; although the different goals require adjustments to be made in how the andragogical assumptions are applied.

Societal growth

Societal goals and purposes that can be associated with the learning experience can be illustrated through Freire’s work (1970). This Brazilian educator saw the goals and purposes of adult education as societal transformation and contended that education is a consciousness-raising process. From his view, the aim of education is to help participants put knowledge into practice and that the outcome of education is societal transformation. Freire believed in humans’ ability to re-create a social world and establish a dynamic society, and that the major aim of education is to help people put knowledge into action. Doing so, according to Freire, would enable people to change the world—to humanize it. Freire is clearly concerned with creating a better world and the development and liberation of people. As such, the goals and purposes within this learning context are oriented to societal as well as individual improvement. Once again, though, the actual adult learning transactions fit within the andragogical framework with a few modifications.

This perspective acknowledges that learning occurs for a variety of reasons, has outcomes beyond the individual level, and is frequently sponsored by or embedded in organizational or societal contexts (Boone, 1985; Brookfield, 1986; Knowles, 1980b). Andragogy is an individual learning framework, but individual learning may occur for the purpose of advancing individual, institutional or societal growth.

Individual and situational differences

Individual and situational differences, the middle ring of the andragogy in practice model, are portrayed as variables. We continue to learn more about the differences that impact adult learning and that act as filters that shape the practice of andragogy. These variables are grouped into the categories of subject-matter differences, situational differences, and individual learner differences.

Subject-matter differences

Different subject matter may require different learning strategies. For example, individuals may be less likely to learn complex technical subject matter in a self-directed manner. Or, as Knowles stated in the earlier quote, introducing unfamiliar content to a learner will require a different teaching/ learning strategy. Simply, not all subject matter can be taught or learned in the same way.

Situational differences

The situational effects category captures any unique factors that could arise in a particular learning situation and incorporates several sets of influences. At the micro-level, different local situations may dictate different teaching/learning strategies. For example, learners in remote locations may be forced to be more self-directed, or perhaps less so. Alternatively, learning in large groups may mean that learning activities are less tailored to particular life circumstances.

At a broader level, this group of factors connects andragogy with the socio-cultural influences now accepted as a core part of each learning situation. This is one area of past criticism that seems particularly appropriate. Jarvis (1987a) sees all adult learning as occurring within a social context through life experiences. In his model, the social context may include social influences prior to the learning event that affect the learning experience, as well as the social milieu within which the actual learning occurs. Thus, situational influences prior to the learning event could include anything from cultural influences to learning history. Similarly, situational influences during learning can be seen as including the full range of social, cultural, and situation-specific factors that may alter the learning transaction.

Individual differences

In the last two decades there has been a surge of interest in linking the adult education literature with psychology to advance understanding of how individual differences affect adult learning, analyzing psychological theories from an adult learning perspective and arguing for psychology as a foundation discipline of adult education (Tennant, 1997). Interestingly, a group of educational psychologists have argued for building a bridge between educational psychology and adult learning, calling for the creation of a new sub-field of adult educational psychology (Smith and Pourchot, 1998).

This may be the area in which our understanding of adult learning has advanced the most since Knowles first introduced andragogy. A number of researchers have expounded on a host of individual differences affecting the learning process (e.g., Dirkx and Prenger, 1997; Kidd, 1978; Merriam and Cafferella, 1999). This increased emphasis on linking adult learning and psychological research is indicative of an increasing focus on how individual differences affect adult learning. From this perspective, there is no reason to expect that all adults behave the same. Rather our understanding of individual differences should help to shape and tailor the andragogical approach to fit the uniqueness of the learners. It is somewhat ironic that andragogy first emerged as an effort to focus on the uniqueness between adults and other learners. Now, we know that andragogy must be further tailored to fit the uniqueness among adults.

Table 5.2  Individual learner differences

It is beyond the scope of this chapter to delineate all the individual differences that may affect learning. However, one typology of individual differences that affect learning which incorporates three broad categories of individual differences includes: cognitive (including cognitive abilities, controls, and styles), personality, and prior knowledge (Jonassen and Grabowski, 1993). Table 5.2 shows a list of individual differences that may have an impact on learning.

Although there remains much uncertainty in the research, the key point is clear—individuals vary in their approaches, strategies, and preferences during learning activities. Few learning professionals would disagree. At one level, merely being sensitive to those differences should significantly improve learning. Even better, the more that is understood about the exact nature of the differences, the more specific learning theorists can be about the exact nature of adaptations that should be made.

Another area of individual differences in which our understanding is expanding rapidly is adult development. Adult development theories are generally divided into three types: physical changes; cognitive or intellectual development; and personality and lifespan role development (Merriam and Cafferella, 1999; Tennant, 1995). Cognitive development theory’s primary contributions are twofold. First, they help to explain some differences in the way adults learn at different points in their lives. Second, they help to explain why the core learning principles are exhibited in different ways at different points in life. Lifespan role development theory’s primary contribution is to help explain when adults are most ready for learning, most need learning, and when they may be most motivated to learn.

An understanding of individual differences helps make andragogy more effective in practice. Effective adult learning professionals use their understanding of individual differences to tailor adult learning experiences in several ways. First, they tailor the manner in which they apply the core principles to fit adult learners’ cognitive abilities and learning style preferences. Second, they know which of the core principles are most salient to a specific group of learners. For example, if learners do not have strong cognitive controls, they may not initially emphasize self-directed learning. Third, they expand the goals of learning experiences. For example, one goal might be to expand learners’ cognitive controls and styles to enhance future learning ability. This flexible approach explains why andragogy is applied in so many different ways (Knowles, 1984b).

Applying the Andragogy in Practice Framework

The andragogy in practice framework is an expanded conceptualization of andragogy that incorporates domains of factors that will influence the application of core andragogical principles. We turn now to an example to illustrate how to use the andragogy in practice model.

As a general note, we have observed interesting differences in the way people apply the model and therefore explain it. Those familiar with the six core principles of andragogy tend to want to conceptually begin in the middle of the model, working outward to adjust the six principles to fit the individual and situational differences as well as differences due to the goals and purposes. For them, the outer two rings act as filters through which the core principles are examined to make adjustments. Those unfamiliar with the six principles seem to prefer to start with the outer ring and work inward. For these individuals, it makes more sense to analyze the goals and purposes first, then the individual and situational differences, and finally to adjust their application of the core principles to fit the full context.

Both perspectives have merit, depending on the application. We suggest a three-part process for analyzing adult learners with the andragogy in practice model:

1. The core principles of andragogy provide a sound foundation for planning adult learning experiences. Without any other information, they reflect a sound approach to effective adult learning.

2. Analysis should be conducted to understand (a) the particular adult learners and their individual characteristics, (b) the characteristics of the subject matter, and (c) the characteristics of the particular situation in which adult learning is being used. Adjustments necessary to the core principles should be anticipated.

3. The goals and purposes for which the adult learning is conducted provide a frame that shapes the learning experience. They should be clearly identified and possible effects on adult learning explicated.

This framework should be used in advance to conduct what we call andragogical learner analysis. As part of needs assessment for program development, andragogical learner analysis uses the andragogy in practice model to determine the extent to which andragogical principles fit a particular situation. Figure 5.2 is a worksheet created for this purpose. The six core assumptions are listed in the left-hand column and comprise the rows in the matrix. Each of the two outer rings and the six groups of factors

Figure 5.2  Worksheet for andragogical learner analysis

contained within the andragogy in practice model is shown in the other six columns. Thus, each cell of the matrix represents the potential effect of one of the factors on a core assumption.

The analyst using the andragogical lens should first assess the extent to which the andragogical assumptions fit the learners at that point in time and check the appropriate cells in column 2. Then, he or she must determine the extent to which each of the six groups of factors would impact on each of the six core assumptions. That impact might be to make it more important, less important, not present in the learner group, and so on. Deviations and potential changes should be noted in the appropriate cell of the matrix. When used for this purpose, it is probably best to start with the outer ring and work inward. On the other hand, if one does not have much of an opportunity to analyze the learners in advance, then it may be more appropriate to begin the program with the core principles as a guide, and make adjustments as the other elements of the model become known.

Case Example 1

Adult Basic Education Program

Case example 1 shows an andragogical learner analysis for a classic adult basic education case. In this case, the learners are disadvantaged citizens who lack the basic literacy skills to obtain well-paying jobs. They have been struggling in life, holding minimum-wage or close to minimum-wage jobs because of low reading and math skills. They are enrolled in a workplace literacy program to improve their literacy skills in the hopes that they can obtain better jobs to improve their individual lives. The goal of the program is clearly an individual life-improvement goal, although the funding agency’s goal is a community development goal.

The andragogical learner analysis shows that learners generally fit the core assumptions of the andragogical model (see Figure 5.3). However, assumption number 2, self-directedness of the learners, is the weakest because the learners have a history of not being successful in similar learning situations and often lack confidence as learners when it comes to reading and math. Fortunately, they have exhibited successful learning in other parts of their lives so the potential for self-directedness exists, but they will need strong support initially. Their motivation is high because they are trapped in low-wage jobs and are anxious to improve their lives; but their prior experiences with this type of learning could be a significant barrier to learning if self-directed learning is thrust upon them too quickly.

Figure 5.3  Andragogical learner analysis: case 1

However, they are judged to be highly pragmatic learners; assumption number 5 (life-centered orientation to learning) is expected to be particularly important in that the learning will have to be highly contextualized in work and life situations. Thus, the instructors have chosen not to use traditional General Educational Development (GED)-type learning and instead will use work-based experiential learning techniques to keep motivation high.

 

Case Example 2

Management Development Program

In case example 2, a municipal government has developed a new management development program to help change the organization to a high-performance workplace. It was developed based on best practices and thinking in performance improvement leadership. Figure 5.4 shows the andragogical learner analysis form completed for this scenario.

An analysis of the learners indicates that they generally fit the core assumptions of the andragogical model (check marks in column 2). This presents several problems because the program cannot be conducted in a completely andragogical approach (comments that follow are noted in the appropriate cell in Figure 5.4). First, the ultimate goal of the program is to enhance organizational performance. Thus, learners will not have as much choice about the content of the learning (goal factor). It was determined that considerable effort will have to be devoted to convincing the learners of the need to know because some may not perceive they need the program. Second, most of the learners are experienced managers who consider themselves to be reasonably accomplished at their jobs. However, the program will challenge learners’ mental models of management development as it presents a new approach to managing in the public sector. Thus, their prior experience could actually be a barrier to learning (individual difference factor). Next, it was determined that few of them had engaged in self-directed learning with regard to management issues. This fact, coupled with the unfamiliarity of the material, will make self-directed learning unlikely, at least in the early stages of the program. Further complicating the design is that there is likely to be little formal payoff, because public sector employment systems do not allow for performance or skill-based pay increases (a situational factor). Much of the payoff will be intrinsic, and learners will have to be convinced of the value. Finally, the subject matter itself will shape the learning. The approach being taught relies on a complex integration of theories and would be unfamiliar to these managers. Thus, some portions of the program may be more didactic than others (subject-matter factor).

Figure 5.4  Andragogical learner analysis: case 2

This example illustrates how andragogy becomes more powerful by explicitly accommodating contingencies present in most adult learning situations. It is difficult to explicate the precise mechanisms by which the factors in the outer ring will influence application of the core assumptions, due to the complex ways in which they interact. But andragogical learner analysis based on the andragogy in practice framework provides practitioners with a structured framework within which to consider key ways in which andragogy will have to be adapted.

 

Summary

This chapter provides a clarified conceptualization of the andragogical model of adult learning that more closely parallels the way andragogy is applied in practice. We believe it is closer to the original intent. The andragogy in practice model expands andragogy’s utility by (1) conceptually separating the goals and purposes of learning from the core andragogical principles of the learning transaction so that the interactions and adaptations can be more clearly defined; and (2) explicitly accounting for individual, situational, and subject-matter differences in the learning situation.

This is not an attempt to reignite previous debates about andragogy or to suggest that andragogy should be the single defining model of adult learning. Rather, we tend to agree with Merriam and Cafferella (1999), who said: “We see andragogy as an enduring model for understanding certain aspects of adult learning. It does not give us the total picture, nor is it a panacea for fixing adult learning practices. Rather, it constitutes one piece of the rich mosaic of adult learning” (p. 278). Knowles’s original work is entirely consistent with this expanded view. To the extent that andragogy is the right model of adult learning in a given situation, the andragogy in practice framework should improve its application.

As some critics have pointed out, andragogy has not been well tested empirically (Grace, 1996; Pratt, 1993). However, the reality is that none of the prominent theories or models of adult learning have been well tested empirically (Caffarella, 1993; Clark, 1993; Hiemstra, 1993; Merriam and Caffarella, 1999). All, including andragogy, are in need of more research. Knowles (1989b) himself acknowledged in his autobiography that he no longer viewed andragogy as a complete theory: “I prefer to think of it as a model of assumptions about adult learning or a conceptual framework that serves as a basis for emerging theory” (p. 112).

It is important that andragogy be evaluated from multiple perspectives. However, such research should not ask questions about andragogy that are outside its intended transactional frame. Further research is needed to more explicitly define how the andragogical principles will be affected as different factors change. We see this as a further attempt to clarify how andragogy can be a more realistic, and therefore useful, approach to adult learning.

 

Reflection Questions

· 5.1 Discuss the ideas of adult learning and adult education and the implication of the differences.

· 5.2 Do you see andragogy’s focus on the learning transaction versus the goals and content of adult learning as a strength or a weakness? Discuss your position.

· 5.3 Discuss the utility of the andragogy in practice figure from a practitioner perspective.

· 5.4 In defending this extension of andragogy into practice, what would be your main supporting arguments?

· 5.5 Discuss the case example 1 by simply changing two of the specific influences (two of the cells) that could radically impact on the learning approach to be taken.

· 5.6 Discuss the case example 2 by simply changing two of the specific influences (two of the cells) that could radically impact on the learning approach to be taken.

Constructivists

Peer Replies: Read several of your classmates’ posts and respond to at least two of your classmates, and at least one of your classmates’ responses to your initial post.

At least one of your replies should be to a student that addressed a different theory/ideology than you did. Did you agree with their summation? How do you think these two areas (constructivism and humanism) could potentially work together to increase effective learning opportunities for self, and others? Share how you might approach life (and learning) if you were a promoter of humanism (human transformation).

Marques’s Post:

 

Constructivists suggest that a person’s reality is unique from others and thus, effects what, how, and how effective knowledge is acquired. This is suggested to be affected by numerous variables such as culture, past experiences, and past knowledge. This is true! Everyone does not eat the same food, speak the same language or understands the same culture. My reality is based from the good morals and values I was raised with. I am happy about life because I know I have the power to change my world.

  • What does logical positivism suggest to us about constructivist-based theories? Do you agree or disagree? I disagree with logical positivism because it suggest that problems should be answered through research. I agree that discovering information has to come from one’s personal experiences.
  • How do exogenous constructivism, endogenous constructivism, and dialectical constructivism differ and why does it matter? They matter because they are a part of the knowledge construction process based on realities of the environment we experience (Rosser 2017).
  • How does situated cognition (discussed in Week 3) support the suggestions made by constructivism? In my opinion, it supports it because of the importance it puts on the impact of culture and history when it comes to learning.
  • Discuss a personal experience where you feel constructivism ideologies explained either the effectiveness of, or the non-effectiveness of, the learning experience.

In the text it states, “Constructivist-based theories suggest that one’s environment plays a role in meaningful learning” (Rosser 2017). A personal experience I learned was learning how to change a flat tire. I grew up in an environment that taught me only the strong survive in this world. For example, you had to be knowledgeable about various skills and techniques in order to maintain your life. I agree with constructivist theories because I was an active participant in my knowledge construction. I was available and willing to receive the knowledge I was being taught. I consider this learning problem based learning because learning how to change a tire was considered problem solving for me. I was 8 or 9 years old. I had never changed a car tire before but I was forced to learn by example. This can also be categorized as self-directed learning.

  • What implications in learning effectiveness might exist if construction of individualized knowledge is negated?

You cannot deny the truth of individualized knowledge. In my opinion, you can call it hands on learning. Effective learning cannot be achieved without individualized knowledge. For example, if you want to learn how to be good at cooking you have to put your hands in the mix and understand the texture of the food you want to learn how to cook.

Reference:

Rosser-Majors, M. L. (2017). Theories of learning: An exploration. Retrieved from https://content.ashford.edu

Tatyana’s Post:

 

Do you feel that learning, from the approach of a human’s potential, rather than from a purely content driven (you need to know this) perspective, is a viable way to approach investigating “how we learn”? Why or why not?

I think the way that we learn from an human potential is important versus just learning from content. This way we learn at our own given time and at our own levels. If we learn from just the content driven perspective, we are not learning what we need to know at the right time for us personally. With this perspective we are just going with the flow of things an not necessarily obtaining the knowledge needed, the knowledge then is not stored but rather but to the side until we obtain what we need to learn on our time.  Because not everyone takes in knowledge the same way it might take others longer to grasp what is being taught versus the average person.

Waldorf Education posits that it is a school founded on humanism ideologies. After reading the content, do you agree with their position? Would this type of education work with adults (yourself)?

After reading the content I think that Waldorf had agenda of what he wanted for his idea of education. As I am reading it is stated that “However, this method of learning, often considered too loose and playful (Cook, 2014), also has its controversial aspects (Dewey, 2012; Staudenmaier, 2012). Concerns about the prevalence of bullying, low cultural-diversity inclusion (Cook, 2014), and a historically religious foundation all spark questions about the intentions of this method of education” (Rosser-Major, 2017) This can worry some people who are going to this school or even the parents that are sending their children to the school. His ways were developed only on his philosophy, with his ways of education I would say that it would be hard for adults like me to believe in it or follow it from only one person’s perception and beliefs. His studies are more for smaller children or someone who wants to get in touch with their body, soul, and spirit. His ways of learning have no discipline for adults and for the real world.

Describe a personal example of experiential learning that you have experienced.

My example would have to be when I learn how to take care of the elderly. This was more of a hands-on experience because videos did not serve the real task justice. The videos made it seem like a piece of cake when actually it is hard work. Caring for the elderly takes a great deal of time and patience. From the constant need for attention or for tasks to be handled or from the ones who aren’t in their right mind who require more attention because they sometimes like to get aggressive.

How can the areas of motivation and needs potentially increase effective learning, as suggested by humanistic ideologies?

If you are motivated to do something, then you are more likely to do it instead of putting it off. Motivation is the biggest part of showing that you have the potential to do something. If you are motivated to learn you stand out and your work at times can show for it to. “self-determination theory (SDT), a theory of motivation that suggests that three variables are crucial to support motivation: autonomy, competence, and belonging. The article also distinguishes between motivation that is aligned with self-goals (e.g., the desire to earn a degree) versus mandatory requirements.” (Rosser-Major,2017 6.4)

How do the variables of organismic integration theory (OIT) reflect the humanistic model?

“Organismic integration theory (OIT), was introduced to detail the different forms of extrinsic motivation and the contextual factors that either promote or hinder internalization and integration of the regulation for these behaviors (Deci & Ryan, 1985). (Rosser-Major,2017 6.4) It explains the process of a person’s transformation to their self-regulated version. It is the process of showing motivation and self-determination.

References

Rosser-Majors, M. L. (2017). Theories of learning: An exploration. Retrieved from https://content.ashford.edu

My post and the student who responded:

 

According to the researches I carried out, the logical positivism suggests to us that the constructivist based theories are ideological. According to logical positivism, the constructivist theories do not have solid findings obtained through controlled observations or experimentation. However, I agree with this due to the fact that human beings deter the meaning of different situations and therefore the logical positivisms has been able to put it in the right perspective (Chávez, 2019).

The endogenous constructivism put more emphasis on the nature of the learner’s knowledge. On the other hand, the exogenous constructivism differentiates the knowledge acquired can be used in different tasks and hence can be developed through the instructions given to people. Again, the dialectical constructivism is an approach which is based on theory of constructive operators to which it is presented. According to this theory, the human psychological functioning is brought about by the dynamic syntheses of different schemes. The theories manners in that they explain the manner in which people acquire their knowledge (Mukhalalati, 2019).

According to the situated cognition makes it clear that knowing is inseparable from doing by arguing that the knowledge acquired by people is situated in activities which are related to social and the cultural context. This relates to the constructivism suggestions in that it has made it clear that the knowledge acquired by people cannot be separated from them.

The personal experience where I feel constructivism ideologies explained effectiveness of the learning experience is whereby different jobs are given based on the experience of a person. I consider the problem based learning because it ensures that the social problems are solved accordingly (Norton, 2019).

If construction of individualized knowledge is negated, the learning process will lack realistic context. However, this will make it hard for the learners to use experience and constructive process of knowledge.

References

Chávez, T. A., Givens, J., Lemberger-Truelove, M. E., Lemberger-Truelove, T., & Palacios, A. F. (2019). Dialogical meaning and justice for constructivist and existential psychologies. Journal of Constructivist Psychology, 32(2), 138-147.

Mukhalalati, B. A., & Taylor, A. (2019). Adult Learning Theories in Context: A Quick Guide for Healthcare Professional Educators. Journal of medical education and curricular development, 6, 2382120519840332.

Norton, A. L., & Tan, T. X. (2019). The relationship between licensed mental health counselors’ political ideology and counseling theory preference. American Journal of Orthopsychiatry, 89(1), 86.

Kathryn response to my post:

 

Hello,
I agree that constructivism can be ideological and is based on an individual’s ability to learn through how they perceive the outside world and how they connect that information with already existing schemas and perceptions.  Logical positivism does posit that what is meaningful should be verifiable unlike constructivism in general (Rosser-Majors, 2017). I can agree with your view that people can see and perceive things and situations differently.  Endogenous and exogenous constructivism can be seen as the external and internal development of knowledge.  I can see how you explained dialectical constructivism.  It is interesting how all three theories of constructivism pertain to different sources for learning.  There is the internal source, the external source, and the social source.  I do like how you mentioned that the psychological functioning pertains to the combination of different schemata in dialectical constructivism.  When compared to humanism, even with all the different sources of learning, there is still the progression of knowledge which can elect in self-actualization.  What do you think?  I can agree that the knowledge they have obtained through situated cognition cannot be separated from them, but it is interesting how the information can also be rendered useless if it is not used in their respective social and cultural contexts.  I think it compliments humanism by supporting the fact that some learning can be effective in experiential and out of school ways.  I enjoyed reading your post, good job!

Rosser-Majors, M. L. (2017). Theories of learning: An exploration. Retrieved from https://content.ashford.edu

Ethical Issues Facing Special Education

Discussion 1: Ethical Issues Facing Special Education

The most pressing ethical issues facing special education today are not new. While the particular examples of the mistreatment of children in the research studies from this module’s Additional Resources occurred in the past, they are no less relevant today. As a special education professional, you may determine that the reasons for the abuse exist now, just as they did when the studies were conducted. As a leader in the field of special education, it is critical to be sensitive to the pressures and challenges facing those conducting scientific investigations. Acute awareness of these challenges will support you to act effectively and ethically in your own practice and when scrutinizing the practices of others.

In this Discussion, you will consider specific examples of ethical issues in special education research. You will also examine the relationship between seeking to conduct a valid study and weighing the cost relative to impacts on study participants.

To prepare:

· Review all module Learning Resources and consult the articles found in the Additional Readings list. Pay particular attention to content focusing on ethical research issues with students with exceptionalities.

A response to the following:

· What is one of the most pressing ethical issues facing the field of research in special education today?

· Analyze the relationship between research ethics in special education and validity. What are the potential abuses, and by whom?

Support your responses with specific references to the Learning Resources, outside resources, and personal experience.

Learning Resources

Note: To access this module’s required library resources, please click on the link to the Course Readings List, found in the Course Materials section of your Syllabus.

Required Readings

Florian, L. (Ed.). (2014). The SAGE handbook of special education (2nd ed.). London, England: Sage.

  • Chapter 21, “A Disability Studies Frame for      Research Approaches in Special Education”(pp. 351–367)

    Focus on the promise of disability studies approach to      research, addressing policy and socio-cultural context, and disability      studies and transformative influence.

O’Neill, R. E., McDonnell, J. J., Billingsley, F. F., & Jenson, W. R. (2011). Single case research designs in educational and community settings. Upper Saddle River, NJ: Pearson.

  • Chapter 1, “Historical Background and      Development of Single Case Research” (pp. 1–13)

    Focus on the development of single case research as a valid      and reliable method in special education. Note: You will      use this reading for your work on your MA.

Rumrill, P. D., Cook, B. G., & Wiley, A. L. (2011). Research in special education: Designs, methods, and applications. Springfield, IL: Charles C. Thomas.

  • Chapter 1, “Introduction to      research in Special Education” (pp. 3–17)

    Focus on the elements of research that are common across      studies in the field of education. Also pay particular attention to      characteristics of research that are unique to special education. Note      challenges to the science of special education.

  • Chapter 4, “Ethical Issues      and Guidelines for Special Education Research” (pp. 73–99)

    Focus on a review of the underlying ethical principles of      special education. Pay particular attention to the treatment of human      subjects. Consider that the use of the results of a research study should      consider impacts on research participants.

  • Chapter 5, “Research Validity” (pp. 100–117)

    Focus on the general concept and specific types of research      validity. Review definitions of internal and external validity and the      threats to each. Note how you may apply what you learned to critique your      own work, and the studies conducted by other researchers.

Vaughn, S., & Swanson, E. A. (2015). Special education research advances knowledge in education. Exceptional Children, 82(1), 11–24.

Additional Resources

Although every Additional Resource is not required reading, it is highly recommended that you read all of the Additional Resources. Be sure to make note of the Additional Resources which align with the content and focus of Discussions and Assignments.

Note: The resources were selected for the quality of the information and examples that they contain and not the date of publication.

Cook, B. G., Tankersley, M., & Landrum, T. J. (2009). Determining evidence-based practices in special education. Exceptional Children, 75(3), 365–383.

Retrieved from the Walden Library databases.

Focus on the synthesizing of research approaches, findings, and recommendations. Reflect on the analysis of studies. Note the processing for applying quality indicators and standards.

Florian, L. (Ed.). (2014). The SAGE handbook of special education (2nd ed.). London, England: Sage.

  • Chapter 20, “Comparative and International      Perspectives on Special Education”(pp. 335–349)

    Focus on International perspectives on research in special      education, research gaps, and the future of research on special and      inclusive education.

Kubina, R. M., Kostewicz, D. E., & Datchuk,. S. M. (2010). Graph and table use in special education: A review and analysis of the communication of data. Evaluation & Research in Education, 23(2), 105–119.

Retrieved from the Walden Library databases.

Focus on the use of the survey, paying particular attention to data graphs and tables. Study the findings and conclusions.

Mastropieri, M. A., Berkeley, S., McDuffie, K. A., Graff, H., Marshak, L., Conners, N. A., & Cuenca-Sanchez, Y. (2009). What is published in the field of special education? Analysis of 11 prominent journals. Exceptional Children, 76(1), 95–109.

Retrieved from the Walden Library databases.

Focus on the types of articles published in the field of special education. Consider the meaning of this for the future of special education and review how the analysis was conducted.

Rumrill, P. D., Cook, B. G., & Wiley, A. L. (2011). Research in special education: Designs, methods, and applications. Springfield, IL: Charles C. Thomas.

  • Chapter 2, “Getting Started      in Special Education Research—Variables, Research Questions, and      Hypotheses” (pp. 18–37)

    Focus on research questions, identification of variables,      theory, and sampling. Review sources of research ideas. Consider the      various types of sampling procedures and the variety of variable types.

  • Chapter 3, “Measurement and      Statistics in Special Education Research” (pp. 38–72)

    Focus on measurement issues, with a particular emphasis on the      purpose of measurement in special education. Reflect on levels of      measurement, statistics, and the array of approaches to statistical      analysis.

  • Chapter 9, “Guidelines for Composing and      Evaluating Research Articles” (pp. 193–215)

    Focus on the structure of a research report. Reflect on the      organization of a paper and the most critical elements that should be      included. Study APA format carefully as it is the typical style expected      in research reports.

Vince Garland, K. M., Holden, K., & Garland, D. P. (2016). Individualized clinical coaching in the TLE TeachLivE Lab: Enhancing fidelity of implementation of system of least prompts among novice teachers of students with autism. Teacher Education and Special Education, 39(1), 47–49.

Retrieved from the Walden Library databases.

Focus on the all aspects of the study especially the multiple probe across participants’ single case design. This is a very good example of single subject research to address a practical problem in teacher education.

Ethical Challenges in Research

The following reports address the many ethical challenges inherent in research with children.

Matutina, R. E. (2009). Ethical issues in research with children and young people: Robin Matutina reviews the literature on the ethical dilemmas involved in conducting child-specific research and suggests strategies to safeguard the legal rights of children. Paediatric Nursing, 21(8), 38–44.

Retrieved from the Walden Library databases.

Focus on the history of research with children. Note that most of the studies occurred in the United States. Consider the implications for today’s researchers.

Mayeux, L., Underwood, M. K., & Risser, S. D. (2007). Perspectives on the ethics of sociometric research with children: How children, peers, and teachers help to inform the debate. Merrill-Palmer Quarterly, 53(1), 53–78.

Retrieved from the Walden Library databases.

Focus on the purpose of sociometry. Reflect on the challenges presented to researchers who seek to treat children ethically. Consider steps for protecting children.

Using A-B-A-B And Multiple Baseline Designs

For this Assignment, you will defend multiple methods of single-subject designs and analyze study data to suggest interventions.

To prepare:

· Review the data provided in the articles by Ciftci, H. D., & Temel, Z. F. (2010) and Evmenova, A. S., Graff, H. J., Jerome, M. K., & Behrmann, M. M. (2010). Note the use of A-B-A-B and multiple baselines approaches in these studies and how you might defend the use of these approaches.

· Review the course text readings for this module, as well as the media. Think about the concepts and ideas present in these Learning Resources and how they might inform your interpretation of the data in the research studies.

Compose a 4–5 page paper in which you:

· Defend the use of A-B-A-B and multiple baselines designs in the Ciftci, H.D., et. al. (2010) and Evmenova, A.S., et. al. (2010) studies. In your response, provide a rationale for using a different approach to each study.

· Based upon the graphics, analyze the data presented in each study. Explain what the data tells you, your interpretation of the results, and the interventions the data suggest.

Learning Resources

Note: To access this module’s required library resources, please click on the link to the Course Readings List, found in the Course Materials section of your Syllabus.

Required Readings

Florian, L. (Ed.). (2014). The SAGE handbook of special education (2nd ed.). London, England: Sage.

  • Chapter 22, “The Applied Science of Special      Education: Quantitative Approaches, the Questions They Address, and How      They Inform Practice” (pp. 369–388)

    Focus on quantitative designs and why they are key for      research in the field of SPED.

Rumrill, P. D., Cook, B. G., & Wiley, A. L. (2011). Research in special education: Designs, methods, and applications. Springfield, IL: Charles C. Thomas.

  • Chapter 6, “Quantitative Research Designs”      (pp. 118–152)

    Focus onthe description of single-subject research. Consider the      most important aspects of this approach to research. Review the quality      indicators of single-subject research.

O’Neill, R. E., McDonnell, J. J., Billingsley, F. F., & Jenson, W. R. (2011). Single case research designs in educational and community settings. Upper Saddle River, NJ: Pearson.

  • Chapter 2, “Defining What to      Measure and How to Measure It” (pp. 15–38)

    Focus ondefining the target behavior, dimensions of the behavior to      be measured, and measurement procedures. Consider the importance of      consistency in measurement.

  • Chapter 3, “Internal and      External Validity and Basic Principles and Procedures of Single Case      Research (SCR) Designs” (pp. 39–48)

    Focus ondefinitions ofinternal and external validity as they relate      to single-subject research. Pay particular attention to common basic      principles. Study the procedures of single-subject designs.

  • Chapter 4, “Making Sense of      Your Data: Using Graphic Displays to Analyze and Interpret It”(pp. 49–66)

    Focus onthe purposes of graphic displays of data. Note the      characteristics and the process of analyzing the data that are presented.      Review the questions that guide a comprehensive analysis.

  • Chapter 5, “Common Steps and Barriers You May      Have to Deal With in Conducting a Research Study” (pp. 67–78)

    Focus onthe common steps and challenges to conducting a research      study. Consider methods for overcoming challenges in the design of your      own research.

Additional Resources

Although every Additional Resource is not required reading, it is highly recommended that you read all of the Additional Resources. Be sure to make note of the Additional Resources which align with the content and focus of Discussions and Assignments.

Note: The resources were selected for the quality of the information and examples that they contain and not the date of publication.

Ciftci, H. D., & Temel, Z. F. (2010). A comparison of individual and small-group instruction with simultaneous prompting for teaching the concept of color to children with a mental disability. Social Behavior & Personality: An International Journal, 38(4), 479–493.

Retrieved from the Walden Library databases.

Focus on the approach to single-subject research. Note that an inter-subject multiple probing was used in this investigation. Pay specific attention to the measurement of the subjects’ developmental levels.

Evmenova, A. S., Graff, H. J., Jerome, M. K., & Behrmann, M. M. (2010). Word prediction programs with phonetic spelling support: Performance comparisons and impact on journal writing for students with writing difficulties. Learning Disabilities Research & Practice, 25(4), 170–182.

Retrieved from the Walden Library databases.

Focus on the changing conditions single-subject design. Study how it was used and replicated across subjects. Read about social validity.

Parker, R. I., Vannest, K. J., & Brown, L. (2009). The improvement rate difference for single-case research. Exceptional Children, 75(2), 135–150.

Retrieved from the Walden Library databases.

Focus on the style of field test for summarizing single-case research data. Recognize the improvement rate difference. Consider how it is calculated.

American Institutes for Research. (n.d.). National Center for Technology Innovation (NCTI). Retrieved from http://www.air.org/project/national-center-technology-innovation-ncti/

Focus on the real world examples of single-subject research designs. Note the specific elements. Review the description of single-subject research.

Required Media

Laureate Education (Producer). (2012). Introduction to single-subject design [Video file]. Baltimore, MD: Author.

Note: The approximate length of this media piece is 3 minutes.

In this media program, Dr. Terry Falcomata explains Single-Subject Design.

Focus on single-subject design as a quantitative research approach that allows researchers, clinicians, and educators to establish experimental control in answering a question of some clinical or educational relevance. Reflect on how the use of single-subject design can demonstrate that an intervention or program reliably produces positive changes in important behaviors or skills.

Accessible player  –Downloads– Download Video w/CC Download Audio Download Transcript

Laureate Education (Producer). (2012). A-B-A-B single-subject design [Video file]. Baltimore, MD: Author.

Note: The approximate length of this media piece is 4 minutes.

In this media program, Dr. Terry Falcomata explains the A-B-A-B Single-Subject Design.

Focus on the example of the experiment that uses an A-B-A-B single-subject design. Note that it is sometimes referred to as a withdraw or reversal design. Consider how it uses repeated measures of a behavior strategically across baseline and intervention conditions.

Accessible player  –Downloads– Download Video w/CC Download Audio Download Transcript

Learning Disabilities Research

Learning Disabilities Research & Practice, 25(4), 170–182 C© 2010 The Division for Learning Disabilities of the Council for Exceptional Children

Word Prediction Programs with Phonetic Spelling Support: Performance Comparisons and Impact on Journal Writing for Students

with Writing Difficulties

Anna S. Evmenova, Heidi J. Graff, Marci Kinas Jerome, and Michael M. Behrmann George Mason University

This investigation examined the effects of currently available word prediction software programs that support phonetic/inventive spelling on the quality of journal writing by six students with severe writing and/or spelling difficulties in grades three through six during a month- long summer writing program. A changing conditions single-subject research design was used and replicated across the participants. Using a daily writing prompt, students alternated between Co:Writer, WordQ, and WriteAssist word prediction programs. The results provided evidence for the effectiveness of various word prediction programs over word processing, and demonstrated improvements in spelling accuracy across conditions. Relative gains in the total number of words and composition rate were modest for the majority of the participants and should be interpreted with caution due to several methodological issues. The social validity interviews revealed that all students enjoyed the word prediction programs and found them beneficial. Study limitations and recommendations for future research are discussed.

In recent years there has been an increasing interest in tech- nology applications for students with high-incidence disabil- ities, including students who struggle with writing. Several applications have been discussed in the literature (Edyburn, 2005; Higgins & Raskind, 2004; Lewis, 1998, MacArthur, Ferretti, Okolo, & Cavalier, 2001). Writing is a complex skill and students may experience difficulties with a variety of as- pects, including mechanics and written content expression; however, computer-related technologies can enable students to bypass their deficits and support them through all stages of the writing process (Behrmann & Jerome, 2002; Lewis, 1998; Williams, 2002; Zhang, 2000).

To date, accumulated research has shown the effective- ness of word processors for ease of text alteration and ma- nipulation (Lewis, Ashton, Haapa, Kieley, & Fielden, 1998; MacArthur & Graham, 1987; MacArthur & Schwartz, 1990; Zhang, 2000), as well as spell checkers and other aids for ease of editing (Ashton, 1999; MacArthur, Graham, Haynes, & DeLaPaz, 1996; McNaughton, Hughes, & Ofiesh, 1997; Montgomery, Karlan, & Coutinho, 2001). Text-to-speech software programs that allow users to hear written prod- ucts have been found to be effective for accuracy monitoring (MacArthur, 1998, 1999; Raskind & Higgins, 1995). Outlin- ing and brainstorming programs that allow visual representa- tion of ideas have been shown to support users in planning and

Requests for reprints should be sent to Anna S. Evmenova, George Mason University, 4400 University Dr., MS 1F2, Fairfax, VA 22030. Electronic inquiries should be sent to aevmenov@gmu.edu.

organizing their writing (Anderson-Inman & Ditson, 1999; Blair, Ormsbee, & Brandes, 2002; Sturm & Rankin-Erickson, 2002). In addition, the use of speech recognition programs, which transform spoken words into text, have resulted in longer, more complex and accurate writing passages by stu- dents with learning disabilities and/or writing difficulties (De La Paz, 1999; Higgins & Raskind, 2000; MacArthur & Cav- alier, 2004; Quinlan, 2004; Raskind & Higgins, 1999).

Despite the available research, the area of assistive tech- nology for students with mild disabilities is still not fully developed (Edyburn, 2005). While some evidence of the effectiveness of the technology exists, few studies have in- vestigated its use by students with high-incidence disabil- ities in authentic learning environments, such as schools or other educational programs (Blackhurst, 2005; Edyburn, 2001). This is true for the utilization of word prediction soft- ware for students with learning disabilities. Word predic- tion programs were originally created for users with physical disabilities, and were designed to increase typing rate and decrease spelling errors (Tumlin & Heller, 2004). While the reduction in keystrokes addresses the needs of students with physical disabilities, additional features of word prediction software can be helpful in compensating for word recall, spelling, and handwriting difficulties faced by students with learning disabilities (Lewis, 1998). With a word prediction program, the user is offered a list of word choices as she/he begins to type the word. Word suggestions appear before or after the first letter of the word is entered. The word “pre- diction” feature allows for the words to be generated based

 

 

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on the lexical and grammatical context (MacArthur, 1999; Sitko, Laine, & Sitko, 2005). As with other assistive technol- ogy solutions, word prediction programs may yield writing products of higher quality if the features of the program are coordinated with the user’s abilities and needs (Ashton, 2005; Sitko et al., 2005). However, despite being a promising ap- plication, research on the use of word prediction software for students with writing difficulties is limited (MacArthur et al., 2001).

Previous Research

A majority of word prediction studies were conducted in the 1990s. Several recent studies have provided limited support for the positive effects of word prediction pro- grams on the writing readability/legibility and spelling of students with learning disabilities (Handley-More, 2003; MacArthur, 1998, 1999; Williams, 2002). In his original study, MacArthur (1998) compared the effects of speech synthesis and word prediction to word processing on the composition rate, spelling, and legibility of the written dia- logue journal entries. For four out of five students, the fea- tures offered by My Words word prediction program resulted in improved legibility and spelling in dialogue journal en- tries. The composition rate was not affected by the treatment. Later, MacArthur (1999) extended his original study by us- ing a more sophisticated Co:Writer word prediction program. In this latter study, students alternated between handwriting, word processing, and word prediction during free journal writing activities. Use of the word prediction program yielded improvement in the proportion of correctly spelled words for one out of three students and decreased the composition rate for two students. Technology had no effect on the proportion of legible words during free journal writing.

Furthermore, in the same article MacArthur (1999) re- ported the results of the second study conducted with the same participants and in the same conditions but engaging in a more demanding writing task. Students wrote from dicta- tion, thus increasing vocabulary demands. The results of the second study demonstrated improvements across legible and correctly spelled words as well as the reduced composition rate for two out of three students. Similarly, Williams (2002) and Handley-More (2003) reported relative improvements in the number and variety of words, as well as in the per- centage of legible and correctly spelled words. Thus, while existing research is somewhat ambiguous about the value of word prediction on composition rate and legibility of writ- ing by students with learning disabilities, this technology has been found to improve students’ spelling accuracy (Mirenda, Turoldo, & McAvoy, 2006).

MacArthur (1998, 1999) identified the lack of prediction from phonetic spelling as a contributing factor to the mixed results of his studies. Users had to know the exact beginning letter of the word in order for it to appear in the prediction list. Students with severe spelling problems did not benefit from the word prediction programs since they often did not know the correct initial letters of words (MacArthur, 1998). Word prediction technology has continued to progress so that software programs now recognize phonetic spelling in addi- tion to conventional spelling. Relevant predictions are now

possible based on the phonetic spelling of a word. Conse- quently, students with learning disabilities may experience more success using current, more advanced word prediction programs than was found in previous studies (MacArthur, 1998, etc.).

Research Questions

The purpose of this study was to examine the effects of the new generation of word prediction software programs that support phonetic spelling on the length, spelling accuracy, and composition rate of journal writing by students with se- vere writing and/or spelling difficulties. This study compared three different word prediction programs to include student preferences. The study was designed to replicate and extend the work of previous researchers (MacArthur, 1998, 1999). It addresses the following research questions:

1. Are there differences in length, spelling accuracy, or rate of journal writing for students with writing diffi- culties across different word prediction programs?

2. What were students’ reactions to using different word prediction programs?

A changing conditions single-subject research design was used and replicated across six students.

METHOD

Participants

Participants were students in grades 3 through 6 attending a 4-week long technology-based summer writing camp located at a major northeastern university. The camp uses technology and innovative computer software programs to enhance the writing skills of students identified by their parents and teach- ers as having difficulties with the writing process. The major- ity of the participants had been identified by their schools as having learning disabilities. Six of the 15 campers were iden- tified as candidates for word prediction intervention based on informal writing assessments as well as writing samples col- lected prior to the study. The writing assessments and samples provided data related to students’ phonetic spelling, vocab- ulary, word recall, keyboarding skills, and reading ability to differentiate between words on a prediction list.

It was critical to consider the effects of word processing and word prediction in light of students’ keyboarding skills and familiarity with the Word system. For this reason, par- ents were asked to report students’ level of familiarity with the computer and various software programs in the Parent Questionnaire that was distributed prior to the beginning of camp. According to this information, Students B, M, D, and J were sufficiently familiar, while Students C and R were comfortable enough with word processing to perform basic writing activities. Throughout the camp, due to its technolog- ical focus, all campers received more training and extended practice in basic word processing features.

Students keyboarding skills were determined via the Type- toLearn 3 program. This software reports students’ typed words per minute (wpm), accuracy percentage score, and the

 

 

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TABLE 1 Demographic Data on Study Participants

Primary IEP Writing Participants Gender Age Ethnicity Disability Case Accuracy∗

Student B M 12 WH SLD WE, M 57% Student C M 9 WH SLD WE, RC 54% Student M M 10 AS AST N/A 71% Student D M 9 WH ADD N/A 67% Student J M 11 WH SLD WE 41% Student R M 9 WH SLD WE, M 49%

Note: Age = at the beginning of the study; WH = White; AS = Asian; SLD = specific learning disabilities; ADD = attention deficit disorder; AST = autism spectrum tendencies; WE = writing expression; RC = reading comprehension; M = math; ∗ – writing spelling accuracy level is based on informal writing assessment prior to the beginning of the camp.

number of errors (e.g., Warp Speed exercise) during lesson and practice sequences. In addition, teachers can set a speed goal in wpm for each student. At the beginning of the re- search study, Students B, C, M, D, and J were at the Ready for More Challenge/Intermediate level with the speed goal of 15 wpm demonstrating their best speed as 8, 7, 10, 8, and 7 wpm, respectively. Student R scored in the Young/Easily frus- trated level with 6 words per minute. Thus, at the beginning of the study, the participants demonstrated somewhat limited typing skills, ranging from 6 to 10 wpm on typing soft- ware, which usually overestimates typing skill as compared to skills demonstrated during writing composition. Students practiced their typing skills with TypetoLearn 3 and writing composition projects throughout the camp.

The following is a description of each individual student including their age, ethnicity, disability category, special ed- ucation services, and writing abilities (see Table 1). Parents were required to report this information on parent question- naires prior to the camp registration. Students’ writing abili- ties were determined based on informal writing assessments conducted before the beginning of the camp as well as on writing samples provided by parents. While campers were not required to provide copies of psychological tests or official achievement reports, some parents attached this information to the application packages. Subjects were predominantly Caucasian and “middle class.”

Student B was a rising seventh grader from a middle-class family who received special education services in an inclu- sive general education classroom. According to his parents and a camp teacher, Student B had difficulties with planning and organizing his writing. It was observed that he fixated on spelling and lost track of his thoughts. He also tended to spell words phonetically. According to WISC III, he performed in the average range for oral language and reading and the low range for written expression.

Student C was a rising fourth-grade boy from a high- income family. Student C received services in both special education resource and inclusion settings. According to his mother, the writing process was “physically difficult for him to do and for others to read” the finished product. He had cre- ative ideas that came from his well-developed imagination, but putting them down on paper was a challenge for him.

Student C was also identified as having autism spectrum ten- dencies. He had very strong opinions about what technology he wanted and/or refused to use for his writing. According to his report cards, Student C continuously needed improve- ment in reading, spelling, and written communication. At the time of the camp, his IEP goal in writing was to expand three supporting sentences in four out of five written assignments.

Student M was a rising fifth-grade boy from a high-income family. Student M was recommended for the summer camp because of his reluctance toward writing. He was also tested and found to have traits for autism spectrum disorder with a very high-functioning level. Student M was reported to be easily frustrated with the writing process when he could not think of the correct spelling. He found it hard to focus, organize, and convey his ideas in a cohesive document. He was considered a study participant for his phonetic spelling and his deficiencies of finding the right word to convey his ideas.

At the age of 9, student D was a rising fourth-grade boy from a middle-class family. He received up to 8 hours a week extra help in the general education classroom for difficulties with writing. His mother shared with the researchers that Student D “did not like to write and did so as little as possi- ble.” His biggest problem was attending to a task; therefore, he was considered a candidate for word prediction use to provide him with additional word choice support.

Student J was a rising sixth-grade boy from a medium- income family. He received special education services in inclusive settings. Student J was reported to have severe spelling difficulty; therefore, he was considered a good can- didate for the use of word prediction programs. His mother requested all writing assignments to be completed on a com- puter with additional help for “spelling issues.” Student J’s performance on TOWL (Test of Written Language) could not be scored because his paragraph could not be deciphered. His reading and comprehension were within the average range, slightly above grade level. His writing was reported to be well below grade level (early fourth-grade level).

Student R came from a middle-income family. This rising fourth-grade student received special education services in a resource classroom. After careful observations and consul- tations with his family, school teachers, and camp instruc- tor, Student R was determined as a study candidate to help him overcome his hesitancy to write. In addition, utilizing computer programs for writing addressed his fine motor and handwriting challenges.

Materials

All Conditions

In all conditions students were asked to write daily for 20 minutes in response to the journal entry prompt. The purpose of such journal writing is to provide students with more writ- ing opportunities and daily practice (Reagan, Mastropieri, & Scruggs, 2005). It usually is free of any kind of evaluation (Williams, 2002). Personal narrative prompts were randomly assigned to students from a pool of 30 preselected prompts. They were designed to be interesting and unbiased based

 

 

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on gender, ethnicity, and socioeconomic status (e.g., “What is your favorite part of the day?,” “What is something that makes you feel happy or sad?,” etc.)

Baseline Condition

In the baseline condition, students used Microsoft Word for journal writing. Students were not able to use spell checkers or grammar checkers during writing. All camp participants were characterized by poor handwriting skills that severely interfered with their ability to write. Besides that, handwrit- ing on paper was avoided as a baseline measure to control for the novelty of technology-medium integration effect. Clark (1983) noticed an increased level of effort and focus in re- search subjects as they were introduced to novel media. This increased attention seemed to diminish as they became more familiar with the technology medium. Thus, it was critical to compare students’ writing performance using word predic- tion programs to a similar technology-based instrument such as word processing.

Treatment Conditions

Students used three word prediction programs: Co:Writer, WordQ, and WriteAssist. With these programs, text is en- tered either in a separate program application or in Microsoft Word. As each letter is typed the list of predicted words ap- pears in a small window located by the cursor. If the intended word appears in the list, a student can select the word by clicking on it or typing the number for that word. The se- lected word is automatically inserted into the sentence. If the intended word does not appear in the predicted list, a student continues to type. All three programs provide speech feed- back, so students have the option to hear predicted words before selecting one of them. These programs also have an option for the teacher to decide how many words will appear in the prediction list (usually between one and nine). While the number of predicted words is usually based on an indi- vidual student’s needs, in this research project the number of predicted words was limited to five for all programs. All three programs have spell checkers built into them. However, for the sake of this study the spell checker option was disabled in all word prediction programs as well as in the word process- ing. While these three programs are similar in their features, they are slightly different in the level of sophistication and the size and diversity of the dictionary.

Co:Writer

Co:Writer SOLO Edition, at the time of the study, was the most recent version of the program developed by Don John- ston Inc. For the purposes of this study, the word prediction feature was used when students were offered word choices even before any letters were typed. With the FlexSpell fea- ture Co:Writer provides prediction choices based on pho- netic, inventive spelling typical of students with learning disabilities and writing difficulties. This feature considers the most common letter-patterns students may try in order

to spell a word (e.g., phonetic substitutions, common letter confusions, letter reversals, letter omissions, letter additions, letter doubling, and singling, etc.). Thus, the word prediction options do not depend on the correct first letters. In addi- tion, teachers can customize the spelling support for their students allowing for flexible spelling to be taken into con- sideration always, after three letters, or encouraging exact spelling only. In this study, the FlexSpell feature was set to always provide word prediction based on phonetic spelling. Co:Writer also utilizes Linguistic Word Prediction intelli- gence. This function ensures that the word prediction list offers grammatically correct word choices based on the con- text and previously used words (e.g., predicted verbs match plural nouns, etc.). Capitalization and punctuation are also reinforced within this program (e.g., predicted words are au- tomatically capitalized). Thus, its prediction choices facili- tate improvements in correct subject–verb agreement, proper spelling, capitalization, and appropriate pronoun and article use. Co:Writer SOLO Edition provides multiple ways to cus- tomize the program to students’ individual needs. For the pur- poses of this research study, all students used the intermediate dictionary template, which consists of 12,000 words covering many school subjects such as history, geography, and science. The intermediate dictionary supported the age and writing level of the campers without overwhelming them. In addition to the speech feedback, Co:Writer offers functions such as eWordBank and Topical Dictionary. These features support student’s writing on different topics and in different genres, predicting the most appropriate words for the selected topic and/or genre. However, eWordBank and Topical Dictionary features were not used during journal writing in this research study.

WordQ

WordQ by Quillsoft is a word prediction tool used with a standard word processor. This program appears as a simply four-button overlay toolbar for a standard word processor. This program bases word predictions on students’ creative writing and context, offers examples for commonly confused words, and provides speech feedback. It offers prediction op- tions even before the starting letter is entered based on what is most likely to be the next word. This program automati- cally capitalizes the next word after the period. Unlike other two-word prediction programs, by default WordQ does not provide grammar-based predictions, so correct syntax fully depends on students. It is possible to manipulate the pro- gram to see different word endings; however, this additional option was not used in this study. Several user vocabularies are available (e.g., U.S., U.K., Canadian, blank, starter [5,000 words], intermediate [10,500], and advanced [15,000]). U.S. intermediate vocabulary was used in this study to match students’ grade level. It included 10,500 words commonly used by seconnd- to eighth-grade writers. The program learns the user’s writing style and improves the prediction options. WordQ also offers an opportunity to expand the vocabulary by adding words one-by-one or creating new topic dictio- naries. As with CoWriter, this option was not used for the purposes of this study.

 

 

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WriteAssist

WriteAssist by Second Guess software is a dyslexia-oriented word predictor. Program features include context-dependent prediction, which ensures that a student is offered suggestions even without typing anything. The program makes a predic- tion of the possible next word based on grammatical patterns and the context. It also provides optional automatic capi- talization of the first word in a sentence and proper nouns. WriteAssist includes a 30,000-word vocabulary pretrained from more than 30 million words of English text. Users are also supported with the speech-feedback feature. Just like the other two programs, WriteAssist constantly learns new words adding them to the prediction list based on the user’s writing style and word choices. However, in comparison with other two programs, WriteAssist does not provide as many additional features and can be considered to be the simplest program of the three.

Experimental Design

Changing conditions single-subject design was employed to investigate the effects of various word prediction programs on improving students’ writing (Alberto & Troutman, 2006). Prior to treatment, students’ baseline level of writing was collected for a minimum of three data points across the first week of camp. Following the stabilization of baseline, the first treatment was introduced. Students were randomly as- signed to one of the three logically preestablished orders of word prediction programs so that each student had an oppor- tunity to try three programs by the end of the study. During each following week students wrote using different programs, alternating the order across the participants. The random as- signment to a program for each particular week was used to control the influence of the increasing mastery and famil- iarity with word prediction skills (Figures 1–3). Changing treatments sequentially allowed the examination of various programs before finding one that was the most beneficial for each particular student. While changing conditions single- subject design is adequate for deciding which intervention works the best for each individual student, it cannot be used for establishing a functional relationships between the base- line and each of the conditions without the return to baseline (Kennedy, 2005). Since there was no return to baseline in this study, the results should be interpreted with great cau- tion, especially in those conditions when the improvements are inconclusive. In turn, the replication across students was used to support the possibility of stronger functional re- lationships between various word prediction programs and improvements in students’ writing as well as control for con- founding variables such as novelty of treatment (Clark, 1983; Weller, 1996) and acquisition of necessary skills (Alberto & Troutman, 2006).

Dependent Measures

The dependent variables examined included: total number of words, the proportion of correctly spelled words, and com- position rate by written words per minute.

Total Number of Words

Total number of words was calculated for each of the stu- dents’ writing samples. Proper nouns were counted as words while numerals (unless they were spelled out) were not counted as words. When scoring the total number of words, raters counted both correctly and incorrectly spelled words. The differences in length of writing were compared between word processing and word prediction, as well as among the three different programs.

Correctly Spelled Words

The proportion of correctly spelled words was calculated by dividing the number of correctly spelled words by the to- tal number of words. The raters marked each word that was spelled correctly (e.g., one word misspelled three times was counted as three mistakes). Words written in the incorrect tense or form were counted as spelling errors. Homonyms were considered misspelled. Words that were spelled cor- rectly but were inappropriately used within the context of the sentence (e.g., “peanut butter sandbox” vs. “peanut butter sandwich”) were also counted as spelling errors. Capitaliza- tion and punctuation were not considered to be errors, as these skills were not taught directly.

Composition Rate

Composition rate of typed words per minute was calculated by dividing the total number of words in students’ writing by the total minutes of composition time. Throughout the study, the beginning and ending writing times were recorded for each student.

Procedures

Once students’ and parents’ permissions were obtained, par- ticipants were asked to engage in journal writing for approx- imately 20 minutes at the beginning of each camp session over 4 weeks. The majority of the sessions lasted for 15– 20 minutes across the participants and conditions. However, a few students tended to write for 10 minutes or less (Stu- dent M in sessions 2, 3, 6, 8, 12, 14; Student J in session 15; and Student R in session 5), while some others wrote for 25 minutes or more (Student B in sessions 1, 4; Student C in sessions 4, 5, 7, 10, 17; and Student J in session 10). Students received personal narrative writing prompts daily. Later, during the day, students were engaged in other writing activities, including brainstorming, drafting, revising, edit- ing, and production. Thus, the purpose of the journal writing activity was to provide another opportunity to write without spending time on editing. However, if students wrote fewer than three sentences, they were asked to elaborate by provid- ing more details on the topic. Students were also encouraged to spell a word or choose it from the prediction list indepen- dently, without any help.

 

 

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FIGURE 1 Total number of words in journal entries across programs and students.

Baseline Condition

During the first week of camp, students wrote their jour- nal entries using a word processor without access to spell check. Depending on students’ typing and computer skills, they received instruction in typing and using the word proces- sor if needed. Such instruction included one-on-one training from the researcher as well as practice with the Type2Learn 3 software program, which provided interactive lessons to teach typing and improve speed. One of the prerequisites for participation in this study was that students had to pass the Young/Easily frustrated level associated with the typing speed goal of six words per minute. Handwriting was substi- tuted with word processing for the baseline condition, thus

fewer changes occurred when students were introduced to treatment conditions (Kennedy, 2005).

Treatment Condition

Prior to beginning the treatment, students received instruc- tion on how to use each of the word prediction programs. The training session started with a short PowerPoint pre- sentation with the basic information about word prediction. Then, all main features (e.g., checking the list, having each word from the list pronounced in order to make a word choice, speech feedback during writing, etc.) were demonstrated and practiced.

 

 

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FIGURE 2 Proportion of words spelled correctly in journal entries across programs and students.

Participants were randomly assigned to the order in which they used programs weekly (see Figures 1–3). Each week the researcher modeled the particular program assigned to stu- dents for that time. Students learned how to start the program, enable the word prediction feature, utilize the speech feed- back feature, and where to look for the prediction list. The journal writing activity was simulated for students in order to address specific functions of the particular program. Each session followed a preestablished script to ensure consistency in how every participant was introduced to each program. After the training, students had time to practice using the software.

Interrater Reliability and Fidelity of Treatment

Interrater reliability was determined using printed writ- ing samples as permanent products. Random writing sam- ples (33 percent) were distributed to an independent observer to ensure scoring reliability. The interrater agree- ment on each of three dependent variables was calcu- lated using the total agreement method, the smaller total recorded by each observer was divided by the larger to- tal and multiplied by 100 percent (Kennedy, 2005). Inter- rater agreement averaged at 99 percent (ranging from 89 percent to 100 percent) for the total number of words,

 

 

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FIGURE 3 Composition rate of journal entries across programs and students.

proportion of correctly spelled words, as well as composition rate.

Fidelity of treatment data were collected during 33 percent of all sessions. The randomly observed activities were com- pared to the checklist of expected researcher’s actions. Those actions included introducing the topic choices; introducing word prediction programs according to the script; asking stu- dents to elaborate if they wrote less than three sentences; and encouraging and allowing students to spell words or se- lect a word from the prediction list without any additional help. Thus, it was ensured that the researcher and students were doing what they were supposed to do. Such observa- tions occurred both during trainings and journal writing. The

number of correct behaviors performed by the researcher and the participants was divided by the number of planned behav- iors and multiplied by 100 percent. Sessions during which technical difficulties occurred were excluded from the data analysis. Mean procedural reliability was 100 percent across all training and journal writing sessions.

Social Validity

The social validity of each intervention, each individual word prediction program, was examined through student interviews conducted during and at the end of the study.

 

 

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Social validity as defined by Kennedy (2005) is “the estima- tion of the importance, effectiveness, appropriateness, and/or satisfaction various people experience in relation to a partic- ular intervention” (p. 219). As with any assistive technology device or program, it is very important to ensure a person’s willingness to use it. Student preferences for a program and its technological features often play an important role in its effectiveness. A large percentage of assistive technologies are abandoned because they do not meet a person’s needs and expectations (Scherer, 2005). It is critical to seek stu- dents’ input when technology is selected (Parette, Wojcik, Peterson-Karlan, & Hourcade, 2005).

RESULTS

Student performance on the total number of words, pro- portion of words spelled correctly, and composition rate was determined and analyzed through the visual analysis of mean lines in the data and the percentage of nonover- lapping data (PND) scores (Scruggs, Mastropieri, & Casto, 1987). While the changing conditions single-subject design used in this study is apt for the comparisons between the programs described in detail later, the following results on word processing versus word prediction are only prelimi- nary and should be considered with caution, especially in those cases when the changes are less noticeable and/or in- conclusive. However, some obvious differences between the baseline and various word prediction programs were noted as follows.

Word Processing Versus Word Prediction

Figures 1–3 illustrate the relative effectiveness of various word prediction programs over word processing, revealing evident improvements in the proportion of correctly spelled words by all the participants with each of the programs. While gains in the total number of words and composition rate were smaller, most students performed better on these two measures with at least one of the three word prediction programs as compared to word processing alone. Thus, the visual analysis demonstrates that participants increased in the total number of words averaging in gains from 21 words

TABLE 2 Descriptive Statistics (M(SD)) for Each Dependent Variable across Conditions and Participants

Total Number of Words Words Correctly Spelled Composition Rate

Students BL WQ CW WA BL WQ CW WA BL WQ CW WA

Student B 22.7 (8.5) 58 (13.8) 57.2 (6.4) 48.8 (5.1) 61 (4) 91.8 (4.4) 92 (7) 93.2 (3.1) 1.1 (0.4) 2.9 (0.7) 3.6 (0.4) 2.9 (0.4) Student C 33.3 (15.9) 63.8 (6.6) 39 (5.4) 37.8 (4.7) 61 (7) 98.4 (1.5) 96.6 (2.6) 97.4 (2.4) 1.5 (0.7) 2.5 (0.8) 1.7 (0.5) 1.9 (0.3) Student M 16.3 (3.1) 26.4 (6.3) 20 (5.5) 24 (5.3) 75.3 (1.2) 98.2 (2.5) 95.6 (7.4) 98 (2.7) 1.04 (0.1) 2.2 (1.5) 1.5 (0.6) 2.2 (0.4) Student D 14 (6.1) 23.8 (5.8) 20.6 (4.4) 31.2 (8.6) 59 (2) 99.2 (1.8) 97.8 (3.2) 100 (0) 0.7 (0.2) 1.6 (0.4) 1.4 (0.3) 2.1 (0.6) Student J 27.7 (1.2) 59 (18.7) 34.2 (3.8) 33 (10) 47 (5.6) 92 (5.7) 91.4 (5.3) 92.2 (5) 1.4 (0.1) 3.6 (0.9) 2.03 (0.7) 2.5 (1.4) Student R 12.7 (1.5) 29.8 (4.3) 22 (5.7) 16.4 (3.9) 44.7 (1.5) 98 (1.9) 92.4 (10.8) 95 (4.7) 0.8 (0.1) 1.6 (0.2) 1.4 (0.2) 0.9 (0.3) Total: 21.1 (6) 43.5 (9.3) 32.2 (5.2) 31.9 (6.3) 58 (3.5) 96.3 (3) 94.3 (5.4) 96 (3.7) 1.1 (0.3) 2.4 (0.7) 1.9 (0.4) 2.1 (0.6)

Note: BL = baseline, word processing condition; WQ = WordQ; CW = CoWriter; WA = WriteAssist; M (SD).

(SD = 6) to 36 words (SD = 6.9) across all students and all word prediction programs. In particular, the amount of writing doubled for Student B with all three programs, for Students C, J, and R with WordQ, for Student D with Write- Assist software. The gains were quite modest and Student M only slightly increased the amount of writing with all three programs. The overall performance of the participants on each measure can be seen from the descriptive statistics in Table 2.

The positive effects of word prediction on students’ writ- ing were more obvious from the analysis of the proportion of correctly spelled words. On average students increased their spelling accuracy from 58 percent (SD = 3.5) to 96 percent (SD = 4) across all the programs. In addition, with the composition rate, students wrote relatively faster with all the programs improving from 1.1 wpm (SD = 0.3) to 2.4 wpm (SD = 0.7) when using WordQ; to 1.9 wpm (SD = 0.4) when using CoWriter; and to 2.1 wpm (SD = 0.6) when using WriteAssist. However, the individual performance of each participant with different word prediction programs on the composition rate measure should be noted, as changes were more evident for some students than others. The overall gains in students’ writing from word processing to word pre- diction were corroborated by the PND scores across students and across all three programs with the average 80 percent improvement in the total number of words, 100 percent in the proportion of correctly spelled words, and 84 percent in the composition rate. However, the replication of this study using a different single-subject research design is needed to suggest the effectiveness of word prediction over word pro- cessing.

Total Number of Words With Different Word Prediction Programs

As can be seen from Figure 1, almost all students demon- strated a relative increase in the total number of words from the baseline to the word prediction condition. However, the contrast was more evident for students using some programs than others. According to the visual analysis and mean val- ues, Students C, J, and R demonstrated clear improvements in the total number of words when using the WordQ word prediction program (improvements from an average of 33

 

 

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(SD = 15.9) words to 64 (SD = 6.6) for Student C; from 28 (SD = 1.2) to 59 (SD = 18.7) for Student J; and from 13 (SD = 1.5) to 30 words (SD = 4.3) for Student R). At the same time, Student C and J’s performance when using CoWriter and WriteAssist, as well as Student R’s writing when us- ing WriteAssist demonstrated little if any improvement over word processing (e.g., Student C did not write more with either CoWriter or WriteAssist).

While Students B and M showed similar progress with all three programs, they appeared to produce a slightly larger number of words, particularly with the WordQ program (M = 58; SD = 13.8 and M = 26.4; SD = 6.3, respectively). However, while Student B’s amount of writing increased suf- ficiently with all three programs, changes in Student M’s writing were only minor. Student D’s graphed data indicated effectiveness of the WriteAssist software only (M = 31.2; SD = 8.6).

The percentage of nonoverlapping data corroborates the conclusions drawn from the visual analysis. Thus, Students C, J, and R scored 100 percent PND when using WordQ demonstrating 100 percent improvement in the total number of words as compared to the word processor. The PND scores for Student B were 100 percent for each of the programs. Student D’s PND scores reached 100 percent PND with the WriteAssist program only. Given changes in the total number of words with the other word prediction software for the aforementioned participants and Student M’s modest writing gains with all three programs, his results were considered unreliable and were not interpreted.

Proportion of Words Spelled Correctly With Different Word Prediction Programs

Visual inspection of the data points for the proportion of words spelled correctly across the three different programs suggested the following results. All students considerably improved their spelling when using word prediction software compared to word processing regardless of the program. Stu- dents showed similar gains in the mean values with each of the three word prediction programs. Student B improved from an average of 61 percent (SD = 4) spelling accuracy to 92.3 percent (SD = 4.8) with word prediction. Student C’s spelling accuracy increased from 61 percent (SD = 7) in the baseline to 97.5 percent (SD = 2.2) using software. Student M went from 75.3 percent (SD = 1.2) in the base- line to 97.3 percent (SD = 4.2) with the programs. Student D increased from an average of 59 percent (SD = 2) in the baseline to 99 percent (SD = 2.5) in the treatment condition. Student J improved from 47 percent (SD = 1.5) using word processing in the baseline condition to 91.9 percent (SD = 5.3) using word prediction. Student’s R gains in the spelling accuracy measure went from 44.7 percent (SD = 1.5) in the baseline to the averaged 95.1 percent (SD = 5.8) with the treatment. Individual gains in spelling accuracy with each of the three word prediction programs can be found in Table 2. All students accelerated immediately demonstrating 100 per- cent PND across all word prediction conditions as compared to word processing.

Composition Rate With Different Word Prediction Programs

Students increased their composition rates to differing de- grees and with different results depending upon the word prediction program. A few consistent and evident through the visual analysis changes are as follows. Graphic repre- sentation of data points in composition rate for Student B revealed an improvement from 1.1 (SD = 0.4) wpm in the baseline to 3.6 (SD = 0.4) wpm with Co:Writer, to 2.9 wpm (SD = 0.7) with WordQ, and to 2.9 wpm (SD = 0.4) with WriteAssist. One hundred percent PND score supported this conclusion. Graphic representations for Students M and D suggested a slightly higher composition rate with the Write- Assist program. The mean lines increased from 1.04 wpm (SD = 0.1) to 2.2 wpm (SD = 0.4) for Student M and from 0.7 wpm (SD = 0.2) to 2.1 wpm (SD = 0.6) for Student D. Visual analysis for Students C, J, and R indicated a higher composition rate when writing with WordQ. Student C went from 1.5 wpm (SD = 0.7) to 2.5 (SD = 0.8); Student J from 1.4 wpm (SD = 0.1) to 3.6 wpm (SD = 0.9); Student R from 0.8 wpm (SD = 0.1) to 1.6 wpm (SD = 0.2). PND scores (80–100 percent) corroborated the effectiveness of WordQ software over other programs for these students. Addition- ally, for student R, CoWriter was associated with an increase from 0.8 wpm (SD = 0.1) to 1.4 wpm (SD = 0.9) and 100 percent PND score in composition rate.

The performance of Students M and D on the composition rate measure while using WordQ and CoWriter programs as well as the rate of Student J with CoWriter and WriteAssist and Student R with WriteAssist is characterized by minor and inconsistent changes (see Figure 3). Given such methodolog- ical issues as limited typing skills of the study participants discussed later, these results should only be viewed as in- conclusive. In addition, no changes in composition rate were observed for Student C while using WriteAssist and CoWriter programs.

Social Validity

Overall, all the students enjoyed the word prediction pro- grams and found them beneficial. They indicated that writing was much easier when they used word prediction. Student M noted that he did not have to write the whole word and the program would finish it for him. Another student mentioned that word prediction made him type words faster. One more example of the advantage of word prediction as reported by Student B was that it “helped find words and see if they were correct or not in order to use them.” In addition, Student C reported that word prediction made him think faster.

In regard to which program students found the most help- ful and enjoyable, four out of six students preferred WordQ to other programs, while the other two students liked Write- Assist and Co:Writer the most. Students who chose WordQ referred to it as the fastest and having “better words.” One student mentioned that “it was like telepathic,” because “the words came up” as you were just thinking about them. An- other student enjoyed that the program read the sentences “exactly as you read them.” Student C refused to use other

 

 

180 EVMENOVA ET AL.: WORD PREDICTION PROGRAMS

programs because they did not have as many voices as WordQ did. As for those students who did not prefer WordQ, they noted that constant speech-feedback was annoying and that the window although smaller “moved around to places where they did not want it.” Both of those problems were eliminated within program options as students expressed their opinions. The main problem with the WriteAssist program as reported by students was the big window that “did not move and cov- ered the words.” WriteAssist was found to have less word choices. In addition, the vocabulary was not appropriate for students since it offered “bad words” as reported by students and teachers. Co:Writer had more “technical glitches” within the software in comparison to other programs. Since the time of the study several glitches were addressed and solutions offered on the manufacturer’s website.

The teachers supported students’ opinions and preferred WordQ to the other word prediction programs. They com- mented it was the easiest to use while offering a large choice of features. WordQ’s four-button toolbar was “very straight forward” and simple to handle. Teachers noticed vocabulary issues with WriteAssist as it offered curse words. One teacher described it as the “most primitive of all.” In addition, one teacher with vision impairments noted that the WriteAssist program “would be hard to use with a screen enlarging pro- gram,” as the prediction window stays in the locked position on the screen as opposed to WordQ and the word window of Co:Writer. In turn, the Co:Writer program had “cleaner language” and had more features for students. However, it was also more difficult to use for younger students in this study and presented more technological difficulties.

DISCUSSION AND PRACTICAL IMPLICATIONS

The primary goal of this study was to explore the effects of various word prediction programs on students’ journal writing as compared to word processing. Consistent with previous research (Handley-More, 2003; MacArthur, 1998, 1999; Williams, 2002) the results of this study demonstrated the relative effectiveness of word prediction on various as- pects of the writing process for some students with writing difficulties as compared to word processing alone. Word pre- diction regardless of the software was effective in improving written spelling accuracy as measured by the proportion of words spelled correctly for all the participants. Writing per- formance increased in the total number of words for one student with each of the three programs and for the other five students with at least one of the programs. Composition rate noticeably improved for one student with each program, for four students with at least one of the programs, and did not visibly change for one of the participants.

The latter two measures need to be discussed considering one major limitation of this study. The proficiency in typing skills is essential to students’ success in word processing. Otherwise, the computer can be a frustrating and inefficient tool to use (MacArthur & Graham; 1987). While all parents reported students’ familiarity with the computer and word processor, the participants in this study were characterized by limited typing skills ranging from 6 to 10 words per minute. The existing research reports that students, particularly boys in third to sixth grades are able to handwrite 43–78 charac-

ters per minute, which is approximately eight to 15 words per minute (Chwirka, Gurney, & Burtner, 2002; Graham, 1999; Graham, Berninger, Weintraub, & Shafer, 1998; Rosenblum, Weiss, & Parush, 2003). If the participants in this study were able to type 6–10 words per minute, they were approach- ing the production consistent with handwriting speed at their grade level. However, the students’ typing skills were deter- mined based on the tests within the typing software, which overestimates the speed. Thus, possible weak keyboarding skills should be recognized when discussing the total num- ber of words and composition rate measures.

Overall, the improvements in the amount and the writing speed were less obvious than gains in spelling. Due to lim- ited typing skills and the nature of the changing conditions single- subject research design, these results should be inter- preted with great caution (Kennedy, 2005). The absence of a return to baseline prior to starting each new program alters the conclusions about functional relationships between word processing and each word prediction condition. However, this study presents unique information comparing different word prediction programs. External validity of this study is enhanced through replication across different participants and random assignment of students to a different order of program implementation (Horner et al., 2005).

Overall, regardless of the order in which it was intro- duced, three and four students performed relatively better with WordQ on the total number of words and composition rate, respectively. Student D demonstrated a greater num- ber of words and faster composition rate with WriteAssist. Student B’s performance improved similarly with all three word prediction programs, so the recommendation of one of them depended solely on his preferences. As far as the pro- portion of words spelled correctly, written spelling accuracy improved similarly for all of the students while using each of the three word prediction programs, thus demonstrating over- all effectiveness of word prediction over word processing.

Social validity of the goals, procedures, and effects were examined through student and teacher interviews. Both stu- dents and teachers enjoyed using word prediction programs and found them helpful for the writing process. All stu- dents benefited from word prediction features that supported their writing difficulties. For example, a student with fine motor/handwriting difficulties mentioned the ability to type faster with word prediction. Furthermore, a student who ex- perienced difficulties with putting his ideas on paper reported that word prediction made him “think faster.”

A majority of students and teachers preferred WordQ to the other two word prediction programs due to its extended and appropriate vocabulary and ease of use, despite the fact that WordQ’s intermediate vocabulary level had the least num- ber of words as compared to other two programs. It was interesting that several students referred to WordQ’s “tele- pathic” abilities, recognizing its contextual prediction. Al- though Co:Writer and WriteAssist also have similar features, WordQ predictions were identified as more precise by both students and teachers. One student who preferred WriteAs- sist performed better with that program on all dependent variables. The student who chose Co:Writer demonstrated equally significant improvements with all the programs, so following his preferences, Co:Writer was recommended as a word prediction program for him.

 

 

LEARNING DISABILITIES RESEARCH 181

Based on the results of this study, Co:Writer was reported as being more difficult to use due to the extensive number of features. This suggests that Co:Writer may be a better choice for older students who could use and benefit from those features. WriteAssist was the only program that offered users up to 30 choices in the prediction list. This program was also reported as having a more grown-up-oriented vocabulary, suggesting its greater value for adults, including those with physical disabilities. It is also important to note that a student with ADD considered the prediction window moving with a cursor annoying and distracting. So, it may be important to consider turning off such features in WordQ and Co:Writer with “word window” prediction. In addition, for students with autism spectrum tendencies a program with a larger selection of voices (WordQ) could be preferable.

When interpreting the results of this study, it is important to remember that the presented word prediction programs offer a number of extended features that can further enhance students’ writing (e.g., eWordBank in CoWriter and Topical Dictionaries in Co:Writer and WordQ). These features were not used in this study. This was the first attempt to investigate the rate of production and student preferences of three word prediction programs while controlling for any additional, ex- traneous characteristics. Thus, it is impossible to fully com- pare these three programs based on this study alone. More comprehensive evaluation of extended features conducted during a longer period of time is necessary in order to more thoroughly investigate each program’s effectiveness.

Limitations and Future Research

Unfortunately, interpretation of the findings from this study is clouded by a number of methodological issues. First of all, the keyboarding skills of participating students were quite weak at the beginning of the study. Participants were not retested on these skills at the end of the study, so it is im- possible to say how their typing speed prior to and following the study affected the results. Second, the short duration of the writing camp guided the number of journal writing ses- sions randomly assigned for each word prediction program. Thus, time also influenced the choice of the research design that excluded return to baseline, preventing the establishment of a stronger functional relationship between different word prediction programs and improvements in students’ journal writing. Furthermore, the length of the summer camp hin- dered the researchers’ ability to test maintenance and level of continuous improvement of students writing with a par- ticular word prediction program. Finally, the research setting at CompuWrite summer camp was different from a gen- eral education classroom where a majority of participants received special education services. Thus, generalization of the writing improvement with word prediction program was not assessed in a realistic school environment.

At the same time, this pilot study provided several areas for future research. First, the study could be replicated allow- ing longer periods of time for each word prediction program and employing different single-subject research designs (e.g., multiple baseline across participants) to establish stronger functional relationships between the writing improvement and each word prediction program. Second, it is important to replicate this study with participants with higher typing skills

to explore the true impact of word prediction on students’ writing. Third, it would be interesting to examine the effec- tiveness of different word prediction programs on other more meaningful writing activities that require editing in more nat- ural school settings. Such research may also focus on more extensive features of word prediction programs including pre- diction based on topic and genre. Last, a majority of research studies examining the effectiveness of word prediction are single-subject research studies (Siko et al., 2005). This may be explained by the specificity of word prediction programs that makes them appropriate for students with very specific abilities and needs. Such studies, including the present one, discourage interpretation and generalization of findings to a larger population. Group design experimental studies with a large number of participants would provide generalizable information on word prediction effectiveness.

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About the Authors

Anna S. Evmenova is an assistant professor of special education at George Mason University, Virginia. Her current research interests focus on assistive and instructional technology tools for providing academic content-based instruction to students with disabilities.

Heidi J. Graff, Ph.D., is the director of the Mason LIFE program at George Mason University. Her interests are post-secondary education for students with intellectual and developmental disabilities as well as technology tools for improved instruction in the general education setting.

Marci K. Jerome is an assistant professor, Department of Special Education, George Mason University. She earned her Ph.D. in Special Education in 2008 at George Mason University. Her current research interests include evaluating the effectiveness of assistive technology tools on student learning and distance education in special education teacher preparation.

Michael M. Behrmann is a professor of special education and the director of the Helen A. Kellar Institute for Human DisAbilities at George Mason University. He is a leader/innovator in special education and technology and his research interests include assistive technology, instructional design, universal design for learning and distance education.

 

 

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