Showing posts sorted by relevance for query beyond IQ. Sort by date Show all posts
Showing posts sorted by relevance for query beyond IQ. Sort by date Show all posts

Wednesday, January 02, 2008

Beyond IQ: A Model of Academic Competence and Motivation

As promised, and ahead of schedule, today I make available the results of over 5 years of work---Beyond IQ: A Model of Academic Competence and Motivation. The gist of the Beyond IQ project is simple - to present a preliminary conceptual framework from which to organize non-cognitive (conative) variables important for school learning...those essential student learning facilitators that are important above and beyond intelligence/cognitive ability.

The material can be accessed one of three ways (and you can switch between each navigation mode via the viewing options in the upper right-hand corner of the web pages).

If you want to navigate via a more traditional web-page expanding outline format, which is available on the left-hand side of the "Home" web page, start here.

If you want a linear "Table of Contents" outline navigation mode, start here.

If you love seeing the "big picture" all at once (using your Gv skills), start with my favorite, the clickable visual-graphic "Overview Map" mind map approach - click here.

Or mix and match navigational methods to meet your temporary whims.

Enjoy. I hope this work stimulates comments, responses, and more importantly, research focused on the development of a validated comprehensive model/framework of conative variables important for school learning (what I often like to call "essential student academic facilitators").

I will maintain a Beyond IQ category label term on the blog page which will allow readers to locate all Beyond IQ related articles with one click.

3-30-08 update. A set of PowerPoint slides that supplement the material at the Beyond IQ EWOK are now available via Slide Share. Click here.

Enjoy

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Saturday, January 07, 2012

Important American Psychologist "new IQ findings" article: Beyond IQ is important

The American Psychologist article below is an important "taking stock" article regarding intelligence as per a group of esteemed APA psychologists. It is a necessary follow up to a similar article by Neisser et al published in 1996. The review covers a wide array of critical issues re human intelligence and is recommended reading by all serious intelligence scholars as well as those who use intelligence tests. I found the stated importance of non-cognitive (conative) traits in predicting important outcomes, aside from or beyond IQ, particularly intriguing. I have reproduced select pages from the article that summarize this research. The conclusions are consistent with my repeated attempts to draw attention to Beyond IQ abilities, which I have articulated in the Model of Academic Motivation and Competence (MACM) framework. I am particularly pleased to see the focus on self-regulated learning abilities, a domain featured prominently in the MACM model. (double click on image to enlarge)


It is time that applied psychologists, particularly those working in educational settings, move Beyond IQ and start assessing and designing interventions for critical non-cognitive characteristics of learners. Interested readers can find more information in my Beyond IQ Series of posts. Click on images to enlarge for easier reading














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Monday, March 31, 2008

Beyond IQ Project: Power Point slides now available

Due to a number of requests, I've posted a set of PowerPoint slides that supplement the Beyond IQ: A Model of Academic Competence and Motivation (MACM) Evolving Web of Knowledge (EWOK). This presentation can be viewed on-line or downloaded for educational and training efforts.

Yes...intelligence is important. But a complete understanding of school learning requires a much larger "big picture" perspective that examines the amount and quality of instruction and, as summarized by the Beyond IQ Project, attention to important non-cognitive (aka., conative) learner characteristics.

The slides can be accessed either under the IQ's Corner Information and/or IQ's Corner PPT Slideshow sections of this blog (on the left-hand side of the home page).

All current Beyond IQ related blog posts can also be accessed via the Beyond IQ term under the Labels heading (same side of home page).

Enjoy

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Tuesday, December 16, 2008

Beyond IQ: Metacognition, self-regulation, self-regulated learning (JER special issue)

Beyond IQ. Readers of this blog should be aware that I firmly believe that in order to understand, explain, and improve educational outcomes for learners, a "bigger picture" approach is necessary. I call it the "Beyond IQ Project." In particular, I've repeatedly sounded the accolades of the late Richard Snow's work on aptitude. I've made many posts related to this notion of aptitude, which includes many constructs such as self-efficacy, motivation, self-regulated learning, etc. I've even proposed a model for integrating these "conative" constructs (Model of Academic Competence and Motivation--MACMM). Most of my posts can be found by clicking on the Beyond IQ tag. I have been encouraged to see serious scholars in the field of intelligence (ISIR members) paying increasing attention to these constructs as they attempt to explain intellectual performance.

Today I ran across yet another special issue of a journal devoted to a major domain of the MACMM model - self regulated learning ("What do I need to do to succeed?"). Below is the table of contents of the current issue of the Educational Psychology Review. It looks EXCELLENT. I can't wait to read the articles. I've made the special issue introduction article available for viewing. If any reader would like to read one (or more) of the articles (I would provide a copy of the pdf file), in exchange for a guest blog post summary to this bog, please contact the blogmaster (iapsych@charter.net)

Why This and Why Now? Introduction to the Special Issue on Metacognition, Self-Regulation, and Self-Regulated Learning - Patricia A. Alexander (click to view).

Metacognition and Self-Regulation in James, Piaget, and Vygotsky - Emily Fox and Michelle Riconscente

Focusing the Conceptual Lens on Metacognition, Self-regulation, and Self-regulated Learning - Daniel L. Dinsmore, Patricia A. Alexander and Sandra M. Loughlin

Self-Directed Learning in Problem-Based Learning and its Relationships with Self-Regulated Learning - Sofie M. M. Loyens, Joshua Magda and Remy M. J. P. Rikers

Self-Regulation of Learning within Computer-based Learning Environments: A Critical Analysis - Fielding I. Winters, Jeffrey A. Greene and Claudine M. Costich

The Role of Teacher Epistemic Cognition, Epistemic Beliefs, and Calibration in Instruction - Liliana Maggioni and Meghan M. Parkinson

Metacognition, Self-Regulation, and Self-Regulated Learning: Research Recommendations - Dale H. Schunk

Metacognition, Self Regulation, and Self-regulated Learning: A Rose by any other Name? - Susanne P. Lajoie

Clarifying Metacognition, Self-Regulation, and Self-Regulated Learning: What’s the Purpose? - Avi Kaplan

An Interview with Dale Schunk - Gonul Sakiz

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Tuesday, September 06, 2011

Beyond IQ Series #10: Introduction to academic interests and attitudes




Background comment regarding this series

Interest in social-emotional learning and resiliency training (click here and here for just two examples) in education has shown a recent uptick on activity. Given this activity, IQs Corner is starting a series to explain the previously articulated Model of Academic Competence and Motivation (MACM), which was a model ahead of it's time (IMHO). The imporance of non-cognitive (conative) characteristics in learning have been articulated since the days of Spearman, the father of the construct of general intelligence. Richard Snow's work on the concept of "aptitude," which integrates cognitive and conative individual difference variables, is the foundation of the Beyond IQ MACM. This material comes a larger set of materials on the web (click here).

Current MACM Series Installment

This 10th installment in the Beyond IQ series introduces the subdomain of interests and attitudes [All installments in this series (and other related posts and research) can be found by clicking here].

___________________________________________________________________

Circumscribing the constructs of academic interests, attitudes, and values is particularly difficult (Corno et al., 2002). As noted by Corno et al., values and attitudes are often classified as affective, interests as both motivational and affective, and beliefs as having both cognitive and volitional characteristics. Furthermore, values and career orientations are often discussed in the context of personality factors. For example, Holland (1973, 1985) developed a theory of personality based on the importance of 6 general career theme orientations (investigative, social, realistic, conventional, artistic, and enterprising).
In this document, I subscribe to Corno et al.’s (2002) decision to group these diverse domains together. Although Corno et al. (1996) included general values and career orientations in their aptitude taxonomy, they are dropped from the current taxonomy due to the paucity of evidence in support of their ability to predict academic or occupational outcomes (Cronbach, 1990).

(double click on image to enlarge)



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Sunday, December 30, 2007

Beyond IQ: Update on forthcoming MACM model (Jan 2 instead?)

Blogging on Peer-Reviewed Research
[Double click on image to enlarge]

Last week I announced the forthcoming "Beyond IQ: A Model of Academic Competence and Motivation (MACM) project post. To give a "hint" at the content and scope of this post regarding the MACM proposal, I'd like to draw readers attention to an excellent recent article by Byrnes and Miller (2007) in the journal Contemporary Educational Psychology.

My forthcoming MACM model post is concerned with addressing contemporary calls for a more comprehensive school learning aptitude model/framework. The "opportunity-propensity" model of school achievement of Byrnes and Miller is an excellent example of a similar (and more ambitious) attempt to provide a large heuristic framework (represented in the visual model above) from which to understand school learning. According to Byrnes and Miller, their model is grounded, in part, on the following:

  • "As any comprehensive handbook of educational research illustrates (e.g., Alexander & Winne, 2006), the field of educational psychology is subdivided into distinct research areas such as motivation, instruction, reading achievement, math achievement, and so on. Scholars who specialize in one of these areas tend not to specialize in others. In addition, researchers within each of these areas often focus on specific components of some predictor of achievement (e.g., motivational goals) to the exclusion of other components of that same predictor (e.g., motivational attributions), and also rarely include constructs from other research areas in their studies (e.g., domain-specific skills and aptitudes). Because the problem of student achievement is so complex, it makes sense that various subgroups of researchers would try to make this problem initially more tractable by examining individual or small sets of factors in their studies of achievement. Indeed, much has been learned about these aspects of achievement in the process. However, the continued tendency to focus on a limited number of predictors within each study of achievement has led to two related problems. One is that scientists and policy makers do not have a sense of how all of the various pieces of the achievement puzzle fit together. A second problem is that the relative importance of various predictors is still largely unknown because researchers have not typically included adequate controls in their studies." (p. 599- 600).
I couldn't agree more. The Byrnes and Miller model is an attempt, in the spirit of the "educational productivity" modeling work of Wahlberg and colleagues, to articulate a complete model of school learning.

My forthcoming MACM proposal is less ambitious and deals primarily with the non-cognitive ability portions of these larger models. In the Byrnes and Miller model, and in accordance with the spirit of the late Richard Snow, they refer to these learner characteristics as "propensities". As they stated in their article:

  • Propensity factors, in contrast, are any factors that relate to the ability or willingness to learn content once it has been exposed or presented in particular contexts. Thus, cognitive factors such as intelligence, aptitude, cognitive level, and pre-existing skills would qualify, as would motivational factors such as interest, self-efficacy, values, and competence perceptions (Byrnes, 2003; Corno et al., 2002; Eccles, Wigfield, & Schiefele, 1998; Jones & Byrnes, 2006; Sternberg, Grigorenko, & Bundy, 2001). Self-regulation is a hybrid of cognitive (e.g., beliefs) and motivational (e.g., efficacy) orientations (Pintrich, 2000), so it would also qualify as a propensity factor. We further assume that when the opportunity and propensity conditions are fulfilled in an individual (i.e., they have been exposed to content in an effective manner and were willing and able to take advantage of this learning opportunity), higher achievement will follow directly. As a result, opportunity factors and propensity factors are considered to be proximal causes of achievement.
Stay tuned. I may "move up" the date of the launch of the Beyond IQ" A Model of Academic Competence and Motivation" to January 2nd.


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Thursday, August 25, 2011

Beyond IQ Series # 7: Academic motivation defined and learning implications




Background comment regarding this series

Interest in social-emotional learning and resiliency training (click here and here for just two examples) in education has shown a recent uptick on activity. Given this activity, IQs Corner is starting a series to explain the previously articulated Model of Academic Competence and Motivation (MACM), which was a model ahead of it's time (IMHO). The imporance of non-cognitive (conative) characteristics in learning have been articulated since the days of Spearman, the father of the construct of general intelligence. Richard Snow's work on the concept of "aptitude," which integrates cognitive and conative individual difference variables, is the foundation of the Beyond IQ MACM. Non-cognitive (cognitive) characteristics of learners are important for learning and are more manipulable (more likely to be modified via intervention) than intelligence. Thus, the MACM components make sense as potential levers for improving school learning and pursuing more well rounded life-long learners. This material comes a larger set of materials on the web (click here).

Current MACM Series Installment

This seventh installment in the Beyond IQ series provides a definition of academic motivation and general learning implications. [All installments in this series (and other related posts and research) can be found by clicking here].

___________________________________________________________________


Academic Motivation: Definition and Conceptual Background

Academic motivation is a person’s desire (as reflected in approach, persistence, and level of interest) regarding academic subjects when competence is judged against a standard of performance or excellence.

Academic motivation is a student’s desire (as reflected in approach, persistence, and level of interest) regarding academic subjects when the student’s competence is judged against a standard of performance or excellence (DiPerna & Elliott, 1999; McClelland, 1961; Wigfield & Eccles, 2002). Academic motivation is a subtype of the general construct of effectance motivation, which is defined as the “need” to be successful or effective in dealing with ones environment (Gresham, 1988).


Academic Motivation: Implications

Although much has been written about academic motivation (and its conceptual grandfather/mother—Need for Achievement), until recently little long-term developmental research had been conducted (Covington & Dray, 2002). Longitudinal research helps to answer the question of “which factors, singly and in combination, influence the willingness to learn for its own sake, and whether these factors change in number and saliency as individuals move from one level of schooling to another throughout their educational careers” (Covington & Dray, 2002, p. 34). A review of the relevant literature (Gresham, 1988, 1987; Reschly, 1987; Rivera et al., 1988; Wigfield and Eccles, 2002) suggests that:

Most students begin school with a global sense of competence and interest/motivation in learning. As early as first grade, students begin developing a more differentiated and complex set of goals, values, and beliefs that influence their academic achievement motivation. Children, in general, do not come to school lacking academic motivation.

A student’s motivation changes across the school years. Although most young students enter school with an optimistic view of their personal abilities, and are generally positively motivated to learn, academic achievement motivation decreases over time due to child- specific and school environment changes. For most students this change is normative and not problematic. However, students “at risk” for, or actually experiencing frustration with learning (e.g., students with disabilities), are at greater risk for decreased academic motivation. For example, Gresham (1997) concluded that “the effects of repeatedly failed mastery attempts are increased dependence on external approval, a perceived lack of competence of self-esteem, anxiety in mastery situations, and decrements in effectance motivation. By the time a learner with learning disabilities is identified and labeled, he or she has a well- established pattern of responding to mastery situations”(p. 288). The consequences of decreased academic achievement (effectance) motivation can result in a variety of nonproductive behaviors (e.g., noncompliance on new tasks, self-doubt, dependency on others, loss of interest). Researchers have also demonstrated that a lack of motivation plays a critical role in the achievement of students with learning disabilities. According to Reschly (1987), “there is considerable agreement, supported by reasonably strong, but not definitive, evidence, that mildly retarded persons are more subject to failure- set phenomena (involving reduced motivation and less efficient learning even on simple tasks subsequent to experiencing failures…” (p. 43)

A student’s motivation and behavior become more closely linked with age. As students mature, the goals they set and their academic-related beliefs and values begin to mesh with their actual performance—they become more reality-based. Questions still remain regarding the direction (unidirectional or bi-directional/reciprocal) of the “cause” of this change. Nevertheless, it is clear that a student’s academic motivation and actual academic performance cannot be treated separately.


Utilization of evaluative feedback improves with age. As students move through school they develop more accurate and sophisticated understandings of the evaluative feedback received from their educational environment. Concurrently, the environmental feedback changes as reflected by transitions to letter grades, differentiated group instruction, and more frequent standardized testing. A student’s greater sensitivity (with increasing age) to direct and indirect sources of performance feedback can influence a student’s motivations in a number of positive and/or negative ways.


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Saturday, May 21, 2011

Beyond IQ (aka Forrest Gump effect): Why there is more to academic achievement than IQ?

This article is an excellent overview of the importance of non-cognitive traits in understanding academic achievement. I have long believed that Richard Snow's work on trait complexes and aptitude has too long been ignored in assessment practice, as well as the PPIK trait complex work of Ackerman. Human behavior is multivariate and complex....there is a serious need to move Beyond IQ.

Click on image to enlarge. Additional comments and links to other sources are embedded in annotated article as per IQs Reading feature.




Below is model of personal competence from article referenced (with link) in PDF of article.



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Wednesday, August 24, 2011

Beyond IQ Series # 6: Achievement Goal Orientation: Definition and learning implications




Background comment regarding this series

Interest in social-emotional learning and resiliency training (click here and here for just two examples) in education has shown a recent uptick on activity. Given this activity, IQs Corner is starting a series to explain the previously articulated Model of Academic Competence and Motivation (MACM), which was a model ahead of it's time (IMHO). The imporance of non-cognitive (conative) characteristics in learning have been articulated since the days of Spearman, the father of the construct of general intelligence. Richard Snow's work on the concept of "aptitude," which integrates cognitive and conative individual difference variables, is the foundation of the Beyond IQ MACM. Non-cognitive (cognitive) characteristics of learners are important for learning and are more manipulable (more likely to be modified via intervention) than intelligence. Thus, the MACM components make sense as potential levers for improving school learning and pursuing more well rounded life-long learners. This material comes a larger set of materials on the web (click here).

Current MACM Series Installment

This sixth installment in the Beyond IQ series provides a definition and learning implications of goal orientation, a subdomain under motivation orientation in the MACM model. . [All installments in this series (and other related posts and research) can be found by clicking here].

___________________________________________________________________


Achievement Goal Setting: Definition and Conceptual Background

A person’s set of beliefs that reflect the reasons why they approach and engage in academic and learning tasks. A performance goal orientation is exemplified by a concern for personal ability, a normative social comparison with others, preoccupation with the perception of others, a desire for public recognition for performance, and a need to avoid looking incompetent. A learning goal orientation reflects a focus on task completion and understanding, learning, mastery, solving problems, and developing new skills.

Academic goal orientation is based on contemporary “goal-as-motives” theory where it is posited that “all actions are given meaning, direction, and purpose by the goals that individuals seek out, and that the quality and intensity of behavior will change as these goals change” (Covington, 2000, p. 174). Achievement goal theory is particularly important in education as it is believed that by differentially reinforcing some goals (and not others), teachers can influence (change) the reasons why students learn—that is, change their motivation (Covington, 2000).

Different groups of researchers have converged on strikingly similar findings regarding the importance of academic goal orientation for academic success (Snow et al., 1996). The resultant achievement goal theory has received considerable attention during the past decade (Eccles & Wigfield, 2002; Linnenbrink & Pintrich, 2002b). Goal theory focuses on the role that “purpose” plays in motivation attitudes and behavior (Anderman & Maehr, 1994; Eccles &Wigfield, 2002; Maehr, 1999; Snow et al., 1996; Urdan & Maehr, 1995). Goal orientation focuses on the student’s reasons for taking a course or wanting a specific grade (Anderman et al., 2002). In this document, academic goal orientation is defined as an individual’s set of beliefs that reflect the reasons why they approach and engage in academic tasks (Eccles & Wigfield, 2002; Linnenbrink & Pintrich, 2002a; Pintrich, 2000b; Skaalvik & Skaalvik, 2002; Wentzel, 1999).

Although the specific terminology may differ amongst researchers, goal theory typically proposes two general goal orientations (Covington, 2000; Linnenbrink & Pintrich, 2002a). Nicholls and colleagues (e.g., Nicholls, Cobb, Yackel, & Wood, 1990) classify goals as either ego- or task- involved (Eccles & Wigfield, 2002). Dweck and colleagues (see Dweck, 1999) distinguish between performance (such as ego-involved goals) and learning goals (such as task-involved goals). Ames (1992) refers to performance and mastery goals. A performance goal orientation is characterized by self-questions such as “Will I look smart?” and/or “Can I out- perform others?” which reflect a concern for personal ability, a normative social comparison with others, preoccupation with the perception of others, a desire for public recognition for performance, a need to avoid looking incompetent, and “outperforming others as a means to aggrandize one’s ability status at the expense of peers”(Covington, 2000, p. 174). In contrast, a student with a learning goal orientation would more likely ask the questions “How can I do this task?” and “What will I learn?” The learning goal orientation reflects a focus on task completion and understanding, learning, mastery, solving problems, developing new skills, and an appreciation for what one learns (Covington, 2000; Eccles & Wigfield, 2002; Linnenbrink & Pintrich, 2002b; Skaalvik & Skaalvik, 2002).


Achievement Goal Setting: Learning Implications

Locke and Latham’s (2002) review of the goal-setting research suggest the following implications: (See Locke and Latham (2002) for theoretical models that describe the hypothesized relations between assigned goals, self- set goals, self-efficacy, and performance, and the essential elements of Goal-Setting Theory and a “high performance cycle.”)

Specific and difficult goals lead to higher performance than do simple admonitions to students to “do their best.” Research suggests that “do-your-best” goals have “no external referent and thus are defined idiosyncratically. This allows for a wide range of acceptable performance levels, which is not the case when a goal level is specified” (Locke & Latham, 2002, p. 706).

Goal setting is a key variable in self-regulated learning.

The goals set, or endorsed by a student, are hypothesized to play an important role in the student’s subsequent satisfaction or dissatisfaction vis-à-vis the provision of a criterion point for the performance standard.

Specific academic goals are a necessary but insufficient condition for maintaining effort. Students need formative and summative feedback on their progress toward goals. Consistent feedback allows students the opportunity to adjust their strategies and/or the direction or level of their effort
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Wednesday, August 27, 2008

Beyond IQ: Social emotional learning and Beyond IQ project

The other day SharpBrains had a post on the importance of social-emotional learning in school learning. This post is consistent with the thrust of the Beyond IQ (A model of academic competence and motivation) project I've previously posted. Clearly there is more to intelligent "performance" than just intelligence.

Wednesday, August 17, 2011

Beyond IQ series: An overview of the Model of Academic Competence and Motivation (MACM)




Interest in social-emotional learning and resiliency training (click here and here for just two examples) in education has shown a recent uptick on activity. Given this activity, IQs Corner is starting a series to explain the previously articulated Model of Academic Competence and Motivation (MACM), which was a model ahead of it's time (IMHO).

The imporance of non-cognitive (conative) characteristics in learning have been articulated since the days of Spearman, the father of the construct of general intelligence. Richard Snow's work on the concept of "aptitude," which integrates cognitive and conative individual difference variables, is the foundation of the Beyond IQ MACM. Non-cognitive (cognitive) characteristics of learners are important for learning and are more manipulable (more likely to be modified via intervention) than intelligence. Thus, the MACM components make sense as potential levers for improving school learning and pursuing more well rounded life-long learners.

This material comes a larger set of materials on the web (click here).

This current (first) installment in the Beyond IQ series provides an overview of the MACM framework. All installments in this series (and other related posts and research) can be found by clicking here.

___________________________________________________________________

Overview of MACM framework

Although a variety of models of school learning have been articulated (see Haertel et al., 1983, for a review), it is only recently that a model with sufficient breadth and depth has emerged with the potential to serve as a “bridging” mechanism between educational and psychological theory/research and educational practice. Based on a systematic program of educational research, the integration of the extant literature (which included a review of four existing taxonomies; Snow, 1973), and an emphasis on the relatively stable constructs causally related to educational performance, Richard Snow ventured a provisional taxonomy (Corno et al., 2002; Snow, Corno & Jackson, 1996).

The figure below presents a proposed and adapted version of the Snow Academic Aptitude Model (SAAM). Although the broad strokes of the SAAM are drawn primarily from the writings of Snow and colleagues, based on a contemporary literature review, it was found necessary to modify portions of the model and/or the model’s terminology. For example, Corno et al. (2002) describe and present learning orientation under the sub-domain of motivational orientation. Most contemporary motivation research refers to this construct as academic goal orientation (see Anderman, Austin & Johnson, 2002). In this adapted and extended model the more contemporary achievement goal orientation terminology is used. Where necessary and appropriate, modifications are made to the original SAAM terminology to reflect contemporary research and writings.

(double click on image to enlarger click here)


In addition, a contemporary literature review uncovered specific behaviors and/or skills not included in the broad-stroke SAAM. These “newcomer” domains were logically placed under the SAAM category that appeared most appropriate. For example, relatively new research surrounding the construct domain of thinking dispositions (Perkins, Tishman, Ritchhart, Donis & Andrade, 2000) is related to a learner’s ability conception (Dweck, 2002).

The meaning of the MACM variables presented in the figure are amplified by the four categories of questions proposed by Wigfield and Eccles (2002).

Do I (does she/he) want to do this activity and why? Learner characteristics related to this question include, but are not limited to, achievement interests and values, intrinsic motivation, academic goal orientation, and social goals and their relations to motivation. Obviously, learners who have repeated consistent school failure would, as a group, be predicted to respond in the negative to this question.

Can I (he/she) do this activity? When pondering this question, learners reflect on a number of motivational self-beliefs (e.g., self- confidence, academic self- concept, academic self- efficacy) that have dominated social cognitive models of motivation research the past three decades. Although germane to all learners, this question is particularly salient for learners who have experienced repeated academic failure (e.g., learners with disabilities, disadvantaged learners).

What do I (does she/he) need to do to succeed? High motivation and positive self-beliefs are necessary but insufficient conditions for succeeding in educational environments. A bridge must link cognitive/academic abilities and motivation with actual behavior. The primary link is the presence of self-regulated learning strategies (e.g., study skills, cognitive and learning strategies, engagement, adaptive help-seeking) that allow individuals to manage efforts to accomplish their goal.

How do I (does he/she) need to behave towards others to succeed? Traditionally U.S. schools have valued student characteristics such as citizenship, conformity to social rules and norms, cooperation, and positive social behavior (Wentzel, 1993). The learner who does not know how (or who lacks the appropriate skills) to behave appropriately and responsibly is at increased risk for academic failure.


Finally, the recent version of the SAAM makes little mention of the domain of social ability, an ability that was touched on in earlier articulations of the SAAM (under the category of orientation towards others). As noted by Snow et al. (1996), psychologists have historically displayed a strong interest in the construct of social intelligence, which is typically defined as the ability to act wisely in interpersonal relations and being sensitive towards others (Thorndike, 1920). Educators and researchers have consistently demonstrated the importance of prosocial behavior and social skills to learner success (O'Sullivan & Guilford, 1975; Wentzel, 1989).

Social ability has two primary dimensions: “the ability to decode social information, including the ability to understand nonverbal cues and make accurate social inferences, and the ability to behave adaptively and effectively in social situations” (Snow et al., 1996, p. 278). These two dimensions roughly correspond to the cognitive (internal mental processes) and behavioral (observable behaviors) components of social functioning. As presented in the model, a cognitive-behavioral social ability distinction is made in the model.

Stay tuned......more to come...

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Tuesday, August 23, 2011

Beyond IQ Series # 5. Motivational orientation--Do I want to do this activity and why?




Background comment regarding this series

Interest in social-emotional learning and resiliency training (click here and here for just two examples) in education has shown a recent uptick on activity. Given this activity, IQs Corner is starting a series to explain the previously articulated Model of Academic Competence and Motivation (MACM), which was a model ahead of it's time (IMHO). The imporance of non-cognitive (conative) characteristics in learning have been articulated since the days of Spearman, the father of the construct of general intelligence. Richard Snow's work on the concept of "aptitude," which integrates cognitive and conative individual difference variables, is the foundation of the Beyond IQ MACM. Non-cognitive (cognitive) characteristics of learners are important for learning and are more manipulable (more likely to be modified via intervention) than intelligence. Thus, the MACM components make sense as potential levers for improving school learning and pursuing more well rounded life-long learners. This material comes a larger set of materials on the web (click here).

Current MACM Series Installment

This fifth installment in the Beyond IQ covers the broad MACM domain of Motivational Orientattion. [All installments in this series (and other related posts and research) can be found by clicking here].

___________________________________________________________________



Do I want to do this activity and why? Motivational Orientation

Student characteristics related to this question include, but are not limited to, achievement interests and values, intrinsic motivation, academic goal orientation, and social goals and their relations to motivation. Obviously, students who experience repeated and consistent school failure would, as a group, be predicted to respond in the negative to this question.


Motivational Orientation: The Social Cognitive Model

There is little doubt that the constructs of cognitive ability (intelligence) and motivation are the most commonly mentioned and researched determinants of school learning (Gagne & StPere, 2002; Linnenbrink & Pintrich, 2002b). The “common belief within the general population is that both factors exert approximately equal causal influences on talent development” (Gagne & StPere, 2002, p. 71). Research generally supports the importance of motivation in academic achievement (DiPerna & Elliott, 2000; Stinnett, Oehler- Stinnet, & Stout, 1991). Although meta-analysis research has not supported the equal stature of both constructs, an average correlation of 0.34 has been reported between various indices of motivation and school learning (Parkerson, Lomax, Schiller, & Walberg, 1984). Thus, although not as powerful a predictor as cognitive ability (IQ), motivation is an important causal contributor to academic success.

Most contemporary research regarding the construct of motivation is based on a social cognitive model (Covington, 2000; Eccles & Wigfield, 2002). Contemporary motivation models differ from the traditional and layperson view of motivation where students are classified as either motivated or not, or where motivation is viewed as a single continuum. Motivation is currently viewed as a multifaceted dynamic phenomenon where “learners can be motivated in multiple ways and that it is important to understand the how and why of learner motivation. This change in focus implies that educators should not label learners as ‘motivated’ or ‘not motivated’ in some global fashion” (Linnenbrink & Pintrich, 2002b, p. 313).

According to the social cognitive model, motivation is not necessarily a stable trait of an individual and may vary as a function of the setting (e.g., prevailing classroom reward structures) (Covington, 2000) and specific subject matter domain (Bong, 2001). Also, understanding a student’s motivation requires knowing more than descriptive characteristics of the student (e.g., personality characteristics or cultural demographics) or the student’s specific contextual environments. Understanding an individual’s motivation requires a recognition and understanding of “the individual's active regulation of his or her motivation, thinking, and behavior that mediates the relationships between the person, context, and eventual achievement” (Linnenbrink &Pintrich, 2002b, p. 314). In other words, understanding a student’s motivation requires an attempt to peer into the “black box” of a student’s mind to understand their “thinking” about the what, where, why, and how of goal attainment. The interaction of social and academic motivation goals is addressed in the orientations towards others section of this paper. Clearly, contemporary social cognitive motivation models differ dramatically from earlier models of motivation that focused on drives and reinforcement (Covington, 2000; Wigfield & Eccles, 2002).

The Multiplicity of Goals

Contemporary motivation research suggests that students often try to achieve multiple goals that can be differentiated by content, or, the “cognitive representation of what it is that an individual is trying to achieve in a given situation” (Wentzel, 1999, p. 77). Ford (1992) delineated 3 general categories of individual goals—task goals, self-assertive social relationship goals, and integrative social relationship goals. According to Ford (1992), task goals are of five major types:

Mastery – trying to meet a challenging standard of achievement or improvement.
Task creativity – engaging in activities that invoke artistic expression or creativity.
Management – maintaining a productive and organized structure and order in daily life tasks.
Material gain – increasing the amount of material/tangible goods (or money) one has.
Safety – seeking an environment where one is secure, free from risk, and free from harm.


Goal Hierarchies

Not only may students have multiple goals, different students may have different implicit or explicit goal hierarchies (Bandura & Schunk, 1981; Wentzel, 1999). Bandura and Schunk (1981) suggested that, in the academic domain, the setting and linking of explicit near-term (proximal) sub-goals to larger long-term (distal) goals can produce greater task persistence, enhanced self- efficacy, and increased intrinsic interest in learning. It is hypothesized that students who perceive their present academic-related behavior as linked to long-term goals and objectives (indicating a linked hierarchical goal structure) tend to display more positive motivational and academic outcomes than students who do not maintain a positive future- oriented goal perspective (Wentzel, 1999). Hierarchical belief and goal systems appear important for sustaining (or undermining if not present) academic performance over time.

Key Families of Motivational Beliefs

No less than 13 different types of achievement-oriented beliefs, values, and characteristics are listed collectively under the 3 subdomains of Motivational Orientation, Interests and Attitudes, and Self-Beliefs. A variety of theorists have proposed similar, yet different, models of achievement motivation. For example, Linnenbrink and Pintrich (2002a) suggest that there are 4 key families of motivational beliefs—self-efficacy, attributions, intrinsic motivation, and goal orientations. According to Wigfield and Eccles (2002), the proliferation of slightly different models has resulted in a “proliferation of terms for constructs that on the surface are relatively similar. The clearest examples of this are the variety of related-to perceptions of ability and self- efficacy, and the variety of terms for different goal orientations” (Wigfield and Eccles, 2002, p. 4). The constructs listed under the broad umbrella of orientations towards self (motivations) represent my best (and acknowledged imperfect) attempt to provide a reasonable summary of this broad MACM domain. (double click on image to enlarge)



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Thursday, February 05, 2009

The "intelligent" economic stimulus: IQs Corner ads


The "intelligent" economic stimulus - advertise at IQ's Corner!

Over the past 1+ year I've offered ad space on my blog at bargain rates. At various times I've had 2-3 wise companies utilize this service. Why do I offer ads at this professional blog?

Simple. I LOVE blogging. IQs Corner (and now the sister blog...Tic Toc Talk: The IQ Brain Clock) are real labors of love..and are, more-or-less, hobbies. However, I'm not able to spend as much time as I would like with my blogs. If I had the time I could be posting considerable more material and could add new features. However, blogging comes at the expense of other work, projects, contracts, etc....all that pay the bills. Long story short---If this blog could generate a little "ching" in my pocket, I could then rationalize stealing time from other activities and do more. In return, advertisers would be receiving a bargain...at a top-notch recognized blog (see data below).

The current rate is a bargain (I will send you the information upon request). In the spirit of recovery for our economy, I'm keeping 2009 ad rates at the same rates used during 2008. If you are someone (or an organization) and want to make me a "creative proposal" (multiple ads; more than six months)...then fire away. Contact me at email address provided at the end of this post.

Why should anyone consider advertising on this blog?

A few random pieces of data below:
  • You can't beat the rates. [Or, make me an offer I can't refuse]
  • IQs Corner was mentioned in Scientific American:Mind - and this was quite a while ago, before its web footprint became larger.
  • Your investment should reach a group of readers who are interested in staying abreast of contemporary research in intelligence theories, intelligence testing, educational psychology, school psychology, neuropsychology, special education, and general psychological and educational theory and assessment. As of today, since its birth, IQs Corner's (as reflected by the hit counter) has had almost 1/4 million unique visitors (230,305) and over 400,000 page views (404,774)
  • You would help a great guy keep his hobby going :)

The placement of an ad does not imply endorsement of the advertising company or products by Kevin McGrew, the Institute for Applied Psychometrics, or IQs Corner Blog. It is just a way to try keep this blog hobby viable.


Web footprint: Presence on FIRST page of Google searches

I conducted a number of Google searches on 1-25-09 using the following variety of search terms. Click on each term to see the search results. As you will see, IQ's Corner Blog (this blog), my primary web page (IAP), or IQ's Corner sister blog (IQ Brain Clock) most often showed up on the FIRST page of Google results returned...sometimes the second page. As we know, most people only pay attention to the results of the first page (and sometimes second) from Google searches. Clearly this humble little blog does pop up when people interested in intelligence theory, research, testing, and related topics do searches for information:
Email contact: iapsych@charter.net

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Saturday, September 03, 2011

Beyond IQ Series #9. Definition and learning implications of intrinsic motivation




Background comment regarding this series

Interest in social-emotional learning and resiliency training (click here and here for just two examples) in education has shown a recent uptick on activity. Given this activity, IQs Corner is starting a series to explain the previously articulated Model of Academic Competence and Motivation (MACM), which was a model ahead of it's time (IMHO). The imporance of non-cognitive (conative) characteristics in learning have been articulated since the days of Spearman, the father of the construct of general intelligence. Richard Snow's work on the concept of "aptitude," which integrates cognitive and conative individual difference variables, is the foundation of the Beyond IQ MACM. Non-cognitive (cognitive) characteristics of learners are important for learning and are more manipulable (more likely to be modified via intervention) than intelligence. Thus, the MACM components make sense as potential levers for improving school learning and pursuing more well rounded life-long learners. This material comes a larger set of materials on the web (click here).

Current MACM Series Installment

This ninth installment in the Beyond IQ series addresses intrinsic motivation [All installments in this series (and other related posts and research) can be found by clicking here].

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Intrinsic Motivation: Definition and Conceptual Background

When a person engages in an activity because they are interested in and enjoy the activity (e.g., they perform the activity for the sake of doing it—for the enjoyment, fun orpleasure) and not because the activity will produce a reward or result in the avoidance of a negative consequence.

Intrinsic motivation describes an individual who engages in an activity because they are interested in and enjoy the activity (e.g., they perform the activity for the sake of doing it—for the enjoyment, fun, or pleasure) and not because the activity will produce a reward or result in the avoidance of a negative consequence (Eccles & Wigfield, 2002; Grolnick, Gurland, Jacob, & Decourcey, 2002; Linnenbrink & Pintrich, 2002a; Snow et al., 1996; Standage, Duda, & Ntoumanis, 2003). The converse (extrinsic motivation) is present when an individual engages in an activity for other (e.g., reward) or instrumental reasons (e.g., means to an end). Intrinsic motivation “energizes important growth- fostering behaviors, such as seeking out challenges, exercising skills, and pursuing one’s interests (Deci & Ryan, 1985)” (Reeve, Nix, & Hamm, 2003, p. 375). As such, intrinsic motivation is frequently mentioned as a causal contributor to self-determination. High intrinsic motivation orientation is often considered as an indicator of the highest levels of self- determination (d'Ailly, 2003; Reeve et al., 2003; Standage et al., 2003).

Early motivation research suggested that intrinsic motivation was not trait-like in nature, but rather, was situation-specific and alterable (Harter, 1981). This “state” interpretation of intrinsic motivation suggests that a student’s intrinsic motivation is amenable to environmental manipulation. Researchers are now treating intrinsic motivation as less of a situation-specific state and more of a trait-like characteristic (Eccles & Wigfield, 2002). The highly correlated components of the trait-intrinsic motivation (as would be described in an academic context) are: (a) academic learning driven by curiosity and interest; (b) a preference for hard or challenging academic tasks; and (c) a striving for competence and independent mastery (Eccles & Wigfield, 2002; Harter, 1981; Newman, 2000). Of the 3 characteristics, the first (curiosity- driven learning) is the core concept of intrinsic motivation.

Intrinsic Motivation: Learning Implications

The intrinsic motivation literature (Covington & Dray, 2002; Eccles & Wigfield, 2002; Gresham &Elliott, 1984; Grolnick et al., 2002; Newman, 2000; Wehmeyer, 1996; Wehmeyer, 1999) suggests the following general implications:

Intrinsic motivation has been argued to be of particular salience for students with disabilities given that, historically, the special education delivery service model has been grounded primarily in efforts to identify and remediate student deficits.

High levels of trait-like intrinsic motivation have been associated with a variety of positive student behaviors and educational outcomes. It is hypothesized that high intrinsic motivation helps students care about their learning, which subsequently increases their striving towards high achievement. High intrinsic motivation has also been associated with positive emotional experiences, higher levels of cognitive engagement, lower levels of anxiety, higher perceptions of competence, and a higher use of a variety of positive self- regulatory behaviors (e.g., adaptive help-seeking, learning strategies, meta-cognitive strategies). Clearly, students low in intrinsic motivation are at risk for educational failure.

According to stage-environment fit theory, when students enter a developmental stage characterized by a greater need for autonomy (e.g., pre-adolescence), the typical educational environment actually reduces opportunities for self-initiated behavior and independent thinking vis-à-vis a greater emphasis on external (e.g., teacher) control. The result can be a reduction in subject matter interest and intrinsic motivation. A logical extension is that education/learning environments should strive to provide the best possible “fit” between a student's learning environment and their developmental and level of intrinsic motivation.

According to stage-environment fit theory and research, the use of normative grading (an emphasis on tangible rewards that are limited in quantity), during a time when a student is entering a stage characterized by a need for autonomy, may produce increased social comparison and feelings of competitiveness. The net result is a hypothesized reduction in intrinsic motivation.

Absolute evaluation or grading standards, which increase the explicit link between degree of expended effort and achievement rewards, tend to increase a student’s sense of intrinsic motivation. Merit-based grading systems are postulated to be more desirable when a student transitions into a stage characterized by the need for more autonomy and independence.

Additional learning environment characteristics associated with higher levels of intrinsic motivation include (Grolnick et al., 2002):

Learning tasks should be optimally challenging—“just above the current level of ability” (Grolnick, 2002, p. 155).
Learning should minimize excessive use of “rewards” which tend to shift the focus from an internal to external cause of behavior.

Learning environments that provide for autonomy, involvement, and support in a non-controlling manner (in contrast to an environment with strong external controls) are associated with students who display greater intrinsic motivation, which in turn influences the development of more self-regulated learning via internalization.


Learning environments should minimize external (adult) pressure to behave in particular ways and to solve problems for others (e.g., for teacher, mom, or dad). A focus on helping students to solve problems and tasks for themselves (with support) is more desirable. Students should not be motivated to perform out of sense of obligation or coercion (Wehmeyer, 1992).


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