Handbook of psychology volume 7 educational psychology
Metacognition and Learning
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- Motivation and Classroom Learning
- MOTIVATIONAL THEORIES AND STUDENT OUTCOMES
- The Role of Motivational Components in Classroom Learning 105
- THE ROLE OF MOTIVATIONAL COMPONENTS IN CLASSROOM LEARNING
- Expectancy Components
- Control Beliefs
102 Metacognition and Learning Winograd, P., & Gaskins, R. W. (1992). Metacognition: Matters of the mind, matters of the heart. In A. L. Costa, J. Bellanca, & R. Fogarty (Eds.), If minds matter: A foreward to the future (Vol. 1, pp. 225–238). Palatine, IL: Skylight. Winograd, P., & Johnston, P. (1982). Comprehension monitoring and the error detection paradigm. Journal of Reading Behavior,
Yussen, S. R. (1985). The role of metacognition in contempo- rary theories of cognitive development. In D. L. Forrest-Pressley, G. E. MacKinnon, & T. G. Waller (Eds.), Metacognition, cognition, and human performance (pp. 253–283). New York: Academic Press. Zabrucky, K., & Ratner, H. H. (1986). Children’s comprehension monitoring and recall of inconsistent stories. Child Develop- ment, 57, 1401–1418. Zabrucky, K., & Ratner, H. H. (1989). Effects of reading ability on children’s comprehension evaluation and regulation. Journal of
Zabrucky, K., & Ratner, H. H. (1992). Effects of passage type on comprehension monitoring and recall in good and poor readers.
Zimmerman, B. J. (1995). Self-regulation involves more than metacognition: A social cognitive perspective. Educational
Zimmerman, B. J., & Risemberg, R. (1997). Becoming a self- regulated writer: A social cognitive perspective. Contemporary
Zohar, A. (1999). Teachers’ metacognitive knowledge and the in- struction of higher order thinking. Teaching and Teacher Educa-
CHAPTER 6 Motivation and Classroom Learning PAUL R. PINTRICH 103 MOTIVATIONAL THEORIES AND STUDENT OUTCOMES 104
THE ROLE OF MOTIVATIONAL COMPONENTS IN CLASSROOM LEARNING 105
CONCLUSION AND FUTURE DIRECTIONS FOR RESEARCH 117
REFERENCES 118
Classroom learning is often discussed solely in terms of cog- nition and the various cognitive and metacognitive processes that are involved when students learn in academic settings. In fact, in a key chapter on learning, remembering, and under- standing in the Handbook of Child Psychology, Brown, Bransford, Ferrara, and Campione (1983) noted Bleak though it may sound, academic cognition is relatively ef- fortful, isolated, and cold. . . . Academic cognition is cold, in that the principal concern is with the knowledge and strategies neces- sary for efficiency, with little emphasis placed on the emotional factors that might promote or impede that efficiency. (p. 78) This quote in the most important and influential handbook on child development reflects the state of the field in the early 1980s. Most of the models and research on academic cogni- tion did not address issues of motivation or emotion and how these factors might facilitate or constrain cognition and learn- ing. Basically, motivation was irrelevant to these cold models of cognition as they concentrated on the role of prior knowl- edge and strategies in cognition and learning. At the same time, most motivational research in general— and within educational psychology specifically—did not in- vestigate the linkages between motivational beliefs and academic cognition. Motivational research was focused on examining performance, which often was operationalized in terms of experimental tasks such as performance on anagram tasks or other lab tasks that were knowledge-lean and did not really reflect school learning tasks. In addition, motivational research was concerned with the classroom factors that pre- dicted student motivation and achievement, but achievement was usually operationalized as course grades, performance on classroom tests, or performance on standardized achievement tests. The research did not really examine learning on domain- specific academic tasks (e.g., math, science tasks), which is what the cognitive researchers were focused on in their re- search. Motivational models and constructs were cognitive— especially in social cognitive models of motivation—but the links between the motivational constructs and the cognitive tasks and models were not made explicit in the research or in the theoretical models of motivation. Fortunately, this state of affairs has changed dramatically over the last 20 years of research. Cognitive researchers now recognize the importance of motivational constructs in shap- ing cognition and learning in academic settings (e.g., Bransford, Brown, & Cocking, 1999), and motivational re- searchers have become interested in how motivational beliefs relate to student cognition and classroom learning (e.g., Pintrich, 2000a, 2000c). This integrative work on academic cognition and motivation has provided a much more accurate and ecologically valid description of classroom learning. Given these advances in our scientific knowledge, our under- standing of classroom learning is not only more robust and generalizable, but it is also more readily applicable to prob- lems of instructional improvement. The purpose of this chapter is to summarize this work and discuss how various motivational constructs are related to student cognition and learning in classrooms. Given space considerations, this chapter does not represent a comprehen- sive review of the extant research in this area; rather, it attempts to highlight the key features of the work and active areas of research interest and future directions for the field. 104 Motivation and Classroom Learning In addition, the chapter focuses on personal motivational beliefs and their role in cognition and learning. It does not consider the role of various classroom contextual features and how they shape the development of student motivation. Readers interested in the role of classroom context factors can consult other sources (e.g., Pintrich & Schunk, 2002; Stipek, 1996). This chapter first discusses four general out- comes of motivation; then it considers how different motiva- tional constructs are related to these four outcomes. From this analysis, four generalizations are proposed for how motiva- tional constructs can facilitate or constrain cognition and learning. The chapter concludes with a discussion of future research directions for integrating motivation and cognition. MOTIVATIONAL THEORIES AND STUDENT OUTCOMES There are many different motivational theories related to achievement and learning (see Pintrich & Schunk, 2002; Graham & Weiner, 1996). These theories make some differ- ent metatheoretical assumptions about human nature and have proposed a large number of different constructs to ex- plain motivated human behavior. In fact, the large number of different motivational constructs with different labels often makes it difficult for novices to understand and use the dif- ferent constructs in their own research (Murphy & Alexander, 2000). Nevertheless, these different theories have some im- portant commonalities in outcomes and motivational con- structs that allow for some synthesis across theories. In this chapter, the focus is on four general outcomes with which all motivational theories are concerned, as well as three macrolevel motivational components that are inherent in most models of motivation. Accordingly, this chapter does not focus on different theoretical models of motivation; rather, it discusses how the three different motivational com- ponents are related to the four outcomes. Within the discus- sion of the three general motivational components, different theoretical perspectives and constructs are highlighted. The term motivation comes from the Latin verb movere, which means to move. Motivation is evoked to explain what gets people going, keeps them going, and helps them finish tasks (Pintrich & Schunk, 2002). Most important is that moti- vational constructs are used to explain the instigation of behavior, the direction of behavior (choice), the intensity of be- havior (effort, persistence), and actual achievement or accom- plishments. Motivational theories focus both on developing general laws of behavior that apply to all people (a nomothetic perspective) as well as seeking explanations for individual dif- ferences in behavior (an idiographic perspective). Historically, cognitive researchers often ignored motivational research because it was assumed that motivational constructs were used to explain individual differences in behavior, which was not a useful perspective for general models of cognition. How- ever, this classic distinction between nomothetic and idio- graphic perspectives has lessened over time as motivational researchers have developed general principles that apply to all individuals as well as constructs that can be used to explain in- dividual differences. Most motivational theories attempt to predict four general outcomes. First, motivational theories are concerned with why individuals choose one activity over another—whether it be the day-to-day decisions regarding the choice of work- ing on a task or relaxing or the more momentous and serious choices regarding career, marriage, and family. In the acade- mic domain, the main issues regarding choice concern why some students choose to do their schoolwork and others choose to watch TV, talk on the phone, play on the computer, play with friends, or any of the other activities that students can choose to do instead of their schoolwork. In addition, motivational theories have examined why students choose one major over another or choose to take certain classes over others when given a choice. For example, in high school, stu- dents are often allowed to choose some of their courses; mo- tivational theories have examined why some students choose to take more academic math and science courses over less rigorous courses. Choice is an important motivational out- come, and choosing to do an academic task over a nonacade- mic task is important for classroom learning; however, it may not be as important to classroom learning as are some of the following outcomes. A second aspect of motivated behavior that motivational research has examined is the students’ level of activity or in- volvement in a task. It is assumed that students are motivated when they put forth a great deal of effort in courses—from not falling asleep to more active engagement in the course. Behavioral indicators of this involvement could include tak- ing detailed notes, asking good questions in class, being will- ing to take risks in class by stating ideas or opinions, coming after class to discuss in more detail the ideas presented in class, discussing the ideas from the course with classmates or friends outside of class time, spending a reasonable amount of time studying and preparing for class or exams, spending more time on one course than on other activities, and seeking out additional or new information from the library or other sources that goes beyond what is presented in class. Motiva- tional theories have developed constructs that help to predict these types of behavioral outcomes. Besides these behavioral indicators, there are more covert or unobservable aspects of engagement that include cognitive
The Role of Motivational Components in Classroom Learning 105 engagement and processing, such as thinking deeply about the material, using various cognitive and self-regulatory strategies to learn the material in a more disciplined and thoughtful manner, seeking to understand the material (not just memorize it), and integrating the new material with pre- viously held conceptions of the content. All of these cogni- tive processes are crucial for deeper understanding and learning. It is important to note that it is not enough for stu- dents to just be behaviorally engaged in the course; they also must be cognitively engaged in order for true learning and understanding to occur. In this sense, cognitive engagement refers to the quality of students’ engagement, whereas sheer effort refers to the quantity of their engagement in the class. This outcome of cognitive engagement is the most important one for understanding classroom learning and is the main focus of this chapter. The third general aspect of motivated behavior that has been examined in most motivational theories is persistence. If individuals persist at tasks even in the face of difficulty, boredom, or fatigue, it would be inferred that they are moti- vated to do that task. Persistence is easily observable in gen- eral because teachers do have opportunities to observe students actually working on course tasks during class time. It is common for teachers to comment on the students’ will- ingness to persist and try hard on the classwork. In this sense, persistence and behavioral engagement are much easier for teachers and others to judge than is cognitive engagement. The fourth general outcome that motivational theories have examined is actual achievement or performance; in the classroom setting, this involves predicting course grades, scores on classroom tests, or performance on standardized achievement tests. These are important outcomes of school- ing, although they may not always reflect what students actu- ally learned or the quality of their cognition and thinking. This mismatch between the quality of cognition and the per- formance on the academic tasks or tests that students actually confront in classrooms can lead to some different conclusions about the role of different motivational components. It may be that some motivational components predict general course achievement or performance on standardized tests, and oth- ers are better predictors of the quality of cognition or cogni- tive engagement in learning tasks. This general idea of differential links between different motivational components and different outcomes is an important contribution of cur- rent motivational research. The field has moved past the search for a single magic motivational bullet that will solve all learning and instructional problems to the consideration of how different motivational components can facilitate or con- strain different outcomes. The remainder of this chapter discusses how motivational components can shape and influence cognition, learning, and the other important outcomes of schooling. Of course, a key assumption is that motivation and cognition are related, and that contrary to Brown et al. (1983), there is a need to exam- ine how motivational and emotional components can facili- tate or constrain cognition and learning. Accordingly, the remainder of this chapter discusses how motivational compo- nents can predict the four outcomes, including cognition and learning. At the same time, it should be clear that most cur- rent models of motivation assume that there is a reciprocal re- lation between motivation and cognition such that cognitive outcomes like learning and thinking or general outcomes like achievement and performance do have feedback effects on motivation. For example, as a student learns more and be- comes more successful in achieving in the classroom (as in- dexed by grades or test scores), these accomplishments have an influence on subsequent motivation. Nevertheless, the em- phasis in the motivational research has been on how motiva- tion influences cognition and learning; therefore, that is the general orientation taken in this chapter. THE ROLE OF MOTIVATIONAL COMPONENTS IN CLASSROOM LEARNING Although many models of motivation may be relevant to student learning (see Graham & Weiner, 1996; Heckhausen, 1991; Pintrich & Schunk, 2002; Weiner, 1992), a general expectancy-value model serves as a useful framework for analyzing the research on motivational components (Pintrich, 1988a, 1988b, 1989; Pintrich & Schunk, 2002). Three general components seem to be important in these different models: (a) beliefs about one’s ability or skill to perform the task (expectancy components); (b) beliefs about the impor- tance, interest, and utility of the task (value components); and (c) feelings about the self or emotional reactions to the task (affective components).
Expectancy components are students’ answer to the question Can I do this task? If students believe that they have some control over their skills and the task environment and if they are confident in their ability to perform the necessary skills, they are more likely to choose to do the task, be cognitively involved, persist at the task, and achieve at higher levels. Dif- ferent motivational theorists have proposed a variety of con- structs that can be categorized as expectancy components. The main distinction is between how much control one 106 Motivation and Classroom Learning believes one has over the situation and perceptions of effi- cacy to accomplish the task in that situation. Of course, these beliefs are correlated empirically, but most models do propose separate constructs for control beliefs and efficacy beliefs.
Control Beliefs There have been a number of constructs and theories pro- posed about the role of control beliefs for motivational dy- namics. For example, early work on locus of control (e.g., Lefcourt, 1976; Rotter, 1966) found that students who be- lieved that they were in control of their behavior and could influence the environment (an internal locus of control) tended to achieve at higher levels. Deci (1975) and de Charms (1968) discussed perceptions of control in terms of students’ belief in self-determination. This self-determination perspective is crucial in intrinsic motivation theories of moti- vation (e.g., Deci & Ryan, 1985; Ryan & Deci, 2000) in which students are only intrinsically motivated if they feel autonomous and their behavior is self-determined rather than controlled by others. De Charms (1968) coined the terms ori-
able to control their actions and students who believed others controlled their behavior. Connell (1985) suggested that there are three aspects of control beliefs: an internal source, an ex- ternal source or powerful others, and an unknown source. Students who believe in internal sources of control are as- sumed to perform better than do students who believe power- ful others (e.g., faculty, parents) are responsible for their success or failure or those students who don’t know who or what is responsible for the outcomes. In the college class- room, Perry and his colleagues (e.g., Perry, 1991; Perry & Dickens, 1988; Perry & Magnusson, 1989; Perry & Penner, 1990) have shown that students’ beliefs about how their per- sonal attributes influence the environment—what they label perceived control—are related to achievement and to aspects of the classroom environment (e.g., instructor feedback). Skinner and her colleagues (e.g., Skinner, 1995, 1996; Skinner, Wellborn, & Connell, 1990) distinguish three types of beliefs that contribute to perceived control and that are im- portant in school. These three beliefs can be organized around the relations between an agent, the means or strate- gies and agent might use, and the ends or goals that the agent is trying to attain through the means or strategies (Skinner, 1995). Capacity beliefs refer to an individual’s beliefs about his or her personal capabilities with respect to ability, effort, others, and luck (e.g., I can’t seem to try very hard in school ). These beliefs reflect the person’s beliefs that he or she has the means to accomplish something and are similar to efficacy judgments (Bandura, 1997) or agency beliefs (Skinner, 1995, 1996; Skinner, Chapman, & Baltes, 1988). Strategy beliefs are expectations or perceptions about factors that influence success in school, such as ability, effort, others, luck, or un- known factors (e.g., The best way for me to get good grades
means are linked to the ends—that if one uses the strategies, the goal will be attained. They also have been called outcome expectations (Bandura, 1997) and means-ends beliefs (Skinner, 1995, 1996). Control beliefs are expectations about an individual’s likelihood of doing well in school without reference to specific means (e.g., I can do well in school if I
and the ends or goals and also have been called control ex- pectancy beliefs (Skinner, 1995, 1996). Skinner and col- leagues (Skinner, 1995; Skinner et al., 1990) found that perceived control influenced academic performance by pro- moting or decreasing active engagement in learning and that teachers contributed to students’ perceptions of control when they provided clear and consistent guidelines and feedback, stimulated students’ interest in learning, and assisted students with resources. In self-efficacy theory, outcome expectations refer to individuals’ beliefs concerning their ability to influence outcomes—that is, their belief that the environment is responsive to their actions, which is different from self- efficacy (the belief that one can do the task; see Bandura, 1986; Schunk, 1985). This belief that outcomes are contingent on their behavior leads individuals to have higher expectations for success and should lead to more persistence. When indi- viduals do not perceive a contingency between their behavior and outcomes, they may show passivity, anxiety, lack of effort, and lower achievement, often labeled learned helplessness (cf. Abramson, Seligman, & Teasdale, 1978). Learned help- lessness is usually seen as a stable pattern of attributing many events to uncontrollable causes, which leaves the individual believing that there is no opportunity for change that is under their control. These individuals do not believe they can do any- thing that will make a difference and that the environment or situation is basically not responsive to their actions. The overriding message of all these models is that a gen- eral pattern of perception of internal control results in positive outcomes (i.e., more cognitive engagement, higher achieve- ment, higher self-esteem), whereas sustained perceptions of external or unknown control result in negative outcomes (lower achievement, lack of effort, passivity, anxiety). Re- views of research in this area are somewhat conflicting, how- ever (cf. Findley & Cooper, 1983; Stipek & Weisz; 1981), and some have argued that it is better to accept responsibility for positive outcomes (an internal locus of control) and deny |
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