Self-Regulated Learning: Literature Review

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Literature Review Running head: LITERATURE REVIEW OF SELF-REGULATED LEARNING 1 Literature Review of Self-regulated Learning Jennifer Maddrell Old Dominion University IDT 860: Cognition and Instructional Design April 18, 2008 Literature Review Purpose of Review Self-regulated learning (SRL) refers to the ability of a learner to understand and control his or her learning process and outcome (Schraw, Crippen & Harley, 2006). What follows is a review and analysis of the theoretical perspectives and research findings related to how social factors within the learning environment influence a learner’s likelihood and ability to selfregulate. The objective is to assess what (if any) social features influence a learner’s ability to self-regulate and how those features should be considered within the design of instruction to increase a learner’s self-regulation. Social Cognitive Theories of Self-regulated Learning In a recent extensive literature review of self-regulation conducted by Post, Boyer, and Brett (2006), four distinct periods of study on self-regulation emerged over the 1891 to 2006 time period, including Precursory (1891-1950), Emergent (1950-1970), Contemporary (1970- 2 1990), and Expansionist (1990 to present) periods. While a host of definitions and conceptions of learner self-regulation appear across the decades of study, Post et al. report that a great deal of the literature written within the current Expansionist period incorporates a decidedly social cognitive perspective; one in which the social environment is assumed to influence the selfregulatory process. Many recent articles on SRL cite a definition by Pintrich (2000) which describes SRL as “an active, constructive process whereby learners set goals for their learning and then attempt to monitor, regulate, and control their cognition, motivation, and behavior, guided and constrained by their goals and the contextual features in the environment” (p. 453). This description parallels what Zimmerman (2000) terms a “Triadic Definition of SRL” involving the interaction of 1) personal self-regulation involving the adjustment of cognitive and affective states, 2) behavioral Literature Review self-regulation involving self-observing and strategically adjusting performance, and 3) environmental self-regulation involving the observation and adjustment of environmental conditions. Zimmerman describes these interactions as occurring within a self-regulatory goal setting, monitoring, and evaluation loop, as shown in Figure 1, including forethought of task, performance, and self-reflection. While variations on this social cognitive conception of SRL exist, most suggest an iterative process in which a self-regulated learner establishes a desired learning goal, monitors progress, and regulates cognitive, behavioral, and environmental conditions to optimize learning (Boekaerts & Cascallar, 2006). Figure 1. Self-regulatory loop. 3 Influence of Social and Environmental Context Social cognitive theories of self-regulation suggest interdependence between the social context within the learning environment and an individual’s self-regulation (Yowell & Smylie, as cited in Meyer & Tuner, 2002). During the self-regulation process, the individual learner uses social and other environmental conditions as resources to enhance forethought, performance, and self-reflection (Zimmerman, 2000). Jackson, Mackenzie, and Hobfoll (2000) extend this social cognitive view by suggesting a “self-in-social-setting” regulation which emphasizes the importance of “communal regulation” in which an individual regulates and monitors his or her cognition and actions within the norms Literature Review and constraints of his or her social network. They suggest that it is incomplete to consider selfregulation without an acknowledgement that individuals seek sources within the larger community to act as models of behavioral guidance and to provide confirmation of appropriate actions. However, the vast majority of research conducted prior to the 1990s examined selfregulation without regard to the specific social or environmental context which prompted a call for an examination of SRL within actual learning settings to assess the features of the social context that impact SRL (Eccles & Wigfield 2002; Jackson et al., 2000; Perry, 1998; Perry, 4 VandeKamp, Mercer & Nordby, 2002). More recently, researchers are examining the influence of social and external context on SRL within various instructional settings. Their findings suggest that self-regulation is influenced by a host of instructional and environmental conditions, including the clarity and pace of instruction, the amount of structure provided to learners, the degree of learner autonomy, teacher characteristics, and other classroom factors (Boekaerts & Cascallar, 2006). The following summarizes research findings that offer instructional design and delivery approaches to foster learner self-regulation. Influence of Instructional Design Instructional Methods. The selection of instructional methods appears to impact a learner’s self-regulation. Methods which provide challenging and supported activities, increased learner autonomy, and opportunities for self-evaluation appear to increase learner self-regulation. Perry (1998) and Perry et al. (2002) report findings from qualitative observational studies designed to identify instructional methods which promote SRL. Following a six month period of data collection within weekly visits to five classrooms, the researchers’ observations led them to suggest that students can and do engage in SRL where opportunities exist for the learners to a) Literature Review engage in complex open-ended activities, b) make decisions which impact their learning, c) impact the degree of challenge, and d) self-evaluate. Sungar and Tekkaya (2006) report similar findings from their study which compared various measures of learner self-regulation involving two classrooms of tenth-grade students within the same high school taking the same biology course from the same teacher. The control classroom was taught in a “traditional teacher-centered and textbook-oriented” approach which included teacher explanation, the use of textbooks, and worksheet study. In contrast, the experimental classroom was taught throughout the term using a problem-based learning approach which incorporated a mix of resources, independent study, and group discussion to address case studies. The results suggest that those taught using the problem-based learning 5 approach had higher self-regulation measures, including increased intrinsic goal orientation, task value, use of elaboration learning strategies, critical thinking, metacognitive regulation, and effort regulation. Embedded Guidance. Research also suggests that self-regulatory cues embedded within the instruction can foster learner self-regulation. Embedded cues provide opportunities for learner goal setting, self-appraisal, and reflection. Kramarski and Mizrachi (2006) evaluated the influence of metacognitive guidance embedded within online discussion forums on SRL. Within the study, 43 seventh-grade students in two separate groups practiced online math problemsolving once a week in the computer lab during a four week period. The two groups used the same (but separated) online discussion forums to conduct discussions with a peer math partner. Both groups were given the same instructions, offered the ability to participate in the discussion, asked to send assignments to each other, and encouraged to reflect on the solutions. Metacognitive guidance in the form of four questions was provided to only the treatment group Literature Review 6 and included: 1) comprehension questions, such as “What is this problem about?”, 2) connection questions, such as “How are these problems similar or different to prior problems?”, 3) strategic questions, such as “What are the appropriate strategies to use for this problem?”, and 4) reflection questions, such as “Does this solution make sense?” The findings suggest that not only did the treatment group of students achieve significantly higher levels of math problem solving scores, but also that the students were more likely to justify their reasoning. In addition, they attained higher levels in other self-regulatory measures, including interest in problem-solving, mathematical engagement, and preference for the online communication. The researchers concluded that students who are encouraged to self-question during the instructional process will, in turn, engage in more reflective discourse and actively monitor and control their interactions with the learning environment which the researchers saw as an enhancement in the learners’ SRL. Yang (2006) reports similar findings from a study in which various types of self-regulated learning cues were embedded into course materials in a college level online course. Embedded cues included performance control, elaboration, and self-monitoring approaches, such as organizational checklists and prompts to review and reflect upon major concepts. Findings from the study suggest that embedded self-regulated learning cues help learners to self-regulate and self-monitor progress. Influence of Instructional Delivery Classroom Characteristics. Promotion of a supportive classroom environment, one that provides motivational, emotional, and academic support, has been shown to enhance learner selfregulation. Myer and Turner (2002) examined self-regulation through an observation of various classroom social contexts. Within a series of qualitative observational studies, they report Literature Review significant differences among the opportunities for learners to self-regulate their learning due to variations in classroom conditions, including the teacher’s discourse approach, the support 7 climate of the classroom, the degree of shared understanding and responsibility for learning, and the degree of learner autonomy. Based on their classroom observations, the researchers suggest that learners have a better opportunity to self-regulate and exercise autonomy as learners when the teacher in the classroom a) displays a “scaffolded” instructional discourse, including hints, cued questions, and open questions, b) exhibits less teacher control over discussions, c) provides motivational support, d) strives for a shared understanding within the class, and e) holds high expectations for an individual’s success. Patrick, Ryan, and Kaplan (2007) invested how students’ perceptions of the classroom environment are associated with self-regulation strategies. In a survey of 602 fifth-grade students, various elements of the classroom social environment were measured to assess the impact on the students’ use of self-regulation strategies. The results indicate that 1) promotion of interaction, 2) emotional support, and 3) academic support all contribute to learner selfregulation. Teacher Style. In addition, research suggests that the instructors’ teaching style influences learner autonomy and self-regulation. Instructors who effectively assess and monitor the teacherlearner control balance, provide learners with choice and opportunities for self-appraisal, and move away from highly structured task assignments as the learner progresses tend to foster greater learner self-regulation (Driscoll, 2005). Considering teacher style on a continuum of “highly controlling” to “highly autonomysupportive”, Reeve and Jang (2006) tested the hypothesis that instructional behavior favored by teachers with an autonomy-supportive style would be associated with a high level of students’ Literature Review perceived autonomy and, conversely, instructional behaviors favored by teachers with a controlling style would be associated with low levels of perceived autonomy. Within the experiment, 72 pairs of preservice teachers were randomly assigned to the role of either the teacher or student. Those in the teacher role where shown a puzzle with several possible puzzle 8 patterns and given 10 minutes to plan an instructional strategy. They were told to help the student learn about the puzzle and solve it in “whatever way you see fit”. Those in the student role were told by the experimenter to “learn how the puzzle worked and try to solve some or all of the solutions.” Observed teacher behavior, students’ perceived autonomy, and student outcomes (interest, engagement, and performance) were measured and correlated. The correlations show that students’ perceived autonomy positively correlated with student outcomes. Further, all measured “autonomy-supportive” instructional behaviors positively correlated with students’ perceived autonomy. These reported instructional behaviors include 1) listening, 2) creating time for independent work, 3) giving the student opportunities to talk, 4) giving praise as feedback, 5) offering encouragement, 6) offering hints, 7) being responsive to questions and comments, and 8) acknowledging the student’s perspective and experiences. In contrast, instructional behaviors associated with a high degree of teacher control were negatively correlated with perceived autonomy. These reported instructional behaviors include 1) time the teacher held the learning materials, 2) exhibiting solutions and answers prior to giving the student time to work independently, 3) stating directives and commands, 4) making “should / got to” statements, and 5) asking controlling questions. An examination of teacher control was also the focus of a longitudinal case study by Rasku-Puttonen, Eteläpelto, Arvaja, and Häkkinen (2003) who set out to assess how different degrees of teacher control influence teacher-student discussion and how teacher-student Literature Review 9 discussion change over the course of an extended learning project. Self-regulation was measured based on the level of each student’s discourse, goal setting, indications of difficulty, requests for explanation, as well as the explanations provided to the teacher. The findings suggest that a teacher must continuously monitor a learner’s level of self-regulation throughout the learning process in order to properly evaluate when to move away from highly structured task assignments and when to adapt activities to the student’s actual performance. Rasku-Puttonen et al. argue that it is necessary for teachers to alter their level of control, hence their role in the learning process, to shift more responsibility to the learners for their own learning. Fostered Work Habits. Research also suggests that self-regulation can be fostered through classroom developed work habits (Corno, 2000). Torrance, Fidalgo, and Garcia (2007) studied the effectiveness and “teachability” of self-regulation, including the adoption of preplanning activities, in developing writers. The writing habits of 71 sixth-grade students who completed 10 weekly one hour writing sessions were compared with a control group of students who did not take part in the outside writing sessions. The results indicate that from a combination of teacher modeling and student emulation, students developed self-regulated planning strategies as evidenced by increased time spent in preplanning their writing task, as compared to the control group Summary of Lessons Learned While self-regulated learning is a process controlled by the learner, there is a growing body of research that suggests social and environmental factors influence the likelihood and ability of a learner to engage in this process. As seen in the research findings highlighted above, instructional design and delivery practices have been shown to influence a learner’s forethought of task, performance and reflection process. The list that follows provides a summary of the key Literature Review heuristics contained in the research findings which offer instructional designers and instructors suggested guidelines to foster learner self-regulation: 1. Encourage goal setting and self-monitoring of progress toward those goals. 2. Incorporate opportunities for directed and self-directed reflection. 3. Develop and foster habits of self-reflection. 4. Assess and monitor the teacher-learner control balance during instruction. 5. Move away from highly structured task assignments as the learner progresses. 10 6. Provide learners with opportunities to make decisions which impact their learning. 7. Allow learners periods to work independently. 8. Avoid directives and commands. 9. Incorporate opportunities for learners to seek help. 10. Be responsive to a learner’s questions and comments. Literature Review References 11 Boekaerts, M., & Cascallar, E. (2006). How far have we moved toward the integration of theory and practice in self-regulation? Educational Psychology Review, 18(3), 199-210. Corno, L. (2000). Special Double Issue on Conceptions of Volition: Theoretical Investigations and Studies of Practice. International Journal of Educational Research, 33(7-8), 659. Driscoll, M. P. (2005). Psychology of learning for instruction. Boston: Pearson Allyn and Bacon. Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53(1), 109-132. Jackson, T., Mackenzie, J., & Hobfoll, S. (2000). Communal aspects of self-regulation. In M. Boekaerts, P.R. Pintrich & M. Zeidner (Eds.), Handbook of self-regulation (pp. 275-296). San Diego, California: Academic Press. Kramarski, B., & Mizrachi, N. (2006). Online interactions in a mathematical classroom. Educational Media International, 43(1), 43-50. Meyer, D. K., & Turner, J. C. (2002). Using instructional discourse analysis to study the scaffolding of student self-regulation. Educational Psychologist, 37(1), 17-25. Patrick, H., Ryan, A. M., & Kaplan, A. (2007). Early Adolescents’ Perceptions of the Classroom Social Environment, Motivational Beliefs, and Engagement. Journal of Educational Psychology, 99(1), 83-98. Perry, N. E. (1998). Young children’s self-regulated learning and contexts that support it. Journal of Educational Psychology, 90(4), 715-29. Perry, N. E., VandeKamp, K. O., Mercer, L. K., & Nordby, C. J. (2002). Investigating teacherstudent interactions that foster self-regulated learning. Educational Psychologist, 37(1), 5-15. Literature Review Pintrich, P. R. (2000). The role of goal orientation in self-regulated learning. In M. Boekaerts, P.R. Pintrich & M. Zeidner (Eds.), Handbook of self-regulation, (pp. 451-502). San Diego, California: Academic Press. Post, Y., Boyer, W., & Brett, L. (2006). A historical examination of self-regulation: helping children now and in the future. Early Childhood Education Journal, 34(1), 5. Rasku-Puttonen, H., Eteläpelto, A., Arvaja, M., & Häkkinen, P. (2003). Is successful 12 scaffolding an illusion? Shifting patterns of responsibility and control in teacher-student interaction during a long-term learning project. Instructional Science, 31(6), 377-393. Reeve, J., & Jang, H. (2006). What Teachers Say and Do to Support Students’ Autonomy during a Learning Activity. Journal of Educational Psychology, 98(1), 209. Schraw, G., Crippen, K. J., & Hartley, K. (2006). Promoting self-regulation in science education: metacognition as part of a broader perspective on learning. Research in Science Education, 36(1-2), 111. Sungur, S., & Tekkaya, C. (2006). Effects of Problem-Based Learning and Traditional Instruction on Self-Regulated Learning. Journal of Educational Research, 99(5), 307. Torrance, M., Fidalgo, R., & Garcia, J. (2007). The Teachability and Effectiveness of Cognitive Self-Regulation in Sixth-Grade Writers. Learning and Instruction, 17(3), 265. Yang, Y. (2006). Effects of Embedded Strategies on Promoting the Use of Self-Regulated Learning Strategies in an Online Learning Environment. Journal of Educational Technology Systems, 34(3), 257. Zimmerman, B.J. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P.R. Pintrich & M. Zeidner (Eds.), Handbook of self-regulation (pp. 13-35). San Diego, California: Academic Press