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Using Self-Regulated Learning (SRL) Assessment Data to Promote Regulatory Engagement in Learning and Performance Contexts

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Abstract

Applications of self-regulated learning (SRL) processes in school contexts continue to rise in popularity and sophistication. In addition to intervention programs and initiatives, researchers have begun examining the effects of professional development programming and the role of SRL assessment practices in promoting optimal functioning and development. This chapter focuses on both SRL intervention and assessment practices, with particular emphasis on the emerging role of various SRL measures as formative assessment tools. Specifically, we review research and illustrate how SRL microanalysis and the Diagnostic Assessment and Achievement of College Students (DAACS) self-report questionnaire can be used in a formative fashion by researchers and/or practitioners to promote optimal feedback that can enhance student engagement and overall learning as well as teachers’ instructional approaches or interactions with students. Implications for practice and suggested areas for future research are also presented and discussed.

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References

  • Allshouse, A. D. (2016). Professional development in self-regulated learning: Effects of a workshop on teacher knowledge, skills, and self-efficacy, and the development of a coaching framework (Publication No. 10297495) [Doctoral dissertation, Rutgers, The State University of New Jersey]. ProQuest Dissertations and Theses Global.

    Google Scholar 

  • Andrade, H. (2013). Classroom assessment in the context of learning theory and research. In J. H. McMillan (Ed.), SAGE handbook of research on classroom assessment (pp. 17–34). SAGE. https://doi.org/10.4135/9781452218649.n2

    Chapter  Google Scholar 

  • Andrade, H. (2016). Classroom assessment and learning: A selective review of theory and research [White paper]. National Academy of Sciences.

    Google Scholar 

  • Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall.

    Google Scholar 

  • Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman.

    Google Scholar 

  • Barkley, R. A. (2016). Attention-deficit/hyperactivity disorder and self-regulation: Taking an evolutionary perspective on executive functioning. In K. D. Vohs & R. F. Baumeister (Eds.), Handbook of self-regulation: Research, theory and application (3rd ed., pp. 497–515). Guilford Press.

    Google Scholar 

  • Bernacki, M. L. (2018). Examining the cyclical, loosely sequenced, and contingent features of self-regulated learning: Trace data and their analysis. In D. H. Schunk & J. A. Greene (Eds.), Educational psychology handbook series. Handbook of self-regulation of learning and performance (pp. 370–387). Routledge/Taylor & Francis Group. https://doi.org/10.4324/9781315697048.ch24

    Chapter  Google Scholar 

  • Briesch, A. M., & Briesch, J. M. (2016). Meta-analysis of behavioral self-management interventions in single-case research. School Psychology Review, 45(1), 3–18. https://doi.org/10.17105/SPR45-1.3-18

    Article  Google Scholar 

  • Bryer, J. M., Andrade, H. L., Cleary, T. J., Lui, A. M., Franklin Jr., D., & Akhmedjanova, D. (2022). The efficacy and predictive power of the diagnostic assessment and achievement of college skills on academic success [Manuscript submitted for publication]. Department of Data Sciences and Information Systems, School of Professional Studies – CUNY.

    Google Scholar 

  • Butler, D. L., & Winne, P. H. (1995). Feedback and self-regulated learning: A theoretical synthesis. Review of Educational Research, 65(3), 245–281. https://doi.org/10.3102/00346543065003245

    Article  Google Scholar 

  • Christenson, S. L., Reschly, A. L., & Wylie, C. (Eds.). (2012). Handbook of research on student engagement. Guilford Press. https://doi.org/10.1007/978-1-4614-2018-7

  • Cleary, T. J. (2006). The development and validation of the Self-Regulation Strategy Inventory—Self-Report. Journal of SchoolPsychology, 44(4), 307–322. https://doi.org/10.1016/j.jsp.2006.05.002

    Article  Google Scholar 

  • Cleary, T. J. (2011). Emergence of self-regulated learning microanalysis: Historical overview, essential features, and implications for research and practice. In B. J. Zimmerman & D. H. Schunk (Eds.), Handbook of self-regulation of learning and performance (pp. 329–345). Taylor Francis.

    Google Scholar 

  • Cleary, T. J., & Callan, G. L. (2018). Assessing self-regulated learning using microanalytic methods. In D. H. Schunk & J. A. Greene (Eds.), Handbook of self-regulation of learning and performance (2nd ed., pp. 338–351). Routledge. https://doi.org/10.4324/9781315697048.ch22

    Chapter  Google Scholar 

  • Cleary, T. J., & Kitsantas, A. (2017). Motivation and self-regulated learning influences on middle school mathematics achievement. School Psychology Review, 46(1), 88–107. https://doi.org/10.1080/02796015.2017.12087607

    Article  Google Scholar 

  • Cleary, T. J., & Platten, P. (2013). Examining the correspondence between self-regulated learning and academic achievement: A case study analysis [Special issue]. Educational Research International. https://doi.org/10.1155/2013/272560

  • Cleary, T. J., & Zimmerman, B. J. (2004). Self-regulation empowerment program: A school-based program to enhance self-regulated and self-motivated cycles of student learning. Psychology in the Schools, 41(5), 537–550. https://doi.org/10.1002/pits.10177

    Article  Google Scholar 

  • Cleary, T. J., & Zimmerman, B. J. (2006). Teachers’ perceived usefulness of strategy microanalytic assessment information. Psychology in the Schools, 43(2), 149–155. https://doi.org/10.1002/pits.20141

    Article  Google Scholar 

  • Cleary, T. J., & Zimmerman, B. J. (2012). A cyclical self-regulatory account of student engagement: Theoretical foundations and applications. In S. Christenson, A. L. Reschly, & C. Wylie (Eds.), Handbook of research on student engagement (pp. 237–258). Springer. https://doi.org/10.1007/978-1-4614-2018-7_11

    Chapter  Google Scholar 

  • Cleary, T. J., Gubi, A., & Prescott, M. V. (2010). Motivation and self-regulation assessments: Professional practices and needs of school psychologists. Psychology in the Schools, 47(10), 985–1002. https://doi.org/10.1002/pits.20519

    Article  Google Scholar 

  • Cleary, T. J., Velardi, B., & Schnaidman, B. (2017). Effects of the Self-Regulation Empowerment Program (SREP) on middle school students’ strategic skills, self-efficacy, and mathematics achievement. Journal of School Psychology, 64, 28–42. https://doi.org/10.1016/j.jsp.2017.04.004

    Article  PubMed  Google Scholar 

  • Cleary, T. J., Kitsantas, A., Pape, S. L., & Slemp, J. (2018). Integration of socialization influences and the development of self-regulated learning (SRL) skills: A social-cognitive perspective. In G. A. D. Alief & D. McInerney (Eds.), Big theoriesrevisited (2nd ed., pp. 269–294). Information Age Publishing.

    Google Scholar 

  • Cleary, T. J., Slemp. J., Alperin, A., Reddy, L., Alperin, A., Lui, A., Austin, A., & Cedar, T. (2021). Characteristics and uses of SRL microanalysis across diverse contexts, tasks, and populations: A systematic review. School Psychology Review, 1–21. https://doi.org/10.1080/2372966X.2020.1862627

  • Coalition for Psychology in Schools and Education. (2006). Report on the teacher needs survey. American Psychological Association, Center for Psychology in Schools and Education. https://www.apa.org/ed/schools/coalition/2006-teacher-needs-report.pdf

  • Cook, C. R., Thayer, A. J., Fiat, A., & Sullivan, M. (2020). Interventions to enhance affective engagement. In A. L. Reschly, A. J. Pohl, & S. L. Christenson (Eds.), Student engagement: Effective academic, behavioral, cognitive, and affective interventions at school (pp. 203–238). SpringerLink. https://doi.org/10.1007/978-3-030-37285-9_12

    Chapter  Google Scholar 

  • Efklides, A. (2011). Interactions of metacognition with motivation and affect in self-regulated learning: The MASRL model. Educational Psychologist, 46(1), 6–25. https://doi.org/10.1080/00461520.2011.538645

    Article  Google Scholar 

  • Fredericks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59–109. https://doi.org/10.3102/00346543074001059

    Article  Google Scholar 

  • Ganda, D. R., & Boruchovitch, E. (2018). Promoting self-regulated learning of Brazilian preservice student teachers: Results of an intervention program. Frontiers in Education, 3(5), 1–12. https://doi.org/10.3389/feduc.2018.00005

    Article  Google Scholar 

  • Graham, S., & Harris, K. R. (2009). Almost 30 years of writing research: Making sense of it all with The Wrath of Khan. Learning Disabilities Research, 24(2), 58–68. https://doi.org/10.1111/j.1540-5826.2009.01277.x

    Article  Google Scholar 

  • Graham, S., McKeown, D., Kiuhara, D., & Harris, K. R. (2012). A meta-analysis of writing instruction for students in the elementary grades. Journal of Educational Psychology, 104(4), 879–896. https://doi.org/10.1037/a0029185

    Article  Google Scholar 

  • Greene, J. A. (2018). Self-regulation in education. Routledge.

    Google Scholar 

  • Grolnick, W. S., & Raftery-Helmer, J. N. (2015). Contexts supporting self-regulated learning at school transitions. In T. J. Cleary (Ed.), Self-regulated learning interventions: Enhancing adaptability, performance, and well-being (pp. 251–276). American Psychological Association. https://doi.org/10.1037/14641-012

    Chapter  Google Scholar 

  • Hattie, J. A. C., & Timperley, H. (2007). The power of feedback. Review of Educational Research, 77(1), 81–112. https://doi.org/10.3102/003465430298487

    Article  Google Scholar 

  • Kramarski, B., & Michalsky, T. (2015). Effect of a TPCK-SRL model on teachers’ pedagogical beliefs, self-efficacy, and technology-based lesson design. In C. Angeli & N. Valanides (Eds.), Technological pedagogical content knowledge (pp. 89–112). Springer. https://doi.org/10.1007/978-1-4899-8080-9_5

    Chapter  Google Scholar 

  • Kramarski, B., Desoete, A., Bannert, M., Narciss, S., & Perry, N. (2013). New perspectives on integrating self-regulated learning at school [Special issue]. Education Research International. https://doi.org/10.1155/2013/498214

  • Kremer-Hayon, L., & Tillema, H. H. (1999). Self-regulated learning in the context of teacher education. Teaching and Teacher Education, 15, 507–522. https://doi.org/10.1016/S0742-051X(99)00008-6

    Article  Google Scholar 

  • Lau, K. L. (2012). Chinese language teachers’ perception and implementation of self-regulated learning-based instruction. Teaching and Teacher Education, 31, 56–66. https://doi.org/10.1016/j.tate.2012.12.001

    Article  Google Scholar 

  • Lovelace, M. D., Reschly, A. L., & Appleton, J. J. (2017). Beyond school records: The value of cognitive and affective engagement in predicting dropout and on-time graduation. Professional School Counseling, 21, 70–84. https://doi.org/10.5330/1096-2409-21.1.70

    Article  Google Scholar 

  • Lui, A. M., Franklin, D., Jr., Akhmedjanova, D., Gorgun, G., Bryer, J., Andrade, H. L., & Cleary, T. (2018). Validity Evidence of the Internal Structure of the DAACS Self-Regulated Learning Survey. Future Review: International Journal of Transition, College, and Career Success, 1(1), 1–18.

    Google Scholar 

  • McPherson, G. E., Osborne, M. S., Evans, P., & Miksza, P. (2017). Applying self-regulated learning microanalysis to study musicians’ practice. Psychology of Music, 1–15. https://doi.org/10.1177/0305735617731614

  • Montague, M., Enders, C., & Dietz, S. (2014). Effects of cognitive strategy instruction on math problem solving of middle school students with learning disabilities. Learning Disability Quarterly, 34(4), 262–272. https://doi.org/10.1177/0731948711421762

    Article  Google Scholar 

  • Nichols, S. L., & Dawson, H. S. (2012). Assessment as context for student engagement. In S. Christenson, A. L. Reschly, & C. Wylie (Eds.), Handbook of research on student engagement (pp. 457–478). Springer. https://doi.org/10.1007/978-1-4614-2018-7_22

    Chapter  Google Scholar 

  • O’Donnell and Reschly. (2020). Assessment of student engagement. In A. L. Reschly, A. J. Pohl, & S. L. Christenson (Eds.), Student engagement: Effective academic, behavioral, cognitive, and affective interventions at school (pp. 55–76). Springer. https://doi.org/10.1007/978-3-030-37285-9_3

    Chapter  Google Scholar 

  • Osborne, M., McPherson, G. E., Miksza, P., & Evans, P. (2020). Using a microanalysis intervention to examine shifts in musician’s self-regulated learning. Psychology of Music, 1–17. https://doi.org/10.1177/0305735620915265

  • Panadero, E. (2017). A review of self-regulated learning: Six models and four directions for research. Frontiers in Psychology, 8, 193–316. https://doi.org/10.3389/fpsyg.2017.00422

    Article  Google Scholar 

  • Pauli, C., Reusser, K., & Grob, U. (2007). Teaching for understanding and/or self-regulated learning? A video-based analysis of reform-oriented mathematics instruction in Switzerland. International Journal of Educational Research, 46(5), 294–305. https://doi.org/10.1016/j.ijer.2007.10.004

    Article  Google Scholar 

  • Perry, J. C., DeWine, D. B., Duffy, R. D., & Vance, K. S. (2007). The academic self-efficacy of urban youth: A mixed-methods study of a school-to-work program. Journal of Career Development, 34, 103–126. https://doi.org/10.1177/0894845307307470

    Article  Google Scholar 

  • Peters-Burton, E. E., & Botov, I. S. (2017). Self-regulated learning microanalysis as a tool to inform professional development delivery in real-time. Metacognition and Learning, 12(1), 45–78. https://doi.org/10.1007/s11409-016-9160-z

    Article  Google Scholar 

  • Peters-Burton, E. E., Rich, P., Cleary, T., Burton, S., Kitsantas, A., Egan, G., & Ellsworth, J. (2020). Using computational thinking for data practices in high school science. The Science Teacher, 87(6), 30–36.

    Google Scholar 

  • Pintrich, P. R., Smith, D. A., Garcia, T., & McKeachie, W. J. (1991). A manual for the use of the Motivated Strategies for Learning Questionnaire. The Regents of the University of Michigan.

    Google Scholar 

  • Pohl, A. J. (2020). Strategies and interventions for promoting cognitive engagement. In A. L. Reschly, A. J. Pohl, & S. L. Christenson (Eds.), Student engagement: Effective academic, behavioral, cognitive, and affective interventions at school (pp. 253–280). Springer. https://doi.org/10.1007/978-3-030-37285-9_14

    Chapter  Google Scholar 

  • Puustinen, M., & Pulkkinen, L. (2001). Models of self-regulated learning: A review. Scandinavian Journal of Educational Research, 45(3), 269–286. https://doi.org/10.1080/00313830120074206

    Article  Google Scholar 

  • Reddy, L. A., Cleary, T. J., Alperin, A., & Verdesco, A. (2018). A critical review of self-regulated learning interventions for children with attention-deficit hyperactivity disorder. Psychology in the Schools, 55(6), 609–628. https://doi.org/10.1002/pits.22142

    Article  Google Scholar 

  • Reschly, A. L. (2020). Dropout prevention and student engagement. In A. L. Reschly, A. J. Pohl, & S. L. Christenson (Eds.), Student engagement: Effective academic, behavioral, cognitive, and affective interventions at school (pp. 31–54). Springer. https://doi.org/10.1007/978-3-030-37285-9_2

    Chapter  Google Scholar 

  • Reschly, A. L., & Christenson, S. L. (2012). Jingle, jangle, and conceptual haziness: Evolutions and future directions of the engagement construct. In S. L. Christenson, A. L. Reschly, & C. Wylie (Eds.), Handbook of research on student engagement (pp. 3–19). Springer. https://doi.org/10.1007/978-1-4614-2018-7_1

    Chapter  Google Scholar 

  • Reschly, A. L., Pohl, A. J., & Christenson, S. L. (Eds.). (2020). Student engagement: Effective academic, behavioral, cognitive, and affective interventions at school. Springer International Publishing. https://doi.org/10.1007/978-3-030-37285-9

    Book  Google Scholar 

  • Schmitz, B., & Wiese, B. S. (2006). New perspectives for the evaluation of training sessions in self-regulated learning: Time-series analyses of diary data. Contemporary Educational Psychology, 31(1), 64–96. https://doi.org/10.1016/j.cedpsych.2005.02.002

    Article  Google Scholar 

  • Schraw, G., & Dennison, R. S. (1994). Assessing metacognitive awareness. Contemporary Educational Psychology, 19(4), 460–475. https://doi.org/10.1006/ceps.1994.1033

    Article  Google Scholar 

  • Schunk, D. H., & Greene, J. A. (2018). Handbook of self-regulation of learning and performance (2nd ed.). Routledge. https://doi.org/10.4324/9781315697048

    Book  Google Scholar 

  • Shute, V. (2008). Focus on formative feedback. Review of Educational Research, 78(1), 153–189. https://doi.org/10.3102/0034654307313795

    Article  Google Scholar 

  • Skinner, E. A., Furrer, C., Marchand, G., & Kindermann, T. (2008). Engagement and disaffection in the classroom: Part of a larger motivational dynamic? Journal of Educational Psychology, 100, 765–781. https://doi.org/10.1177/0013164408323233

    Article  Google Scholar 

  • Spruce, R., & Bol, L. (2015). Teacher beliefs, knowledge, and practice of self-regulated learning. Metacognition and Learning, 10(2), 245–277. https://doi.org/10.1007/s11409-014-9124-0

    Article  Google Scholar 

  • Stiggins, R. (2005). From formative assessment to assessment for learning: A path to success in standards–based schools. The Phi Delta Kappan, 87(4), 324–328. https://doi.org/10.1177/003172170508700414

    Article  Google Scholar 

  • Suveg, C., Davis, M., & Jones, A. (2015). Emotion regulation interventions for youth with anxiety disorders. In T. J. Cleary (Ed.), Self-regulated learning interventions with at-risk youth: enhancing adaptability, performance, and well-being (pp. 137–156). American Psychological Association. http://www.jstor.org/stable/j.ctv1chrrn8.12

    Chapter  Google Scholar 

  • Tonks, S. M., & Taboada, A. (2011). Developing self-regulated readers through instruction for reading engagement. In B. J. Zimmerman & D. H. Schunk (Eds.), Handbook of self-regulation of learning and performance (pp. 173–186). Routledge.

    Google Scholar 

  • Vohs, K. D., & Baumeister, R. F. (2016). Handbook of self-regulation: Research, theory, and applications (3rd ed.). The Guilford Press.

    Google Scholar 

  • Wehmeyer, M. L., Agran, M., & Hughes, C. A. (2000). National survey of teachers’ promotion of self-determination and student-directed learning. Journal of Special Education, 34, 56–68. https://doi.org/10.1177/002246690003400201

    Article  Google Scholar 

  • Weinstein, C. E., Palmer, D. R., & Shulte, A. C. (2002). LASSI user’s manual (2nd ed.). H & H.

    Google Scholar 

  • Wiggins, G. (2012). Seven keys to effective feedback. Educational Leadership, 70(1), 10–16.

    Google Scholar 

  • Winne, P. H., & Hadwin, A. F. (1998). Studying as self-regulated learning. In D. J. Hacker, J. Dunlosky, & A. C. Graesser (Eds.), Metacognition in educational theory and practice (pp. 27–30). Routledge Taylor & Francis Group.

    Google Scholar 

  • Winne, P. H., & Perry, N. E. (2000). Measuring self-regulated learning. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 531–566). Academic Press. https://doi.org/10.1016/B978-012109890-2/50045-7

    Chapter  Google Scholar 

  • Wolters, C. A. (2003). Regulation of motivation: Evaluating an underemphasized aspect of self-regulated learning. Educational Psychologist, 38(4), 189–205. https://doi.org/10.1207/S15326985EP3804_1

    Article  Google Scholar 

  • 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. 13–39). Academic Press. https://doi.org/10.1016/B978-012109890-2/50031-7

    Chapter  Google Scholar 

  • Zimmerman, B. J., & Schunk, D. H. (2001). Self-regulated learning and academic achievement: Theoretical perspectives (2nd ed.). Lawrence Erlbaum Associates. https://doi.org/10.1007/978-1-4612-3618-4

    Book  Google Scholar 

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Cleary, T.J., Lui, A.M. (2022). Using Self-Regulated Learning (SRL) Assessment Data to Promote Regulatory Engagement in Learning and Performance Contexts. In: Reschly, A.L., Christenson, S.L. (eds) Handbook of Research on Student Engagement. Springer, Cham. https://doi.org/10.1007/978-3-031-07853-8_9

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