ENHANCING SELF-REGULATORY SKILLS THROUGH AN INTERVENTION EMBEDDED IN A MIDDLE SCHOOL MATHEMATICS CURRICULUM

Psychology in the Schools

Volumn 53, Issue 6, 2016, Pages 601-616

  Digiacomo, Gregory ^a   Chen, Peggy P ^b  

^a Seattle Public Schools ^*  (United States)

^b CITY UNIVERSITY OF NEW YORK   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84973394963     PISSN: 00333085     EISSN: 15206807     Source Type: Journal    
DOI: 10.1002/pits.21929     Document Type: Article

References (45)

1. Bol, L., & Hacker, D. J. (2001). A comparison of the effects of practice tests versus traditional review on performance and calibration. Journal of Experimental Education, 69, 133–151.
2. Bol, L., Hacker, D. J., O'Shea, P., & Allen, D. (2005). The influence of overt practice, achievement level, and explanatory style on calibration accuracy and performance. Journal of Experimental Education, 73, 269–290.
3. Bol, L., Riggs, R., Hacker D. J., Dickerson, D., & Nunnery, J. A. (2010). The calibration accuracy of middle school students in math classes. Journal of Research in Education, 21, 81–96.
4. Butler, D. L., & Winne, P. H. (1995). Feedback and self-regulated learning: A theoretical synthesis. Review of Educational Research, 65, 245–281.
5. Chen, P. P., & Zimmerman, B. J. (2007). A cross-national comparison study on the accuracy of self-efficacy beliefs of middle-school mathematics students. Journal of Experimental Education, 75, 221–244.
6. Chi, M. T., Bassok, M., Lewis, M. W., & Reimann, P. (1989). Self-explanations: How students study and use examples in learning to solve problems. Cognitive Science, 13, 145–182. doi:10.1207/s15516709cog1302_1
7. 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, 537–550. doi:10.1002/pits.10177
8. Cohen, J. (1988). Statistical power analyses for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates.
9. de Bruin, A. H., & van Gog, T. (2012). Improving self-monitoring and self-regulation: From cognitive psychology to the classroom. Learning and Instruction, 22(4), 245–252. doi:10.1016/j.learninstruc.2012.01.003
10. De Corte, E., Mason, L., Depaepe, F., & Verschaffel, L. (2011). In B. J. Zimmerman, & D. H. Schunk (Eds.), Self-regulation of mathematical knowledge and skills. Handbook of self-regulation of learning and performance (pp. 155–172). New York: Routledge.
11. Dignath, C., Buettner, G., & Langfeldt, H. (2008). How can primary school students learn self-regulated learning strategies most effectively? A meta-analysis on self-regulation training programmes. Educational Research Review, 3, 101–129. doi:10.1016/j.edurev.2008.02.003
12. Dimmitt, C., & McCormick, C. B. (2012). Metacognition in education. In K. R. Harris, S. Graham, T. Urdan, C. B. McCormick, G. M. Sinatra, & J. Sweller (Eds.), APA educational psychology handbook, Vol. 1: Theories, constructs, and critical issues (pp. 157–187). Washington, DC: American Psychological Association. doi:10.1037/13273-007
13. Dinsmore, D. L., & Parkinson, M. M. (2013). What are confidence judgments made of? Student’ explanations for their confidence ratings and what that means for calibration. Learning and Instruction, 24, 4–14, doi:10.1016/j.learninstruc.2012.06.001
14. Dunlosky, J. & Rawson, K. A. (2012). Overconfidence produces underachievement: Inaccurate self evaluations undermine students’ learning and retention. Learning and Instruction, 22(4). doi:10.1016/j.learninstruc.2011.08.003
15. Fuchs, L. S., Fuchs, D., Prentice, K., Burch, M., Hamlett, C. L., Owen, R., & Schroeter, K. (2003). Enhancing third-grade student' mathematical problem solving with self-regulated learning strategies. Journal of Educational Psychology, 95, 306–315. doi:10.1037/0022-0663.95.2.306
16. Glass, G. V., & Hopkins, K. D. (1996). Statistical methods in education and psychology (3rd ed.). Needham Heights, MA: Allyn & Bacon.
17. Hacker, D. J., Bol, L., & Bahabahani, K. (2008). Explaining calibration accuracy in classroom contexts: The effects of incentives, reflection, and explanatory style. Metacognition and Learning, 3, 101–121. doi: 10.1007/s11409-008-9021-5
18. Hacker, D. J., Bol, L., Horgan, D., & Rakow, E. A. (2000). Test prediction and performance in a classroom context. Journal of Educational Psychology, 92, 160–170
19. Hacker, D. J., Bol, L., & Keener, M. C. (2008). Metacognition in education: A focus on calibration. In J. Dunlosky & R. A. Bjork (Eds.), Handbook of metamemory and memory (pp. 429–455). New York, NY: Psychology Press.
20. Harris, K. R., Santangelo, T., & Graham, S. (2008). Self-regulated strategy development in writing: Going beyond NLEs to a more balanced approach. Instructional Science, 36, 395–408.
21. Hattie, J., Biggs, J., & Purdie, N. (1996). Effects of learning skills interventions on student learning: A meta-analysis. Review of Educational Research, 66, 99–136. doi:10.2307/1170605
22. Huff, J. D., & Nietfeld, J. L. (2009). Using strategy instruction and confidence judgments to improve metacognitive monitoring. Metacognition Learning, 4, 161–176.
23. Kitsantas, A., & Zimmerman, B. J. (2006). Enhancing self-regulation of practice: The influence of graphing and self-evaluative standards. Metacognition and Learning, 3, 201–212.
24. Koku, P., & Qureshi, A. (2004). Overconfidence and the performance of business students on examinations. Journal of Education for Business, 79, 217–225.
25. Labuhn, A. S., Zimmerman, B. J., & Hasselhorn, M. (2010). Enhancing students’ self-regulation and mathematics performance: The influence of feedback and self-evaluative standards. Metacognition and Learning, 5, 173–194.
26. Maki, R. H., Foley, J. M., Kajer, W. K., Thompson, R. C., & Willert, M. G. (1990). Increased processing enhances calibration of comprehension. Journal of Experimental Psychology: Learning, Memory, and Cognition, 16, 609–616. doi:10.1037/0278-7393.16.4.609
27. Nation's Report Card. (2013). U.S. Department of Education, Institute of Education Sciences, National Center for Education Statistics, National Assessment of Educational Progress (NAEP), 2013 Mathematics and Reading Assessments. Retrieved June 28, 2013, from http://nces.ed.gov/nationsreportcard/subject/publications/main2013/pdf/2014451.pdf
28. Nietfeld, J. L., Cao, L., & Osborne, J. W. (2005). Metacognitive monitoring accuracy and student performance in the postsecondary classroom. Journal of Experimental Education, 74, 7–28.
29. Nietfeld, J. L., Cao, L., & Osborne, J. W. (2006). The effect of distributed monitoring exercises and feedback on performance, monitoring accuracy, and self-efficacy. Metacognition and Learning, 1, 159–179.
30. Pelham, B. W., & Blanton, H. B. (2013). Conducting research in psychology: Measuring the weight of smoke. Belmont, CA: Wadsworth, Cengage Learning
31. Perels, F., Dignath, C., & Schmitz, B. (2009). Is it possible to improve mathematical achievement by means of self-regulation strategies? Evaluation of an intervention in regular math classes. European Journal of Psychology of Education, 24, 17–31. doi:10.1007/BF03173472
32. Perels, F., Gürtler, T., & Schmitz, B. (2005). Training of self-regulatory and problem-solving competence. Learning and Instruction, 15, 123–139. doi:10.1016/j.learninstruc.2005.04.010
33. Pintrich, P. R. (2000). The role of goal orientation in self-regulated learning. In M. Boekaerts, P. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 452–502). Orlando, FL: Academic Press.
34. Sailor, W. (2009). Making RTI work: How smart schools are reforming education through schoolwide response-to-intervention. San Francisco, CA: Jossey-Bass.
35. Sakiz, G., Pape, S. J., & Hoy, A. W. (2012). Does perceived teacher affective support matter for middle school students in mathematics classrooms? Journal of School Psychology, 50(2), 235–255. doi:10.1016/j.jsp.2011.10.005
36. Schmitz, B., & Perels, F. (2011). Self-monitoring of self-regulation during math homework behaviour using standardized diaries. Metacognition and Learning, 6, 255–273. doi:10.1007/s11409-011-9076-6
37. Schunk, D. H., & Hanson, A. R. (1985). Peer models: Influence on children's self-efficacy and achievement. Journal of Educational Psychology, 77, 313–322. doi:10.1037/0022-0663.77.3.313
38. Schunk, D. H., & Zimmerman, B. J. (Eds.). (1998). Self-regulated learning: From teaching to self-reflective practice. New York: Guilford.
39. Schunk, D. H., & Zimmerman, B. J. (2007). Influencing children's self-efficacy and self-regulation of reading and writing through modeling. Reading & Writing Quarterly, 23, 7–25. doi:10.1080/10573560600837578
40. Stahl, E., Pieschl, S., & Bromme, R. (2006). Task complexity, epistemological beliefs, and metacognitive calibration: An exploratory study. Journal of Educational Computing Research, 35, 319–338.
41. Weiner, B. (1986). An attributional theory of motivation and emotion. New York: Springer-Verlag.
42. Winne, P. H. (2004). Students calibration of knowledge and learning processes: Implications for designing powerful software learning environments. International Journal of Educational Research, 41, 466–488.
43. 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). San Diego: Academic Press.
44. Zimmerman, B. J., & Moylan, A. R. (2009). Self-regulation: Where metacognition and motivation intersect. In D. J. Hacker, J. Dunlosky, & A. C. Graesser (Eds.), Handbook of metacognition in education (pp. 299–315). New York, NY: Routledge/Taylor & Francis Group.
45. Zimmerman, B. J., Moylan, A., Hudesman, J., White, N., & Flugman, B. (2011). Enhancing self reflection and mathematics achievement of at-risk urban technical college students. Psychological Test and Assessment Modeling, 53, 141–160.