Abstract
Self-regulation has been shown as a critical factor in learning in a regular classroom environment (e.g. Wolters and Pintrich in Instr Sci 26(1):27–47, 1998. doi:10.1023/A:1003035929216). However, little research has been conducted to understand self-regulation in the context of collaboration (Dinsmore et al. in Educ Psychol Rev 20(4):391–409, 2008. doi:10.1007/s10648-008-9083-6). Recently, researchers have been exploring how learners regulate themselves in collaborative problem-solving environments using qualitative methods (e.g. Chan in Metacogn Learn 7(1):63–73, 2012. doi:10.1007/s11409-012-9086-z; Lajoie and Lu in Metacogn Learn, 2011. doi:10.1007/s11409-011-9077-5). However, there is a lack of instruments to measure self-regulation in a collaborative context (SRCC). Therefore, the current study was intended to propose a new instrument to measure SRCC. One hundred and thirty-one college students from a Midwestern university completed a survey for SRCC after participating in a collaborative problem-solving task. The exploratory factor analysis yielded four factors: clarification and resolution, elaboration, refuting, and summarization. Three of the four factors were moderately correlated. The results contribute to our understanding of self-regulation in a collaborative context, which allows researchers to study this phenomenon quantitatively.
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References
Alexander, P. A. (1995). Superimposing a situation-specific and domain-specific perspective on an account of self-regulated learning. Educational Psychologist, 30(4), 189–193. doi:10.1207/s15326985ep3004_3.
Azevedo, R., Cromley, J. G., & Seibert, D. (2004). Does adaptive scaffolding facilitate students’ ability to regulate their learning with hypermedia? Contemporary Educational Psychology, 29(3), 344–370. doi:10.1016/j.cedpsych.2003.09.002.
Boekaerts, M. (1997). Self-regulated learning: A new concept embraced by researchers, policy makers, educators, teachers, and students. Learning and Instruction, 7(2), 161–186. doi:10.1016/S0959-4752(96)00015-1.
Butler, D. L., & Winne, P. H. (1995). Feedback and self-regulated learning: A theoretical synthesis. Review of Educational Research, 65(3), 245–281. doi:10.3102/00346543065003245.
Chan, C. K. K. (2012). Co-regulation of learning in computer-supported collaborative learning environments: A discussion. Metacognition and Learning, 7(1), 63–73. doi:10.1007/s11409-012-9086-z.
Chiu, M. M., & Kuo, S. W. (2009). From metacognition to social metacognition. Journal of Education Research, 3(4), 321–338.
Cho, M.-H., & Jonassen, D. (2009). Development of the human interaction dimension of the self-regulated learning questionnaire in asynchronous online learning environments. Educational Psychology, 29(1), 117–138. doi:10.1080/01443410802516934.
Dabbagh, N., & Kitsantas, A. (2005). Using web-based pedagogical tools as scaffolds for self-regulated learning. Instructional Science, 33(5), 513–540. doi:10.1007/s11251-005-1278-3.
Dinsmore, D., Alexander, P., & Loughlin, S. (2008). Focusing the conceptual lens on metacognition, self-regulation, and self-regulated learning. Educational Psychology Review, 20(4), 391–409. doi:10.1007/s10648-008-9083-6.
Efklides, A. (2008). Metacognition: Defining its facets and levels of functioning in relation to self-regulation and co-regulation. European Psychologist, 13(4), 277–287. doi:10.1027/1016-9040.13.4.277.
Fawcett, L. M., & Garton, A. F. (2005). The effect of peer collaboration on children’s problem-solving ability. British Journal of Educational Psychology, 75(2), 157–169. doi:10.1348/000709904x23411.
Ge, X. (2001). Scaffolding students’ problem-solving processes in an ill-structured task using question prompts and peer interactions. (Ph.D. Doctoral Dissertation), The Pennsylvania State University, State College, PA.
Ge, X., & Land, S. (2003). Scaffolding students’ problem-solving processes in an ill-structured task using question prompts and peer interactions. Educational Technology Research and Development, 51(1), 21–38. doi:10.1007/BF02504515.
Ge, X., & Land, S. M. (2004). A conceptual framework for scaffolding iii-structured problem-solving processes using question prompts and peer interactions. Educational Technology Research and Development, 52(2), 5–22. doi:10.1007/BF02504836.
Gick, M. L. (1986). Problem-solving strategies. Educational Psychologist, 21(1), 99–120. doi:10.1207/s15326985ep2101&2_6.
Goos, M., Galbraith, P., & Renshaw, P. (2002). Socially mediated metacognition: Creating collaborative zones of proximal development in small group problem solving. Educational Studies in Mathematics, 49(2), 193–223. doi:10.1023/a:1016209010120.
Greene, J. A., Hutchison, L. A., Costa, L.-J., & Crompton, H. (2012). Investigating how college students’ task definitions and plans relate to self-regulated learning processing and understanding of a complex science topic. Contemporary Educational Psychology,. doi:10.1016/j.cedpsych.2012.02.002.
Hadwin, A. F., Oshige, M., Gress, C. L. Z., & Winne, P. H. (2010). Innovative ways for using gStudy to orchestrate and research social aspects of self-regulated learning. Computers in Human Behavior, 26(5), 794–805. doi:10.1016/j.chb.2007.06.007.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (6th ed.). Upper Saddle River, NJ: Pearson.
Hurme, T.-R., Merenluoto, K., & Järvelä, S. (2009). Socially shared metacognition of pre-service primary teachers in a computer-supported mathematics course and their feelings of task difficulty: A case study. Educational Research and Evaluation, 15(5), 503–524. doi:10.1080/13803610903444659.
Iiskala, T., Vauras, M., Lehtinen, E., & Salonen, P. (2011). Socially shared metacognition of dyads of pupils in collaborative mathematical problem-solving processes. Learning and Instruction, 21(3), 379–393. doi:10.1016/j.learninstruc.2010.05.002.
Järvelä, S., & Järvenoja, H. (2011). Socially constructed self-regulated learning and motivation regulation in collaborative learning groups. Teachers College Record, 113(2), 350–374.
Järvelä, S., Järvenoja, H., & Veermans, M. (2008). Understanding the dynamics of motivation in socially shared learning. International Journal of Educational Research, 47(2), 122–135. doi:10.1016/j.ijer.2007.11.012.
Järvelä, S., Volet, S., & Järvenoja, H. (2010). Research on motivation in collaborative learning: Moving beyond the cognitive–situative divide and combining individual and social processes. Educational Psychologist, 45(1), 15–27. doi:10.1080/00461520903433539.
Jonassen, D. H. (1997). Instructional design models for well-structured and ill-structured problem-solving learning outcomes. Educational Technology Research and Development, 45(1), 65–94. doi:10.1007/BF02299613.
Kramarski, B., & Gutman, M. (2006). How can self-regulated learning be supported in mathematical E-learning environments? Journal of Computer Assisted learning, 22(1), 24–33. doi:10.1111/j.1365-2729.2006.00157.x.
Lajoie, S., & Lu, J. (2011). Supporting collaboration with technology: Does shared cognition lead to co-regulation in medicine? Metacognition and Learning. doi:10.1007/s11409-011-9077-5.
Manlove, S., Lazonder, A. W., & de Jong, T. (2006). Regulative support for collaborative scientific inquiry learning. Journal of Computer Assisted learning, 22(2), 87–98. doi:10.1111/j.1365-2729.2006.00162.x.
McCaslin, M. (2009). Co-regulation of student motivation and emergent identity. Educational Psychologist, 44(2), 137–146. doi:10.1080/00461520902832384.
OECD. (2013). PISA 2015. Draft collaborative problem solving framework. Retrieved from http://www.oecd.org/pisa/pisaproducts/Draft%20PISA%202015%20Collaborative%20Problem%20Solving%20Framework%20.pdf.
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, CA: Academic Press.
Pintrich, P. R., Smith, D. A. F., Garcia, T., & McKeachie, W. J. (1991). A manual for the use of the motivated strategies for learning questionnaire (MSLQ). Ann Arbor, MI: University of Michigan.
Shin, N., Jonassen, D. H., & McGee, S. (2003). Predictors of well-structured and ill-structured problem solving in an astronomy simulation. Journal of Research in Science Teaching, 40(1), 6–33. doi:10.1002/tea.10058.
Sinnott, J. D. (1989). A model for solution of ill-structured problems: Implications for everyday and abstract problem solving. In J. D. Sinnott (Ed.), Everyday problem solving: Theory and application (pp. 72–99). New York, NY: Praeger.
Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Needham Heights, MA: Allyn & Bacon.
Teasley, S. D., & Roschelle, J. (1993). Constructing a joint problem space: The computer as a tool for sharing knowledge. In S. Derry & S. Lajoie (Eds.), Computers as cognitive tools (pp. 229–257). Hillsdale, NJ: Lawrence Erlbaum Associates.
Volet, S., & Mansfield, C. (2006). Group work at university: Significance of personal goals in the regulation strategies of students with positive and negative appraisals. Higher Education Research & Development, 25, 341–356. doi:10.1080/07294360600947301.
Volet, S., Summers, M., & Thurman, J. (2009). High-level co-regulation in collaborative learning: How does it emerge and how is it sustained? Learning and Instruction, 19(2), 128–143. doi:10.1016/j.learninstruc.2008.03.001.
Voss, J. F., & Post, T. A. (1988). On the solving of ill-structured problems. In M. T. H. Chi & R. Glaser (Eds.), The nature of expertise (pp. 261–285). Hillsdale, NJ: Lawrence Erlbaum Associates.
Webb, M., & Gibson, D. (2015). Technology enhanced assessment in complex collaborative settings. Education and Information Technologies, 20(4), 675–695. doi:10.1007/s10639-015-9413-5.
Whipp, J. L., & Chiarelli, S. (2004). Self-regulation in a web-based course: A case study. Educational Technology Research and Development, 52(4), 5–22.
Winne, P. H. (2010). Improving measurements of self-regulated learning. Educational Psychologist, 45(4), 267–276. doi:10.1080/00461520.2010.517150.
Wolters, C. A., & Pintrich, P. R. (1998). Contextual differences in student motivation and self-regulated learning in mathematics, English, and social studies classrooms. Instructional Science, 26(1), 27–47. doi:10.1023/A:1003035929216.
Zhang, J., Chen, Q., Sun, Y., & Reid, D. J. (2004). Triple scheme of learning support design for scientific discovery learning based on computer simulation: Experimental research. Journal of Computer Assisted Learning, 20(4), 269–282. doi:10.1111/j.1365-2729.2004.00062.x.
Zimmerman, B. J. (1990). Self-regulated learning and academic achievement: An overview. Educational Psychologist, 25(1), 3–17.
Zimmerman, B. J. (2001). Theories of self-regulated learning and academic achievement: An overview and analysis. In B. J. Zimmerman & D. H. Schunk (Eds.), Self-regulated learning and academic achievement: Theoretical perspectives (pp. 1–37). Mahwah, NJ: Lawrence Erlbaum Associates.
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Law, V., Ge, X. & Eseryel, D. The Development of a Self-regulation in a Collaborative Context Scale. Tech Know Learn 21, 243–253 (2016). https://doi.org/10.1007/s10758-016-9274-z
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DOI: https://doi.org/10.1007/s10758-016-9274-z