Dissecting sequences of regulation and cognition: Statistical discourse analysis of primary school children's collaborative learning

Metacognition and Learning

Volumn 9, Issue 2, 2014, Pages 137-160

  Molenaar, Inge ^a   Chiu, Ming Ming ^b  

^a RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

^b UNIVERSITY AT BUFFALO   (United States)

Author keywords

Collaborative learning; Discourse analysis; Elementary education; Metacognition; Process analysis; Scaffolding; Temporal analysis

Indexed keywords

EID: 84906094843     PISSN: 15561623     EISSN: 15561631     Source Type: Journal    
DOI: 10.1007/s11409-013-9105-8     Document Type: Article

References (66)

1. Azevedo, R., & Green, J. A. (2010). The measurement of learners'self-regulated cognitive and metacognitive processes while using computer-based learning enviroments. Educational Psychologist, 45, 203-209.
2. Baker, M. J., de Vries, E., Lund, K., & Quignard, M. (2001). Computer-mediated epistemic interactions for co-constructing scientific notions. In P. Dillenbourg, A. Eurelings, & K. Hakkarainen (Eds.), Proceedings of EuroCSCL 2001 (pp. 89-96). Maastricht: Maastricht McLuhan Institute.
3. Barron, B. (2003). When smart groups fail. Journal of the Learning Sciences, 12(3), 307-359.
4. Benjamini, Y., Krieger, A. M., & Yekutieli, D. (2006). Adaptive linear step-up procedures that control the false discovery rate. Biometrika, 93, 491-507.
5. Burgoon, J. K., Dillman, L., & Stern, L. (1993). Adaptation in dyadic interaction. Communication Theory, 3, 295-316.
6. Chen, G., Chiu, M. M., & Wang, Z. (2012). Social metacognition and the creation of correct, new ideas: A statistical discourse analysis of online mathematics discussions. Computers in Human Behavior, 28(3), 868-880.
7. Chi, M. (2009). Active-constructive-interactive. Topics in Cognitive Science, 1(1), 73-105.
8. Chi, M. T. H., Siler, S., Jeong, H., Yamauchi, T., & Hausmann, R. (2001). Learning from human tutoring. Cognitive Science, 25, 471-534.
9. Chiu, M. M. (2008). Flowing toward correct contributions during groups' mathematics problem solving: A statistical discourse analysis. Journal of the Learning Sciences, 17(3), 415-463.
10. Chiu, M. M., & Khoo, L. (2003). Rudeness and status effects during group problem solving. Journal of Educational Psychology, 95, 506-523.
11. Chiu, M. M., & Khoo, L. (2005). A new method for analyzing sequential processes: Dynamic multi-level analysis. Small Group Research, 36, 600-631.
12. Clark, H. H., & Brennan, S. E. (1991). Grounding in communication. In L. B. Resnick, R. M. Levine, & S. D. Teasley (Eds.), Perspectives on socially shared cognition. Washington, DC: American Psychological Association.
13. Cohen, E. G. (1994). Restructuring the classroom: conditions for productive small groups. Review of Educational Research, 64(1), 1-35.
14. Craik, F., & Lockhart, R. (1972). Levels of processing: a framework for memory research. Journal of Verbal Thinking and Verbal Behavior, 11, 671-684.
15. Davis, E. A., & Linn, M. (2000). Scaffolding students' knowledge integration; Prompts for reflection in KIE. International Journal of Science Education, 22(8), 819-837.
16. De Bruin, A. B. H., Theide, K. W., Camp, G., & Redford, J. (2011). Generating keywords improves metacomprehension and self-regulation in elementary and middle school children. Journal of Experimental Child Psychology, 109(3), 294-310.
17. Dillenbourg, P. (1999). What do you mean by collaborative learning? In P. Dillenbourg (Ed.), Collaborative-learning (pp. 1-19). Oxford: Elsevier.
18. Efklides, A. (2008). Metacognition. European Psychologist, 13, 277-287.
19. Flavell, J. H. (1979). Metacognition and cognitive monitoring: a new area of cognitive-developmental inquiry. American Psychologist, 34(10), 906-911.
20. Fleiss, J. (1981). Statistical examples for rates and proportions. New York: Wiley.
21. Franke, R. H., & Kaul, J. D. (1978). The Hawthorne experiments: first statistical interpretation. American Sociological Review, 43, 623-643.
22. Gee, J. P. (2005). An introduction to discourse analysis: Theory and method. London: Routledge.
23. Goldstein, H. (1995). Multilevel statistical models. Sydney: Edward Arnold.
24. Hadwin, A., & Oshige, M. (2011). Self-regulation, co-regulation, and socially shared regulation. Teachers College Record, 113(6).
25. 2 index? Psychological Methods, 11, 193-206.
26. Iiskala, T., Vauras, M., Lehtinen, E., & Salonen, P. (2011). Socially shared metacognition within primary school pupil dyads' collaborative processes. Learning and Instruction, 21, 379-393.
27. Janssen, J., Erkens, G., Kirschner, P. A., & Kanselaar G. (2012). Task-related and social regulation during online collaborative learning. Metacognition and Learning, 7(1), 25-43.
28. Järvelä, S., & Hadwin, A. (2013). New frontiers: regulating learning in CSCL. Educational Psychologist, 48, 25-39.
29. Jehn, K. A., & Shah, P. P. (1997). Interpersonal relationships and task performance: an examination of mediation processes in friendship and acquaintance groups. Journal of Personality and Social Psychology, 72, 775-790.
30. Kempler, T. M., & Linnenbrink, E. A. (2006). Helping behaviors in collaborative groups in math: A descriptive analysis. In S. Karabenick & R. Newman (Eds.), Help seeking in academic settings: Goals, groups, and context (pp. 89-115). Mahwah: Erlbaum.
31. Kennedy, P. (2008). A guide to econometrics. Cambridge: Blackwell.
32. King, A. (1998). Transactive peer tutoring: distributing cognition and metacognition. Educational Psychology Review, 10(1), 57-74.
33. King, A. (2002). Structuring peer interaction to promote high-level cognitive processing. Theory Into Practice, 41(1), 33-39.
34. King, G., & Zeng, L. (2001). Logistic regression in rare events data. Political Analysis, 9, 137-163.
35. Kreijns, K., Kirschner, P. A., & Jochems, W. (2003). Identifying the pitfalls for social interaction in computer-supported collaborative learning environments: a review of the research. Computers in Human Behavior, 19, 335-353.
36. Krippendorff, K. (2004). Content analysis. Thousand Oaks: Sage.
37. Lin, L., & Zabrucky, K. M. (1998). Calibration of comprehension: research and implications for education and instruction. Contemporary Educational Psychology, 23, 345-391.
38. Lu, J., Chiu, M. M., & Law, N. (2011). Collaborative argumentation and justifications: A statistical discourse analysis of online discussions. Computers in Human Behavior, 27, 946-955.
39. MacKinnon, D. P., Lockwood, C. M., & Williams, J. (2004). Confidence limits for the indirect effect. Multivariate Behavioral Research, 39, 99-128.
40. Massey, A. P., Montoya-Weiss, M. M., & Hung, Y. (2003). Because time matters: temporal coordination in global virtual teams. Journal of Management Information Systems, 19, 129-155.
41. McGrath, J. E. (1991). Time, interaction, and performance (TIP): a theory of groups. Small Group Research, 22(2), 147-174.
42. Meijer, J., Veenman, M. V., & van Hout-Wolters, B. H. (2006). Metacognitive activities in text-studying and problem-solving: development of a taxonomy. Educational Research and Evaluation, 12(3), 209-237.
43. Molenaar, I. (2003). Exploration-net: Online collaboration. In D. Lassner & C. McNaught (Eds.), Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications (pp. 398-400). Chesapeake, VA: AACE.
44. Molenaar, I., & Roda, C. (2008). Attention management for dynamic and adaptive scaffolding. Pragmatics & Cognition, 16(2), 224-271.
45. Molenaar, I., Chiu, M. M., Sleegers, P. J. C., & van Boxtel, C. A. M. (2011a). Scaffolding of Small Groups' Metacognitive Activities with an Avatar. International Journal of Computer Supported Collaborative Learning, 6(4), 601-624.
46. Molenaar, I., van Boxtel, C. A. M., & Sleegers, P. J. C. (2011b). Metacognitive Scaffolding in an Innovative Learning Arrangement. Instructional Science, 39(6), 785-803.
47. Nelson, T. O. (1996). Consciousness and metacognition. American Psychologist, 51, 102-116.
48. Nijstad, B. A., Diehl, M., & Stroebe, W. (2003). Cognitive stimulation and interference in idea generating groups. In P. B. Paulus & B. A. Nijstad (Eds.), Group creativity: Innovation through collaboration (pp. 137-159). New York: Oxford University Press.
49. Pieschl, S. (2009). Metacognitive calibration - an extended conceptualization and potential applications. Metacognition and Learning, 4(1), 3-31.
50. Reimann, P. (2009). Time is precious. International Journal of Computer-Supported Collaborative Learning, 3, 239-257.
51. Reiser, B. J. (2004). Scaffolding complex learning: the mechanisms of structuring and problematizing student work. Journal of the Learning Sciences, 13(3), 273-304.
52. Salomon, G. (1993). Distributed cognitions. Cambridge: Cambridge University Press.
53. van Boxtel, C. (2004). Studying peer interaction from three perspectives. In J. L. van der Linden & P. Renshaw (Eds.), Dialogic learning (pp. 125-144). Dordrecht: Kluwer.
54. Veenman, M. V. J. (2005). The assessment of metacognitive skills. In C. Artelt & B. Moschner (Eds.), Lernstrategien und Metakognition: Implikationen für Forschung und Praxis (pp. 75-97). Berlin: Waxmann.
55. Veldhuis-Diermanse, A. E. (2002). CSCLearning? Participation, learning activities and knowledge construction in computer-supported collaborative learning in higher education. Unpublished PhD thesis, Wageningen University, The Netherlands.
56. Volet, S., Vauras, M., & Salonen, P. (2009a). Self- and social regulation in learning contexts: an integrative perspective. Educational Psychologist, 44(4), 215-226.
57. Volet, S. E., Summers, M., & Thurman, J. (2009b). High-level co-regulation in collaborative learning. Learning and Instruction, 19(2), 128-143.
58. Vygotsky, L. S. (1978). Mind in society. Cambridge: Harvard University Press.
59. Webb, N. M., Nemer, K. M., & Zuniga, S. (2002). Short circuits or superconductors? American Educational Research Journal, 39, 943-989.
60. Weinberger, A., & Fischer, F. (2006). A framework to analyze argumentative knowledge construction in computer-supported collaborative learning. Computers & Education, 46, 71-95.
61. Wilson, J. M., Straus, S. G., & McEvily, B. (2006). All in due time. Organizational Behavior and Human Decision Processes, 99, 16-33.
62. Winne, P. H. (2010). Improving measurements of self-regulated learning. Educational Psychologist, 45, 267-276.
63. 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. 277-304). Mahwah: Lawrence Erlbaum Associates.
64. Wise, A., & Chiu, M. M. (2011). Analyzing temporal patterns of knowledge construction in a role-based online discussion. International Journal of Computer-Supported Collaborative Learning, 6, 445-470.
65. Wood, D., Bruner, J., & Ross, G. (1976). The role of tutoring in problem solving. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 17, 89-100.
66. Zimmerman, B. J. (2002). Becoming a self-regulated learner: an overview. Theory into Practice, 42(2), 64-70.