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.
Article
Google Scholar
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.
Google Scholar
Barron, B. (2003). When smart groups fail. Journal of the Learning Sciences, 12(3), 307–359.
Article
Google Scholar
Benjamini, Y., Krieger, A. M., & Yekutieli, D. (2006). Adaptive linear step-up procedures that control the false discovery rate. Biometrika, 93, 491–507.
Article
Google Scholar
Burgoon, J. K., Dillman, L., & Stern, L. (1993). Adaptation in dyadic interaction. Communication Theory, 3, 295–316.
Article
Google Scholar
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.
Google Scholar
Chi, M. (2009). Active-constructive-interactive. Topics in Cognitive Science, 1(1), 73–105.
Chi, M.T.H., Siler, S., Jeong, H., Yamauchi, T., & Hausmann, R. (2001). Learning from human tutoring. Cognitive Science, 25, 471–534.
Google Scholar
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.
Google Scholar
Chiu, M. M., & Khoo, L. (2003). Rudeness and status effects during group problem solving. Journal of Educational Psychology, 95, 506–523.
Google Scholar
Chiu, M. M., & Khoo, L. (2005). A new method for analyzing sequential processes: Dynamic multi-level analysis. Small Group Research, 36, 600–631.
Google Scholar
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.
Google Scholar
Cohen, E. G. (1994). Restructuring the classroom: conditions for productive small groups. Review of Educational Research, 64(1), 1–35.
Article
Google Scholar
Craik, F., & Lockhart, R. (1972). Levels of processing: a framework for memory research. Journal of Verbal Thinking and Verbal Behavior, 11, 671–684.
Article
Google Scholar
Davis, E. A., & Linn, M. (2000). Scaffolding students’ knowledge integration; Prompts for reflection in KIE. International Journal of Science Education, 22(8), 819–837.
Article
Google Scholar
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.
Article
Google Scholar
Dillenbourg, P. (1999). What do you mean by collaborative learning? In P. Dillenbourg (Ed.), Collaborative-learning (pp. 1–19). Oxford: Elsevier.
Google Scholar
Efklides, A. (2008). Metacognition. European Psychologist, 13, 277–287.
Article
Google Scholar
Flavell, J. H. (1979). Metacognition and cognitive monitoring: a new area of cognitive-developmental inquiry. American Psychologist, 34(10), 906–911.
Article
Google Scholar
Fleiss, J. (1981). Statistical examples for rates and proportions. New York: Wiley.
Google Scholar
Franke, R. H., & Kaul, J. D. (1978). The Hawthorne experiments: first statistical interpretation. American Sociological Review, 43, 623–643.
Article
Google Scholar
Gee, J. P. (2005). An introduction to discourse analysis: Theory and method. London: Routledge.
Google Scholar
Goldstein, H. (1995). Multilevel statistical models. Sydney: Edward Arnold.
Google Scholar
Hadwin, A., & Oshige, M. (2011). Self-regulation, co-regulation, and socially shared regulation. Teachers College Record, 113(6).
Huedo-Medina, T. B., Sanchez-Meca, J., Marin-Martinez, F., & Botella, J. (2006). Assessing heterogeneity in meta-analysis: Q statistic or I2 index? Psychological Methods, 11, 193–206.
Google Scholar
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.
Article
Google Scholar
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.
Google Scholar
Järvelä, S., & Hadwin, A. (2013). New frontiers: regulating learning in CSCL. Educational Psychologist, 48, 25–39.
Article
Google Scholar
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.
Article
Google Scholar
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.
Google Scholar
Kennedy, P. (2008). A guide to econometrics. Cambridge: Blackwell.
Google Scholar
King, A. (1998). Transactive peer tutoring: distributing cognition and metacognition. Educational Psychology Review, 10(1), 57–74.
Article
Google Scholar
King, A. (2002). Structuring peer interaction to promote high-level cognitive processing. Theory Into Practice, 41(1), 33–39.
Article
Google Scholar
King, G., & Zeng, L. (2001). Logistic regression in rare events data. Political Analysis, 9, 137–163.
Article
Google Scholar
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.
Article
Google Scholar
Krippendorff, K. (2004). Content analysis. Thousand Oaks: Sage.
Google Scholar
Lin, L., & Zabrucky, K. M. (1998). Calibration of comprehension: research and implications for education and instruction. Contemporary Educational Psychology, 23, 345–391.
Article
Google Scholar
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.
Google Scholar
MacKinnon, D. P., Lockwood, C. M., & Williams, J. (2004). Confidence limits for the indirect effect. Multivariate Behavioral Research, 39, 99–128.
Article
Google Scholar
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.
Google Scholar
McGrath, J. E. (1991). Time, interaction, and performance (TIP): a theory of groups. Small Group Research, 22(2), 147–174.
Article
Google Scholar
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.
Article
Google Scholar
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.
Molenaar, I., & Roda, C. (2008). Attention management for dynamic and adaptive scaffolding. Pragmatics & Cognition, 16(2), 224–271.
Google Scholar
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.
Google Scholar
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.
Nelson, T. O. (1996). Consciousness and metacognition. American Psychologist, 51, 102–116.
Article
Google Scholar
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.
Chapter
Google Scholar
Pieschl, S. (2009). Metacognitive calibration - an extended conceptualization and potential applications. Metacognition and Learning, 4(1), 3–31.
Article
Google Scholar
Reimann, P. (2009). Time is precious. International Journal of Computer-Supported Collaborative Learning, 3, 239–257.
Article
Google Scholar
Reiser, B. J. (2004). Scaffolding complex learning: the mechanisms of structuring and problematizing student work. Journal of the Learning Sciences, 13(3), 273–304.
Article
Google Scholar
Salomon, G. (1993). Distributed cognitions. Cambridge: Cambridge University Press.
Google Scholar
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.
Chapter
Google Scholar
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.
Google Scholar
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.
Volet, S., Vauras, M., & Salonen, P. (2009a). Self- and social regulation in learning contexts: an integrative perspective. Educational Psychologist, 44(4), 215–226.
Article
Google Scholar
Volet, S. E., Summers, M., & Thurman, J. (2009b). High-level co-regulation in collaborative learning. Learning and Instruction, 19(2), 128–143.
Article
Google Scholar
Vygotsky, L. S. (1978). Mind in society. Cambridge: Harvard University Press.
Google Scholar
Webb, N. M., Nemer, K. M., & Zuniga, S. (2002). Short circuits or superconductors? American Educational Research Journal, 39, 943–989.
Article
Google Scholar
Weinberger, A., & Fischer, F. (2006). A framework to analyze argumentative knowledge construction in computer-supported collaborative learning. Computers & Education, 46, 71–95.
Article
Google Scholar
Wilson, J. M., Straus, S. G., & McEvily, B. (2006). All in due time. Organizational Behavior and Human Decision Processes, 99, 16–33.
Article
Google Scholar
Winne, P. H. (2010). Improving measurements of self-regulated learning. Educational Psychologist, 45, 267–276.
Article
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. 277–304). Mahwah: Lawrence Erlbaum Associates.
Google Scholar
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.
Google Scholar
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.
Article
Google Scholar
Zimmerman, B. J. (2002). Becoming a self-regulated learner: an overview. Theory into Practice, 42(2), 64–70.
Google Scholar