Abstract
In this paper, we argue that how we use theories may be preventing us from developing a deeper understanding of computer supported collaborative learning (CSCL) contexts. We focus the argument on our understanding of orchestration processes and draw on common theories to show how they prioritize a mono-ecological approach: the examination of collaborative processes at a single level of an ecological system. We argue that doing so prevents us from seeing the full complexity of the types of decisions that teachers and learners make when implementing collaborative learning activities in technologically enhanced, real-world contexts. To address this problem, we propose a micro-ecological framework that recognizes collaborative learning as a complex, cognitively nested, ecological phenomenon and analyzes interactions in a way that aligns with this view. Our approach focuses on the microanalysis of interactions between individuals, learning objects, the small group, and the classroom community. The purpose of this analysis is to identify critical points in the learning process where actions at one level of cognitive activity propagate to influence other levels of individual and joint activity. We call these events transecological disruptions. We argue that these disruptions can provide opportunities to understand how the learning ecology develops over time through teacher orchestration and learner engagement. To illustrate our framework, we pursue the following research question: “How can a micro-ecological framework help us better understand the CSCL ecology?”
References
Akkerman, S., Vandenbossche, P., Admiraal, W., Gijselaers, W., Segers, M., Simons, R., & Kirschner, P. (2007). Reconsidering group cognition: From conceptual confusion to a boundary area between cognitive and socio-cultural perspectives? Educational Research Review, 2(1), 39–63.
Arvaja, M. (2007). Contextual perspective in analysing collaborative knowledge construction of two small groups in web-based discussion. International Journal of Computer-Supported Collaborative Learning, 2(2-3), 133–158.
Barron, B. (2003). When smart groups fail. The Journal of the Learning Sciences, 12(3), 307–359.
Barron, B., Martin, C. K., Mercier, E., Pea, R., Steinbock, D., Walter, S., et al. (2009). Repertoires of collaborative practice. In Proceedings of the 9th International Conference on Computer Supported Collaborative Learning - CSCL’09 (pp. 25–27). https://doi.org/10.3115/1599503.1599513.
Borge, M., & White, B. (2016). Toward the development of socio-metacognitive expertise: An approach to developing collaborative competence. Cognition and Instruction, 34(4), 323–360.
Borge, M., Ong, Y. S., & Rosé, C. P. (2018). Learning to monitor and regulate collective thinking processes. International Journal of Computer-Supported Collaborative Learning, 13(1), 61–92.
Bronfenbrenner, U. (1974). Is early intervention effective? Early Childhood Education Journal, 2(2), 14–18.
Bronfenbrenner, U. (1977). Toward an experimental ecology of human development. American Psychologist, 32(7), 513–531.
Bronfenbrenner, U. (1986). Ecology of the family as a context for human development: Research perspectives. Developmental Psychology, 22(6), 723–742.
Chounta, I. A., & Avouris, N. (2016). Towards the real-time evaluation of collaborative activities: Integration of an automatic rater of collaboration quality in the classroom from the teacher’s perspective. Education and Information Technologies, 21(4), 815–835.
Clegg, T., Yip, J. C., Ahn, J., Bonsignore, E., Gubbels, M., Lewittes, B., & Rhodes, E. (2013). When face-to-face fails: Opportunities for social media to foster collaborative learning. In Tenth International Conference on Computer Supported Collaborative Learning (pp. 272–276).
Damşa, C. I., & Ludvigsen, S. (2016). Learning through interaction and co-construction of knowledge objects in teacher education. Learning, Culture and Social Interaction, 11, 1–18.
Dessus, P., Cosnefroy, O., & Luengo, V. (2016). “Keep your eyes on’em all!”: A Mobile eye-tracking analysis of teachers’ sensitivity to students. In European Conference on Technology Enhanced Learning (pp. 72–84). Cham: Springer.
Dillenbourg, P., Järvelä, S., & Fischer, F. (2009). The evolution of research on computer-supported collaborative learning. In N. Balacheff, S. Ludvigsen, T. Jong, A. Lazonder, & S. Barnes (Eds.), Technology-enhanced learning (pp. 3–19). Dordrecht: Springer Netherlands.
Dimitriadis, Y. A. (2012). Supporting teachers in orchestrating CSCL classrooms. In Research on e-learning and ICT in education (pp. 71–82). New York: Springer.
Edmondson, A. (1999). Psychological safety and learning behavior in work teams. Administrative Science Quarterly, 44, 350–352.
Grant, L. (2009). ‘I DON’T CARE DO UR OWN PAGE!‘A case study of using wikis for collaborative work in a UK secondary school. Learning, Media and Technology, 34(2), 105–117.
Greeno, J. G., Collins, A. M., & Resnick, L. B. (1996). Cognition and learning. In D. Berliner & R. Calfee (Eds.), Handbook of educational psychology (pp. 15–46). New York: Macmillan.
Guzdial, M., Ludovice, P., Realff, M., Morley, T., & Carroll, K. (2002). When collaboration doesn’t work. In Proceedings of the International Conference of the Learning Sciences (pp. 125–130).
Herrenkohl, L. R., & Mertl, V. (2010). How students come to be, know, and do: A case for a broad view of learning. New York: Cambridge University Press.
Hmelo, C. E., Guzdial, M., & Turns, J. (1998). Computer-support for collaborative learning: Learning to support student engagement. Journal of Interactive Learning Research, 9(2), 107–129.
Hogan, K. (1999). Thinking aloud together: A test of an intervention to foster students' collaborative scientific reasoning. Journal of Research in Science Teaching, 36(10), 1085–1109.
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.
Kerr, N., & Tindale, S. (2004). Group performance and decision making. Annual Review of Psychology, 55(1), 623–655.
Kozlowski, S., & Ilgen, D. (2006). Enhancing the effectiveness of work groups and teams. Psychological Science in the Public Interest, 7(3), 77–124.
McGrath, R. (1999). Falling forward: Real options reasoning and entrepreneurial failure. Academy of Management Review, 24(1), 13–30.
Mercier, E., & Higgins, S. E. (2015). The four Ts of the collaborative classroom. In CEUR Workshop Proceedings (Vol. 1411, pp. 15–19).
Nathan, M. J., & Alibali, M. W. (2010). Learning sciences. Wiley Interdisciplinary Reviews: Cognitive Science, 1(3), 329–345.
Norman, D. A. (1986). Cognitive engineering. In D. A. Norman & S. W. Draper (Eds.), User- centered system design (pp. 31–61). Hillsdale: Lawrence Erlbaum Associates.
Norman, D. (2013). The design of everyday things: Revised and expanded edition. New York: Basic books.
Prieto, L. P., Sharma, K., Wen, Y., & Dillenbourg, P. (2015). The burden of facilitating collaboration: Towards estimation of teacher orchestration load using eye-tracking measures. In Proceedings of the 11th International Conference on Computer-Supported Collaborative Learning (CSCL 2015) (pp. 212–219). Sweden: Gothenburg.
Rodríguez-Triana, M. J., Prieto, L. P., Vozniuk, A., Boroujeni, M. S., Schwendimann, B. A., Holzer, A., & Gillet, D. (2017). Monitoring, awareness and reflection in blended technology enhanced learning: A systematic review. International Journal of Technology Enhanced Learning, 9(2–3), 126–150.
Roschelle, J., & Teasley, S. D. (1995). The construction of shared knowledge in collaborative problem solving. In C. E. O'Malley (Ed.), Computer-supported collaborative learning (pp. 69–97). New York: Springer.
Roschelle, J., Dimitriadis, Y., & Hoppe, U. (2013). Computers & education classroom orchestration : Synthesis. Computers & Education, 69, 523–526.
Schwarz, B. B., Prusak, N., Swidan, O., Livny, A., Gal, K., & Segal, A. (2018). Orchestrating the emergence of conceptual learning: A case study in a geometry class. International Journal of Computer-Supported Collaborative Learning, 13(2), 189–211.
Sharma, K., Jermann, P., Dillenbourg, P., Prieto, L. P., D’Angelo, S., Gergle, D., ... & Rummel, N. (2017). CSCL and eye-tracking: Experiences, opportunities and challenges. In B. K. Smith, M. Borge, E. Mercier, & K. Y. Lim (Vol. Eds.), Making a difference: Prioritizing equity and access in CSCL: 12th International Conference on Computer-Supported Collaborative Learning: Vol. I, (pp. 727–728). ISLS
Stahl, G. (2006). Group cognition: Computer support for building collaborative knowledge. Cambridge: MIT Press.
Stahl, G. (2013). Theories of collaborative cognition: Foundations for CSCL and CSCW together. In Computer-supported collaborative learning at the workplace (pp. 43–63). Boston, MA: Springer.
Tudge, J. R., Payir, A., Merçon-Vargas, E., Cao, H., Liang, Y., Li, J., & O'Brien, L. (2016). Still misused after all these years? A reevaluation of the uses of Bronfenbrenner's bioecological theory of human development. Journal of Family Theory & Review, 8(4), 427–445.
Van der Panne, G., van Beers, C., & Kleinknect, A. (2003). Success and failure of innovation: A literature review. International Journal of Innovation Management, 7(3), 1–29.
Wise, A. F., & Schwarz, B. B. (2017). Visions of CSCL: Eight provocations for the future of the field. International Jounral of Computer Supported Collaborative Learning, 12(4), 423–467.
Zurita, G., & Nussbaum, M. (2004). Computer supported collaborative learning using wirelessly interconnected handheld computers. Computers & Education, 42(3), 289–314.
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Borge, M., Mercier, E. Towards a micro-ecological approach to CSCL. Intern. J. Comput.-Support. Collab. Learn 14, 219–235 (2019). https://doi.org/10.1007/s11412-019-09301-6
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DOI: https://doi.org/10.1007/s11412-019-09301-6