Abstract
This chapter examines collaborative learning as cognition at the small-group unit of analysis, and highlights theoretical questions concerning interrelationships among individual, collective, and cultural cognition. CSCL is a theory- and research-based pedagogical vision of what collaborative learning could be like, thanks to innovative computational supports and new ways of thinking about learning. Theories of CSCL are shaped by rapidly evolving digital technologies, pedagogical practices, and research methods. Relevant theories can be categorized as: subjective (individual cognition and learning), intersubjective (interactional meaning making), and inter-objective (networks of learners, tools, artifacts, and practices). Theoretical insights suggest ways of enhancing, supporting, and analyzing cognition and learning by individuals, groups, and communities. The emerging ecology of socio-digital participation—involving students’ daily use of computers, mobile devices, social media, and the Internet—requires extending and synthesizing CSCL theories to conceptualize connected learning at multiple levels.
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References
Akkerman, S., Bossche, P. V. d., Admiraal, W., Gijselaers, W., Segers, M., Simons, R.-J., et al. (2007). Reconsidering group cognition: From conceptual confusion to a boundary area between cognitive and socio-cultural perspectives? Educational Research Review, 2, 39–63.
Bakhtin, M. (1981). The dialogic imagination: Four essays. Austin, TX: University of Texas Press.
Brown, A. (1992). Design experiments: Theoretical and methodological challenges in creating complex interventions in classroom settings. The Journal of the Learning Sciences, 2(2), 141–178.
Chan, C. K. K. (2011). Bridging research and practice: Implementing and sustaining knowledge building in Hong Kong classrooms. International Journal of Computer-Supported Collaborative Learning, 6(2), 147–186.
Chomsky, N. (1959). Review of verbal behavior, by B. F. Skinner. Language, 35(1), 26–57.
Donald, M. (1991). Origins of the modern mind: Three stages in the evolution of culture and cognition. Cambridge, MA: Harvard University Press.
Donald, M. (2001). A mind so rare: The evolution of human consciousness. New York, NY: W. W. Norton.
Engeström, Y. (1987). Learning by expanding: An activity-theoretical approach to developmental research. Helsinki: Orienta-Kosultit Oy.
Engeström, Y., Engeström, R., & Suntio, A. (2002). Can a school community learn to master its own future? In G. W. G. Claxton (Ed.), Learning for life in the 21st century (pp. 211–224). Cambridge, MA: Blackwell.
Fenwick, T., & Edwards, R. (2011). Introduction: Reclaiming and renewing actor network theory for educational research. Educational Philosophy and Theory, 43, 1–14.
Gardner, H. (1985). The mind’s new science: A history of the cognitive revolution. New York, NY: Basic Books.
Garfinkel, H. (1967). Studies in ethnomethodology. Englewood Cliffs, NJ: Prentice-Hall.
Garfinkel, H., & Sacks, H. (1970). On formal structures of practical actions. In J. Mckinney & E. Tiryakian (Eds.), Theoretical sociology: Perspectives and developments (pp. 337–366). New York, NY: Appleton-Century-Crofts.
Gigerenzer, G. (1994). Where do new ideas come from? In M. Boden (Ed.), Dimensions of creativity (pp. 53–74). Cambridge, MA: The MIT Press.
Hakkarainen, K. (2009). A knowledge-practice perspective on technology-mediated learning. International Journal of Computer-Supported Collaborative Learning, 4(2), 213–231.
Hegel, G. W. F. (1807). Phenomenology of spirit. (J. B. Baillie, Trans.) New York, NY: Harper & Row.
Hillman, T., & Säljö, R. (2016). Learning, knowing and opportunities for participation: Technologies and communicative practices. Learning, Media, and Technology, 41, 306–309.
Hutchins, E. (1996). Cognition in the wild. Cambridge, MA: MIT Press.
Ito, M., Gutiérrez, K., Livingstone, S., Penuel, W., Rhodes, J., Salen, K., Schor, J., Sefton-Green, J., & Watkins, S. (2013). Connected learning: An agenda for research and design. Irvine, CA: Digital Media.
Jeong, H., & Hmelo-Silver, C. E. (2016). Seven affordances of computer-supported collaborative learning: How to support collaborative learning? How can technologies help? Educational Psychologist, 51(2), 247–265.
Jeong, H., Hmelo-Silver, C. E., & Yu, Y. (2014). An examination of CSCL methodological practices and the influence of theoretical frameworks 2005–2009. International Journal of Computer-Supported Collaborative Learning, 9(3), 305–334.
Jordan, B., & Henderson, A. (1995). Interaction analysis: Foundations and practice. Journal of the Learning Sciences, 4(1), 39–103.
Kant, I. (1787). Critique of pure reason. Cambridge: Cambridge University Press.
Kienle, A., & Wessner, M. (2006). The CSCL community in its first decade: Development, continuity, connectivity. International Journal of Computer-Supported Collaborative Learning, 1(1), 9–33.
Knorr-Cetina, K. (2001). Objectual practices. In K.-C. T. Schatzki & K. E. Von Savigny (Eds.), The practice turn in contemporary theory (pp. 175–188). London: Routledge.
Latour, B. (1996). On interobjectivity. Mind, Culture and Activity, 3(4), 228–245.
Latour, B. (2007). Reassembling the social: An introduction to actor-network-theory. Cambridge: Cambridge University Press.
Latour, B., & Woolgar, S. (1979). Laboratory life. Thousand Oaks, CA: Sage Publications.
Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. Cambridge: Cambridge University Press.
Lehtinen, E., Hakkarainen, K., Lipponen, L., Rahikainen, M. & Muukkonen, H. (1999). Computer supported collaborative learning: A review of research and development. Cl-net project. The J. H. G. I. Giesbers reports on education (vol 10): Department of Educational Sciences, University of Nijmegen.
Lonchamp, J. (2012). Computational analysis and mapping of ijCSCL content. International Journal of Computer-Supported Collaborative Learning, 7(4), 475–497.
Looi, C.-K., So, H.-J., Toh, Y., & Chen, W. (2011). The Singapore experience: Synergy of national policy, classroom practice and design research. International Journal of Computer-Supported Collaborative Learning, 6(1), 9–37.
Marx, K. (1867). Capital (B. Fowkes, Trans. Vol. I). New York, NY: Vintage.
Medina, R., & Stahl, G. (this volume). Analysis of group practices. In U. Cress, C. Rosé, A. F. Wise, & J. Oshima (Eds.), International handbook of computer-supported collaborative learning. Cham: Springer.
Ng, E., & Bereiter, C. (1995). Three levels of goal orientation in learning. In Ram, A., Leake, D. B., & Leake, D. (Ed.), Goal-driven learning (pp. 355–380). Cambridge, MA: The MIT Press.
Paavola, S., & Hakkarainen, K. (2014). Trialogical approach for knowledge creation. In S.-C. Tan, H.-J. Jo, & J. Yoe (Eds.), Knowledge creation in education (pp. 53–72). New York, NY: Springer.
Paavola, S., & Hakkarainen, K. (this volume). Trialogical learning and object-oriented collaboration. In U. Cress, C. Rosé, A. F. Wise, & J. Oshima (Eds.), International handbook of computer-supported collaborative learning. Cham: Springer.
Packer, M., & Goicoechea, J. (2000). Sociocultural and constructivist theories of learning: Ontology, not just epistemology. Educational Psychologist, 35(4), 227–241.
Panadero, E., & Järvelä, S. (2015). Socially shared regulation of learning: A review. European Psychologist, 20, 190–203.
Rabardel, P., & Bourmaud, G. (2003). From computer to instrument system: A developmental perspective. Interacting with Computers, 15, 665–691.
Ritella, G., & Hakkarainen, K. (2012). Instrumental genesis in technology-mediated learning: From double stimulation to expansive knowledge practices. International Journal of Computer-Supported Collaborative Learning, 7(2), 239–258.
Roth, W. M., & Lee, Y. J. (2007). “Vygotsky’s neglected legacy”: Cultural-historical activity theory. Review of educational research., 77(2), 186–232.
Sacks, H. (1965). Lectures on conversation. Oxford: Blackwell.
Scardamalia, M. (2002). Collective cognitive responsibility for the advancement of knowledge. In B. Smith (Ed.), Liberal education in a knowledge society. Chicago, IL: Open Court.
Scardamalia, M., & Bereiter, C. (1996). Computer support for knowledge-building communities. In T. Koschmann (Ed.), CSCL: Theory and practice of an emerging paradigm (pp. 249–268). Hillsdale, NJ: Lawrence Erlbaum Associates.
Scardamalia, M., & Bereiter, C. (2014). Knowledge building and knowledge creation: Theory, pedagogy and technology. In K. Sawyer (Ed.), Cambridge handbook of the learning sciences (2nd ed.). Cambridge: Cambridge University Press.
Scardamalia, M., & Bereiter, C. (this volume). Knowledge building: Advancing the state of community knowledge. In U. Cress, C. Rosé, A. F. Wise, & J. Oshima (Eds.), International handbook of computer-supported collaborative learning. Cham: Springer.
Schegloff, E. A. (2007). Sequence organization in interaction: A primer in conversation analysis. Cambridge: Cambridge University Press.
Schneider, B., & Pea, R. (2013). Real-time mutual gaze perception enhances collaborative learning and collaboration quality. International Journal of Computer-Supported Collaborative Learning, 8(4), 375–397.
Sfard, A. (1998). On two metaphors for learning and the dangers of choosing just one. Educational Researcher, 27(2), 4–13.
Stahl, G. (2006). Group cognition: Computer support for building collaborative knowledge. Cambridge, MA: MIT Press.
Stahl, G. (2013). Translating Euclid: Designing a human-centered mathematics. San Rafael, CA: Morgan & Claypool Publishers.
Stahl, G. (2016). Constructing dynamic triangles together: The development of mathematical group cognition. Cambridge: Cambridge University Press.
Stahl, G. (2021). Theoretical investigations: Philosophical foundations of group cognition. New York, NY: Springer.
Tang, K.-Y., Tsai, C.-C., & Lin, T.-C. (2014). Contemporary intellectual structure of CSCL research (2006–2013): A co-citation network analysis with an education focus. International Journal of Computer-Supported Collaborative Learning, 9(3), 335–363.
Tomasello, M. (2014). A natural history of human thinking. Cambridge, MA: Harvard University Press.
Vygotsky, L. (1930). Mind in society. Cambridge, MA: Harvard University Press.
Wegerif, R. (2007). Dialogic, education and technology: Expanding the space of learning. New York, NY: Kluwer-Springer.
Weinberger, A., Reiserer, M., Ertl, B., Fischer, F., & Mandl, H. (2005). Facilitating collaborative knowledge construction in computer-mediated learning environments with cooperation scripts. In R. Bromme, F. Hesse, & H. Spada (Eds.), Barriers and biases in computer-mediated knowledge communication—And how they may be overcome. Dordrecht: Kluwer Academic Publisher.
Wise, A., & Schwarz, B. (2017). Visions of CSCL: Eight provocations for the future of the field. International Journal of Computer-Supported Collaborative Learning, 12(4), 423–467.
Zhang, J., Tao, D., Chen, M.-H., Sun, Y., Judson, D., & Nagvi, S. (2018). Co-organizing the collective journey of inquiry with idea thread mapper. The Journal of the Learning Sciences, 27, 390–430.
Further Readings
Donald, M. (1991). Origins of the modern mind: Three stages in the evolution of culture and cognition. Cambridge, MA: Harvard University Press; Donald, M. (2001). A mind so rare: The evolution of human consciousness. New York, NY: W. W. Norton.—In these books, Donald presents culture as a rapid form of human evolution and extends the theory of learning to include external memories provided by digital technology.
Hakkarainen, K. (2009). A knowledge-practice perspective on technology-mediated learning. International Journal of Computer-Supported Collaborative Learning, 4(2), 213–231.—This article generalizes research experiences implementing CSCL in educational practices, expands knowledge building toward the trialogic approach to knowledge-creating learning and works out the notion of knowledge practices. See also (Paavola & Hakkarainen, this volume).
Koschmann, T. (Ed.). (1996). CSCL: Theory and practice of an emerging paradigm. Hillsdale, NJ: Lawrence Erlbaum Associates.—This edited volume defined the beginnings of CSCL theory. It includes Koschmann’s discussion of the CSCL paradigm, Roschelle’s model of CSCL interaction analysis and Scardamalia & Bereiter’s argument for supporting collaborative learning, among other seminal papers.
Stahl, G. (2021). Theoretical investigations: Philosophical foundations of group cognition. New York, NY: Springer —This edited volume brings together many of the past articles in the International Journal of CSCL and recent essays by the journal’s editor that are most relevant to this chapter. Together, they point in the direction of CSCL theory indicated here for the future. See also (Medina & Stahl, this volume) and essays that are available at http://gerrystahl.net/elibrary.
Vygotsky, L. (1930). Mind in society. Cambridge, MA: Harvard University Press.—Vygotsky’s most important writings and notes collected here present a vision of the theory of learning most influential in CSCL.
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Stahl, G., Hakkarainen, K. (2021). Theories of CSCL. In: Cress, U., Rosé, C., Wise, A.F., Oshima, J. (eds) International Handbook of Computer-Supported Collaborative Learning. Computer-Supported Collaborative Learning Series, vol 19. Springer, Cham. https://doi.org/10.1007/978-3-030-65291-3_2
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