Abstract
Context is a critical consideration in CSCL research and design, yet difficult to delineate. Its definition can encompass aspects of the environment, the learners, the technology, and their histories and cultures. Depending on researchers’ theoretical perspectives and the focus of their study, different aspects of context are forefronted in the data collection and analysis, while others are given less importance. In this chapter, we offer a framework that conceptualizes context in terms of focal, immediate, and peripheral layers surrounding the object of study. We describe how the aspects contained within each layer of context differ depending on one’s theoretical orientation. To illustrate, we offer contrasting examples of CSCL research that approach context from a cognitive perspective and a sociocultural perspective. We end by outlining several areas for future research and highlight the importance of technological advances to keep pace with the theoretical conceptions of context in order to support the design of responsive CSCL environments. Ultimately, we argue that a full understanding of context leads to more robust and ecologically sound CSCL research and design.
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References
Abowd, G. D., Dey, A. K., Brown, P. J., Davies, N., Smith, M., & Steggles, P. (1999). Towards a better understanding of context and context-awareness. In International symposium on handheld and ubiquitous computing (pp. 304–307). Berlin, Heidelberg: Springer.
Abrahamian, E., Weinberg, J., Grady, M., & Stanton, C. M. (2004). The effect of personality-aware computer-human interfaces on learning. Journal of Universal Computer Science, 10(1), 27–37.
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.
Baldauf, M., Dustdar, S., & Rosenberg, F. (2007). A survey on context-aware systems. International Journal of Ad Hoc and Ubiquitous Computing, 2(4), 263–277.
Banks, J. A., Au, K. H., Ball, A. F., Bell, P., Gordon, E. W., Gutiérrez, K. D., et al. (2007). Learning in and out of school in diverse environments: Life-long, life-wide, life-deep. Seattle: LIFE Center (The Learning in Informal and Formal Environments Center) and the Center for Multicultural Education, University of Washington, Seattle. Retrieved December 6, 2019, from http://life-slc.org/docs/Banks_etal-LIFE-Diversity-Report.pdf.
Barton, A. C., & Tan, E. (2010). “It changed our lives”: Activism, science, and greening the community. Canadian Journal of Science, Mathematics, and Technology Education, 10(3), 207–222.
Barton, D., & Hamilton, M. (2012). Local literacies: Reading and writing in one community. New York: Routledge.
Bauchspies, W. K., Croissant, J., & Restivo, S. P. (2006). Science, technology, and society: A sociological approach. Malden, MA: Blackwell Publishers.
Bodemer, D., & Dehler, J. (2011). Group awareness in CSCL environments. Computers in Human Behavior, 27(3), 1043–1045.
Bodemer, D., Janssen, J., & Schnaubert, L. (2018). Group awareness tools for computer-supported collaborative learning. In International Handbook of the Learning Sciences (pp. 351–358). New York: Routledge.
Borge, M., & Mercier, E. (2018). Towards a cognitive ecological framework in CSCL. In Proceedings of International Conference of the Learning Sciences, ICLS. International Society of the Learning, 1, 336–343.
Bourguin, G., & Derycke, A. (2001). Integrating the CSCL activities into virtual campuses: Foundations of a new infrastructure for distributed collective activities. In P. Dillenbourg, A. Eurelings, & K. Hakkarainen (Eds.), Proceedings of Euro-CSCL 2001, Fifth European Perspectives on Computer-supported Collaborative Learning (pp. 123–130). Wellington: McLuhan Institute.
Brennan, S. E., Chen, X., Dickinson, C. A., Neider, M. B., & Zelinsky, G. J. (2008). Coordinating cognition: The costs and benefits of shared gaze during collaborative search. Cognition, 106(3), 1465–1477.
Carroll, J. M., Neale, D. C., Isenhour, P. L., Rosson, M. B., & McCrickard, D. S. (2003). Notification and awareness: Synchronizing task-oriented collaborative activity. International Journal of Human Computer Studies, 58(5), 605–632. https://doi.org/10.1016/S1071-5819(03)00024-7.
Chalmers, M. (2004). A historical view of context. Journal of Computer Supported Cooperative Work (CSCW), 13(3–4), 223–247.
Chan, C. (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.
Chen, C. M. (2013). An intelligent mobile location-aware book recommendation system that enhances problem-based learning in libraries. Interactive Learning Environments, 21(5), 469–495.
Dourish, P. (2004). What we talk about when we talk about context. Personal and Ubiquitous Computing, 8(1), 19–30.
Esmonde, I., & Booker, A. N. (Eds.). (2016). Power and privilege in the learning sciences: Critical and sociocultural theories of learning. Milton Park: Taylor & Francis.
Glassman, M. (2001). Dewey and Vygotsky: Society, experience, and inquiry in educational practice. Educational Researcher, 30(4), 3–14.
Goodwin, C., & Duranti, A. (1992). Rethinking context: An introduction. In A. Duranti & C. Goodwin (Eds.), Rethinking context: Language as an interactive phenomenon (pp. 1–42). New York: Cambridge University Press.
Gutiérrez, K. D., & Rogoff, B. (2003). Cultural ways of learning: Individual traits or repertoires of practice. Educational Researcher, 32(5), 19–25.
Hadwin, A. F., Järvelä, S., & Miller, M. (2011). Self-regulated, co-regulated, and socially shared regulation of learning. Handbook of Self-regulation of Learning and Performance, 30, 65–84.
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, 794–805.
Hinsz, V. B., Tindale, R. S., & Vollrath, D. A. (1997). The emerging conceptualization of groups as information processors. Psychological Bulletin, 121(1), 43–64.
Hoadley, C. (2010). Roles, design, and the nature of CSCL. Computers in Human Behavior, 26(4), 551–555.
Honebein, P. C., Duffy, T. M., & Fishman, B. J. (1993). Constructivism and the design of learning environments: Context and authentic activities for learning. In Designing environments for constructive learning (pp. 87–108). New York: Springer.
Hontvedt, M., & Arnseth, H. C. (2013). On the bridge to learn: Analysing the social organization of nautical instruction in a ship simulator. International Journal of Computer-Supported Collaborative Learning, 8(1), 89–112.
Hutchins, E. (1995). Cognition in the Wild. Cambridge, MA: MIT Press.
Ito, M., Gutiérrez, K., Livingstone, S., Penuel, B., Rhodes, J., Salen, K., Schor, J., Sefton-Green, J., & Watkins, S. C. (2013). Connected learning: An agenda for research and design. Irvine, CA: Digital Media and Learning Research Hub. ISBN: 978-0-9887255-0-8.
Järvelä, S., & Hadwin, A. F. (2013). New frontiers: Regulating learning in CSCL. Educational Psychologist, 48(1), 25–39.
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.
Kermish-Allen, R., Peterman, K., & Bevc, C. (2019). The utility of citizen science projects in K-5 schools: Measures of community engagement and student impacts. Cultural Studies of Science Education, 14(3), 627–641.
Kirschner, P. A., & Kreijns, K. (2003). The sociability of computer-mediated collaborative learning environments: Pitfalls of social interaction and how to avoid them. In R. Bromme, F. Hesse, & H. Spada (Eds.), Barriers and biases in computer-mediated knowledge communication—and how they may be overcome (pp. 169–192). Dordrecht, The Netherlands: Kluwer.
Kuhn, T. (1962). The structure of scientific revolutions. Chicago: University of Chicago Press.
Laffey, J., Hong, R. Y., Galyen, K., Goggins, S., & Amelung, C. (2009, June). Context-aware activity notification system: Supporting CSCL. In Proceedings of the 9th international conference on Computer supported collaborative learning (Vol. 2, pp. 171–173). Rhodes, Greece: International Society of the Learning Sciences.
Latour, B. (1987). Science in action: How to follow scientists and engineers through society. Cambridge, MA: Harvard University Press.
Luna, V., Quintero, R., Torres, M., Moreno-Ibarra, M., Guzmán, G., & Escamilla, I. (2015). An ontology-based approach for representing the interaction process between user profile and its context for collaborative learning environments. Computers in Human Behavior, 51, 1387–1394.
Miller, M., & Hadwin, A. (2012, April). Social aspects of regulation: Measuring socially-shared regulation in collaborative contexts. Paper presented at the annual meeting of the American Educational Research Association, Vancouver, British Columbia, Canada.
Nalepa, G. J., Kutt, K., & Bobek, S. (2019). Mobile platform for affective context-aware systems. Future Generation Computer Systems, 92, 490–503.
Noble, S. U. (2019, October 3). The problems and perils of harnessing big data for equity & justice, keynote. Presentation presented at Cyberlearning 2019, Alexandria, VA. Retrieved from https://www.youtube.com/watch?v=HBdDTIWK8r0.
Packer, M. J., & Goicoechea, J. (2000). Sociocultural and constructivist theories of learning: Ontology, not just epistemology. Educational Psychologist, 35(4), 227–241.
Perkins, D. N. (1993). Person-plus: A distributed view of thinking and learning. In G. Salomon (Ed.), Distributed cognitions: Psychological and educational considerations (pp. 88–110). New York: Cambridge University Press.
Prekop, P., & Burnett, M. (2003). Activities, context and ubiquitous computing. Computer Communications, 26(11), 1168–1176.
Rogers, Y. (2006). Moving on from Weiser’s vision of calm computing: Engaging ubicomp experiences. In P. Dourish & A. Friday (Eds.), International conference on Ubiquitous computing, Lecture Notes in Computer Science (Vol. 4206). New York: Springer.
Saab, N. (2012). Team regulation, regulation of social activities or co-regulation: Different labels for effective regulation of learning in CSCL. Metacognition and Learning, 7(1), 1–6.
Salomon, G. (1997). Distributed cognitions: Psychological and educational considerations. New York: Cambridge University Press.
Scardamalia, M., & Bereiter, C. (2007). Fostering communities of learners and knowledge building: An interrupted dialogue. In J. C. Campione, K. E. Metz, & A. S. Palincsar (Eds.), Children’s learning in the laboratory and in the classroom: Essays in honor of Ann Brown (pp. 197–212). Mahwah, NJ: Erlbaum.
Schilit, B., Adams, N., & Want, R. (1994, December). Context-aware computing applications. In 1994 First workshop on mobile computing systems and applications (pp. 85–90). New York: IEEE Press.
Shapiro, B. R. (2019). Integrative visualization: Exploring data collected in collaborative learning contexts. In Proceedings of the 13th international conference on computer supported collaborative learning (CSCL) 2019 (Vol. 1, pp. 184–191). Lyon, France: International Society of the Learning Sciences.
Smith, E. R., & Semin, G. R. (2004). Socially situated cognition: Cognition in its social context. Advances in Experimental Social Psychology, 36, 57–121.
Stahl, G. (2002, January). Contributions to a theoretical framework for CSCL. In Proceedings of the conference on computer support for collaborative learning: Foundations for a CSCL community (pp. 62–71). Boulder, CO: International Society of the Learning Sciences.
Steier, R., Kersting, M., & Silseth, K. (2019). Imagining with improvised representations in CSCL environments. International Journal of Computer-Supported Collaborative Learning, 14(1), 109–136.
Timmis, S. (2014). The dialectical potential of cultural historical activity theory for researching sustainable CSCL practices. International Journal of Computer-Supported Collaborative Learning, 9(1), 7–32.
Vygotsky, L. S. (1987). The collected works of L.S. Vygotsky: Vol. I Problems of general psychology. R. Rieber & A. Carton (Eds.) (N. Minick, Trans.). New York: Plenum Press. (Original work published 1934).
Winters, N., & Price, S. (2005, September). Mobile HCI and the learning context: An exploration. In Proceedings of context in mobile HCI workshop at MobileHCI05 (pp. 19–22).
Wise, A. F., & Schwarz, B. B. (2017). Visions of CSCL: Eight provocations for the future of the field. International Journal of Computer-Supported Collaborative Learning, 12(4), 423–467.
Zimmerman, B. J. (2008). Investigating self-regulation and motivation. Historical background, methodological developments and future prospects. American Educational Research Journal, 45, 166–183.
Further Readings
Bodemer, D., & Dehler, J. (2011). Group awareness in CSCL environments. Computers in Human Behavior, 27(3), 1043–1045. This special issue presents six studies that explore collaborative learning with group awareness technologies. They demonstrate a cognitively oriented perspective on context, with a focus on capturing, responding to, and informing learners of the social, behavioral, and cognitive aspects that surround and influence their collaboration.
Borge, M., & Mercier, E. (2019). Towards a micro-ecological approach to CSCL. International Journal of Computer-Supported Collaborative Learning, 14(2), 219–235. This article argues that an ecological perspective on learning in CSCL better captures the complexity of teachers’ and learners’ decisions and actions. The authors illustrate a microecological approach to analyzing a case of elementary- and middle-grade students in an after-school design club. In their analysis, they identify “transecological disruptions,” events that occur at one level (i.e., between individual learners, between learners, and objects), and influence others (e.g., within collaborative groups, within the community as a whole). This research shows how a multilevel view of context can allow deeper and more valid, descriptive explanations of learning.
Duranti, A., & Goodwin, C. (1992). Rethinking context: Language as an interactive phenomenon. New York: Cambridge University Press. This collection of essays examine context in relation to various social activities, including radio communication, medical diagnosis, in-person interaction, and politics. This seminal work argues that context and language form an inseparable dynamic, and continues to influence scholars in social and anthropological linguistics.
Jones, R. (2004). The problem of context in computer mediated communication. In P. LeVine & R. Scollon (Eds.), Discourse and technology: Multimodal discourse analysis (pp. 20–33). Washington, DC: Georgetown University Press. This paper argues for the need for linguists to redefine context in the study of computer-mediated communication. As text has since become more diverse than simply written and verbal, the authors encourage a shift in analytic focus away from text alone, and toward the social interactions, identities, and experiences that these new texts enable. Almost two decades later, this argument is worth revisiting as our modes for communication continue to evolve and expand.
Zimmermann, A., Lorenz, A., & Oppermann, R. (2007). An operational definition of context. In International and interdisciplinary conference on modeling and using context (pp. 558–571). Berlin, Heidelberg: Springer. This article reviews the history of the concept of context in the domain of context-aware computing. The authors define context in general, formal, and operational terms, which together describe the components of context (e.g., time, location, activity) and how they are used in software engineering. This piece offers a practically oriented perspective on context that is useful for both technology users and designers.
Acknowledgments
We gratefully acknowledge the contributions of Nikol Rummel, who helped conceptualize early structures of this chapter, and the reviewers who helped to clarify our arguments.
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Matuk, C., DesPortes, K., Hoadley, C. (2021). Conceptualizing Context in CSCL: Cognitive and Sociocultural Perspectives. 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_5
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