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Orchestrating the flow and advancement of knowledge artifacts in an online class

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Abstract

This paper explores orchestration support introduced to an online class to help students operate as a knowledge community. A technological design was introduced to provide a flexible, dynamic learning environment so that ideas and knowledge artifacts can flow across time, space, and people in the community. With support from a CSCL technology named FROG, we incorporated several general-purpose tools to support a variety of collaborative activities and relied on FROG as a backbone to connect these tools and orchestrate knowledge flows among them. Through a mixed-methods case study, we investigated the ways in which the design facilitated the flow of knowledge artifacts and idea development. Detailed analysis of a rich dataset revealed multiple ways in which ideas and artifacts flowed in the community, leading to growth in both individual learning and group projects. However, these phenomena varied across groups. This paper advances the community approach to learning by devising new technological and pedagogical supports. It also highlights the prospect of bringing guidance, control, and agency—long-standing issues of CSCL—into productive dialogues.

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The datasets generated during and/or analysed during the current study are not publicly available due to Institutional Review Board restrictions.

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References

  • Banks, J. A., Au, K. H., Ball, A. F., Bell, P., Gordon, E. W., Gutiérrez, K. D. … Zhou, M. (2007). Learning in and out of school in diverse environments: Life-long, life-wide, life-deep. The LIFE Center

  • Bereiter, C. (2002). Education and mind in the knowledge age. Lawrence Erlbaum

  • Bereiter, C., Cress, U., Fischer, F., Hakkarainen, K., Scardamalia, M., & Vogel, F. (2017, July). Scripted and Unscripted Aspects of Creative Work With Knowledge. https://doi.org/10.22318/cscl2017.119

  • Bereiter, C., & Scardamalia, M. (1993). Surpassing ourselves: An inquiry into the nature and implications of expertise. Open Court

  • Bereiter, C., & Scardamalia, M. (2013). Self-organization in conceptual growth: Practical implications. In S. Vosniadou (Ed.), International handbook of research on conceptual change (2nd ed., pp. 504–519). Routledge

  • Bielaczyc, K., & Collins, A. (1999). Learning communities in classrooms: A reconceptualization of educational practice. In C. M. Reigeluth (Ed.), Instructional design theories and models, Vol II (pp. 269–292). Lawrence Erlbaum Associates. https://doi.org/10.1177/019263659908360402

  • 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. https://doi.org/10.1007/s11412-018-9270-5

    Article  Google Scholar 

  • 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. https://doi.org/10.1080/07370008.2016.1215722

    Article  Google Scholar 

  • Brown, A. L., & Campione, J. C. (1994). Guided discovery in a community of learners. In K. McGilly (Ed.), Classroom lessons Integrating cognitive theory and classroom practice (pp. 229–270). MIT Press

  • Cabitza, F., Colombo, G., & Simone, C. (2013). Leveraging underspecification in knowledge artifacts to foster collaborative activities in professional communities. International Journal of Human-Computer Studies, 71(1), 24–45. https://doi.org/10.1016/j.ijhcs.2012.02.005

    Article  Google Scholar 

  • Chen, B., Håklev, S., & Rosé, C. P. (2020). Collaborative learning at scale. International handbook of computer-supported collaborative learning. Springer

  • Chen, B., & Hong, H. Y. (2016). Schools as knowledge-building organizations: Thirty years of design research. Educational Psychologist, 51(2), 266–288. https://doi.org/10.1080/00461520.2016.1175306

    Article  Google Scholar 

  • Chen, B., Scardamalia, M., & Bereiter, C. (2015). Advancing knowledge‐building discourse through judgments of promising ideas. International Journal of Computer-Supported Collaborative Learning, 10(4), 345–366. https://doi.org/10.1007/s11412-015-9225-z

  • Dalziel, J. (2003). Implementing learning design: The learning activity management system (LAMS). In G. Crisp, D. Thiele, I. Scholten, S. Barker and J. Baron (Eds), Interact, Integrate, Impact: Proceedings of the 20th Annual Conference of the Australasian Society for Computers in Learning in Tertiary Education (ASCILITE). Adelaide

  • Dillenbourg, P. (2002). Over-scripting CSCL: The risks of blending collaborative learning with instructional design.Three Worlds of CSCL. Can We Support CSCL?,61–91

  • Dillenbourg, P. (2015). Orchestration graphs. EPFL press

  • Dillenbourg, P., Järvelä, S., & Fischer, F. (2009). The evolution of research on computer-supported collaborative learning. In N. Balacheff, S. Ludvigsen, de T. Jong, A. Lazonder, & S. Barnes (Eds.), Technology-Enhanced Learning (pp. 3–19). Springer

  • Elliott, M. (2016). Stigmergic Collaboration: A Framework for Understanding and Designing Mass Collaboration. In U. Cress, J. Moskaliuk, & H. Jeong (Eds.), Mass Collaboration and Education (pp. 65–84). Springer International Publishing. https://doi.org/10.1007/978-3-319-13536-6_4

  • Engle, R. A., Lam, D. P., Meyer, X. S., & Nix, S. E. (2012). How Does Expansive Framing Promote Transfer? Several Proposed Explanations and a Research Agenda for Investigating Them. Educational Psychologist, 47(3), 215–231. https://doi.org/10.1080/00461520.2012.695678

    Article  Google Scholar 

  • Etzioni, A. (1996). The Responsive Community: A Communitarian Perspective. American Sociological Review, 61(1), 1–11. https://doi.org/10.2307/2096403

    Article  Google Scholar 

  • Fischer, F., Kollar, I., Stegmann, K., & Wecker, C. (2013). Toward a Script Theory of Guidance in Computer-Supported Collaborative Learning. Educational Psychologist, 48(1), 56–66. https://doi.org/10.1080/00461520.2012.748005

    Article  Google Scholar 

  • Fong, C., & Slotta, J. D. (2018). Supporting communities of learners in the elementary classroom: The common knowledge learning environment. Instructional Science. https://doi.org/10.1007/s11251-018-9463-3

    Article  Google Scholar 

  • Guetterman, T. C., & Fetters, M. D. (2018). Two Methodological Approaches to the Integration of Mixed Methods and Case Study Designs: A Systematic Review. American Behavioral Scientist, 62(7), 900–918. https://doi.org/10.1177/0002764218772641

    Article  Google Scholar 

  • Hakkarainen, K. (2003). Emergence of progressive-inquiry culture in computer-supported collaborative learning. Learning Environments Research, 6(2), 199–220. https://doi.org/10.1023/a:1024995120180

    Article  Google Scholar 

  • Halatchliyski, I., Moskaliuk, J., Kimmerle, J., & Cress, U. (2014). Explaining authors’ contribution to pivotal artifacts during mass collaboration in the Wikipedia’s knowledge base. International Journal of Computer-Supported Collaborative Learning, 9(1), 97–115. https://doi.org/10.1007/s11412-013-9182-3

    Article  Google Scholar 

  • Håklev, S., Faucon, L., Hadzilacos, T., & Dillenbourg, P. (2017). Orchestration Graphs: Enabling rich social pedagogical scenarios in MOOCs. In Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale (pp. 261–264). ACM: New York, NY. https://doi.org/10.1145/3051457.3054000

  • Hod, Y., & Teasley, S. (2021). Communities and participation. In U. Cress, J. Oshima, C. Rosé, & A. Wise (Eds.), International handbook of computer-supported collaborative learning. Springer

  • Holsapple, C. W., & Joshi, K. D. (2001). Organizational knowledge resources. Decision Support Systems, 31(1), 39–54. https://doi.org/10.1016/S0167-9236(00)00118-4

    Article  Google Scholar 

  • Knorr Cetina, K. (1997). Sociality with objects: Social relations in postsocial knowledge societies. Theory Culture & Society, 14(4), 1–30

    Article  Google Scholar 

  • Kollar, I., Fischer, F., & Slotta, J. D. (2007). Internal and external scripts in computer-supported collaborative inquiry learning. Learning and Instruction, 17(6), 708–721. https://doi.org/10.1016/j.learninstruc.2007.09.021

    Article  Google Scholar 

  • Lemke, J. L. (2000). Across the scales of time: Artifacts, activities, and meanings in ecosocial systems. Mind. Culture and Activity, 7(4), 273–290. https://doi.org/10.1207/S15327884MCA0704_03

    Article  Google Scholar 

  • Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. Cambridge University Press

  • Le, H., Janssen, J., & Wubbels, T. (2018). Collaborative learning practices: Teacher and student perceived obstacles to effective student collaboration. Cambridge Journal of Education, 48(1), 103–122. https://doi.org/10.1080/0305764X.2016.1259389

    Article  Google Scholar 

  • Lee, A. V. Y., & Tan, S. C. (2017). Understanding idea flow: Applying learning analytics in discourse. Learning Disabilities Research & Practice: A Publication of the Division for Learning Disabilities. Council for Exceptional Children, 3(1), 12–29. https://doi.org/10.1080/23735082.2017.1283437

    Article  Google Scholar 

  • Linn, M. C., Clark, D., & Slotta, J. D. (2003). WISE design for knowledge integration. Science Education, 87(4), 517–538. https://doi.org/10.1002/sce.10086

    Article  Google Scholar 

  • Merriam-Webster. (n.d.). Community. In Merriam-Webster.com dictionary. Retrieved November 16 (2020). from https://www.merriam-webster.com/dictionary/community

  • Merriam, S. B. (1998). Qualitative research and case study applications in education. Jossey-Bass Publishers.

  • Miles, M. B., Huberman, A. M., & Saldana, J. (2013). Qualitative data analysis: A methods sourcebook (3rd ed.). SAGE Publications

  • Monahan, T. (2002). Flexible space & built pedagogy: Emerging IT embodiments. Inventio, 4(1), 1–19

    Google Scholar 

  • Peri, S. S. S., Chen, B., Dougall, A. L., & Siemens, G. (2020). Towards understanding the lifespan and spread of ideas: Epidemiological modeling of participation on Twitter. Proceedings of the Tenth International Conference on Learning Analytics & Knowledge, 197–202. https://doi.org/10.1145/3375462.3375515

  • Popper, K. (1972). Objective knowledge: An evolutionary approach. Clarendon Press

  • Popper, K. (2005). The logic of scientific discovery. Taylor & Francis.

  • Resendes, M., Scardamalia, M., Bereiter, C., Chen, B., & Halewood, C. (2015). Group-level formative feedback and metadiscourse. International Journal of Computer-Supported Collaborative Learning, 10(3), 309–336. https://doi.org/10.1007/s11412-015-9219-x

    Article  Google Scholar 

  • Ritella, G., Ligorio, M. B., & Hakkarainen, K. (2019). Interconnections between the discursive framing of space-time and the interpretation of a collaborative task. Learning Culture and Social Interaction, 20, 45–57. https://doi.org/10.1016/j.lcsi.2017.08.001

    Article  Google Scholar 

  • Scardamalia, M. (2002). Collective cognitive responsibility for the advancement of knowledge. In B. Smith (Ed.), Liberal education in a knowledge society (pp. 67–98). Open Court

  • Scardamalia, M. (2004). CSILE/Knowledge Forum. In A. Kovalchick, & K. Dawson (Eds.), Education and technology: An encyclopedia (pp. 183–192). ABC-CLIO

  • Scardamalia, M., & Bereiter, C. (2007). Fostering communities of learners and knowledge building: An interrupted dialogue. In J. C. Campione, K. E. Metz, & A. S. Palinscar (Eds.), Children’s learning in the laboratory and in the classroom: Essays in honor of Ann Brown (pp. 197–212). Lawrence Erlbaum

  • Scardamalia, M., & Bereiter, C. (2008). Pedagogical biases in educational technologies. Educational Technology, 45(3), 3–11

    Google Scholar 

  • Scardamalia, M., & Bereiter, C. (2014). Knowledge building and knowledge creation: Theory, pedagogy, and technology. In R. K. Sawyer (Ed.), Cambridge Handbook of the Learning Sciences (pp. 397–417). Cambridge University Press.

  • Sfard, A. (1998). On Two Metaphors for Learning and the Dangers of Choosing Just One. Educational Researcher, 27(2), 4–13. https://doi.org/10.3102/0013189X027002004

    Article  Google Scholar 

  • Slotta, J. D., & Linn, M. C. (2009). WISE Science: Web-based Inquiry in the Classroom. Teachers College Press

  • Slotta, J. D., Quintana, R. M., & Moher, T. (2018). Collective inquiry in communities of learners. In F. Fischer, C. E. Hmelo-Silver, S. R. Goldman, & P. Reimann (Eds.), International Handbook of the Learning Sciences (1st ed., pp. 308–317). Routledge. https://doi.org/10.4324/9781315617572-30

  • Southerton, D. (2020). Socio-Temporal Rhythms, Social Practices and Everyday Life. In D. Southerton (Ed.), Time, Consumption and the Coordination of Everyday Life (pp. 147–176). Palgrave Macmillan UK. https://doi.org/10.1057/978-1-349-60117-2_7

  • Stahl, G. (2006). Supporting group cognition in an online math community: A cognitive tool for small-group referencing in text chat. Journal of Educational Computing Research, 35(2), 103–122. https://doi.org/10.2190/q435-7611-2561-720p

    Article  Google Scholar 

  • Stahl, G., & Hakkarainen, K. (2021). Theories of CSCL. In U. Cress, J. Oshima, C. Rosé, & A. Wise (Eds.), International handbook of computer-supported collaborative learning. Springer

  • Stahl, G., Ludvigsen, S., Law, N., & Cress, U. (2014). CSCL artifacts. International Journal of Computer-Supported Collaborative Learning, 9(3), 237–245. https://doi.org/10.1007/s11412-014-9200-0

    Article  Google Scholar 

  • Stake, R. E. (1978). The Case Study Method in Social Inquiry. Educational Researcher, 7(2), 5–8. https://doi.org/10.3102/0013189X007002005

    Article  Google Scholar 

  • Strauss, A., & Corbin, J. (1998). Basics of qualitative research: Procedures and techniques for developing grounded theory. SAGE

  • Suthers, D. D. (2006). Technology affordances for intersubjective meaning making: A research agenda for CSCL. International Journal of Computer-Supported Collaborative Learning, 1(3), 315–337. https://doi.org/10.1007/s11412-006-9660-y

    Article  Google Scholar 

  • Suthers, D., Weiner, A., Connelly, J., & Paolucci, M. (1995). Belvedere: Engaging students in critical discussion of science and public policy issues. Proceedings of the 7th World Conference on Artificial Intelligence in Education, 266–273

  • Thagard, P. (2002). Coherence in thought and action. The MIT Press.

  • Wenger, E. (2010). Communities of Practice and Social Learning Systems: The Career of a Concept. In C. Blackmore (Ed.), Social Learning Systems and Communities of Practice (pp. 179–198). Springer. https://doi.org/10.1007/978-1-84996-133-2_11

  • Winne, P. H. (2015). What is the state of the art in self-, co- and socially shared regulation in CSCL? Computers in Human Behavior, 52, 628–631. https://doi.org/10.1016/j.chb.2015.05.007

    Article  Google Scholar 

  • 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. https://doi.org/10.1007/s11412-017-9267-5

    Article  Google Scholar 

  • Zhang, J., Scardamalia, M., Reeve, R., & Messina, R. (2009). Designs for Collective Cognitive Responsibility in Knowledge-Building Communities. Journal of the Learning Sciences, 18(1), 7–44. https://doi.org/10.1080/10508400802581676

    Article  Google Scholar 

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Correspondence to Bodong Chen.

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Chen, B., Shui, H. & Håklev, S. Orchestrating the flow and advancement of knowledge artifacts in an online class. Instr Sci 50, 903–931 (2022). https://doi.org/10.1007/s11251-022-09596-3

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