Abstract
The aim of this concluding chapter is to reflect on the book’s central theme of conceptualizing and innovating education and work with networked learning and on the individual chapters’ contributions to developing this theme. In the first section, we present an overview of the book’s chapters which are sorted into three main parts: Part 1: Professional Learning; Part 2: Learning Networks’ Development and Use of Digital Resources; and Part 3: Innovating Networked Learning. We also highlight that a first chapter provides some background to the three parts of the book by tracing the conceptualization of networked learning’s basic terms in past conference papers. In the second section of the Conclusion, we identify a set of issues emerging out of the chapters—and indeed of the International Conference on Networked Learning 2020 from which the chapters stem. In our view, these issues constitute focus areas for future research: design for collaboration in networked learning, complexity of online networked learning in diverse physically located environments, the nature of learning and cognition, and politics and ethics in networked learning.
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References
Bayne, S. (2015). Teacherbot: Interventions in automated teaching. Teaching in Higher Education, 20(4), 455–467. https://doi.org/10.1080/13562517.2015.1020783
Binns, R. (2018). Algorithmic accountability and public reason. Philosophy & Technology, 31(4), 543–556. https://doi.org/10.1007/s13347-017-0263-5
Björneborn, L. (2017). Three key affordances for serendipity. Journal of Documentation, 73(5), 1053–1081. https://doi.org/10.1108/JD-07-2016-0097
Carvalho, L., Goodyear, P., & de Laat, M. (Eds.). (2017). Place-based spaces for networked learning. Routledge.
Castells, M. (1996/2002). The rise of the network society. Blackwell.
Clark, A., & Chalmers, D. (1998). The extended mind. Analysis, 58(1), 7–19.
Cutajar, M. (2018). Variation in students’ perceptions of others for learning. In N. Bonderup Dohn, S. Cranmer, J.-A. Sime, M. de Laat, & T. Ryberg (Eds.), Networked learning: Reflections and challenges (pp. 79–94). Springer International Publishing. https://doi.org/10.1007/978-3-319-74857-3_5
De Laat, M., & Ryberg, T. (2018). Celebrating the Tenth Networked Learning Conference: Looking back and moving forward. In N. B. Dohn, S. Cranmer, J.-A. Sime, M. De Laat, & T. Ryberg (Eds.), Networked learning: Reflections and challenges (pp. 1–20). Springer International Publishing. https://doi.org/10.1007/978-3-319-74857-3_1
Del Valle, M. E., Gruzd, A., Haythornthwaite, C., Kumar, P., Gilbert, S., & Paulin, D. (2018). Learning in the wild: Predicting the formation of ties in ‘Ask’ subreddit communities using ERG models. In M. Bajic, N. B. Dohn, M. De Laat, P. Jandric, & T. Ryberg (Eds.), Proceedings of the 11th International Conference on Networked Learning (pp. 157–164).
Dewey, J. (1938/1986). Logic: The theory of inquiry. Southern Illinois University Press.
Dohn, N. B. (2014). Implications for networked learning of the ‘practice’ side of social practice theories—A tacit-knowledge perspective. In V. Hodgson, M. de Laat, D. McConnell, & T. Ryberg (Eds.), The design, experience and practice of networked learning (pp. 29–49). Springer.
Dohn, N. B., & Kjær, C. (2009). Language is not enough—Knowledge perspectives on work-based learning in global organizations. Hermes, 43, 137–161.
Ellis, R. A., Goodyear, P., Prosser, M., & O’Hara, A. (2006). How and what university students learn through online and face-to-face discussion: Conceptions, intentions and approaches. Journal of Computer Assisted Learning, 22(4), 244–256. https://doi.org/10.1111/j.1365-2729.2006.00173.x
Falkenhainer, B., Forbus, K. D., & Gentner, D. (1989). The structure-mapping engine: Algorithm and examples. Artificial Intelligence, 41(1), 1–63. https://doi.org/10.1016/0004-3702(89)90077-5
Gentner, D. (1983). Structure-mapping: A theoretical framework for analogy*. Cognitive Science, 7(2), 155–170. https://doi.org/10.1207/s15516709cog0702_3
Gentner, D. (2019). Cognitive science is and should be pluralistic. Topics in Cognitive Science, 11(4), 884–891. https://doi.org/10.1111/tops.12459
Goodyear, P. (2015). Teaching as design. Herdsa Review of Higher Education, 2(2), 27–50.
Goodyear, P., & Carvalho, L. (2014). Framing the analysis of learning network architectures. In L. Carvalho & P. Goodyear (Eds.), The architecture of productive learning networks (pp. 66–88). Routledge.
Goodyear, P., Banks, S., Hodgson, V., & McConnell, D. (Eds.). (2004). Advances in research on networked learning. Kluwer Academic.
Gourlay, L., Rodríguez-Illera, J. L., Barberà, E., Bali, M., Gachago, D., Pallitt, N., Jones, C., Bayne, S., Hansen, S. B., Hrastinski, S., Jaldemark, J., Themelis, C., Pischetola, M., Dirckinck-Holmfeld, L., Matthews, A., Gulson, K. N., Lee, K., Bligh, B., Thibaut, P., … Networked Learning Editorial Collective. (2021). Networked learning in 2021: A community definition. Postdigital Science and Education, 3(2), 326–369. https://doi.org/10.1007/s42438-021-00222-y
Hansen, S. B. (2020). Philosophers of technology. Walter de Gruyter.
Hodgson, V., & Reynolds, M. (2005). Consensus, difference and ‘multiple communities’ in networked learning. Studies in Higher Education, 30(1), 11–24. https://doi.org/10.1080/0307507052000307768
Hutchins, E. (1995). Cognition in the wild. MIT Press.
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. https://doi.org/10.1080/00461520.2016.1158654
Kop, R. (2012). The unexpected connection: Serendipity and human mediation in networked learning. Journal of Educational Technology & Society, 15(2), 2–11. http://www.jstor.org/stable/jeductechsoci.15.2.2
Latour, B. (1987). Science in action: How to follow scientists and engineers through society. Harvard University Press.
Lave, J. (1988). Cognition in practice—Mind, mathematics and culture in everyday life. Cambridge University Press.
Lave, J., & Wenger, E. (1991). Situated learning—Legitimate peripheral participation. Cambridge University Press.
Luff, P., Heath, C., Kuzuoka, H., Hindmarsh, J., Yamazaki, K., & Oyama, S. (2003). Fractured ecologies: Creating environments for collaboration. Human–Computer Interaction, 18(1–2), 51–84. https://doi.org/10.1207/S15327051HCI1812_3
Marin, A., & Wellman, B. (2014). Social network analysis: An introduction. In J. Scott & P. J. Carrington (Eds.), The SAGE handbook of social network analysis (pp. 11–25). SAGE Publications Ltd.. https://doi.org/10.4135/9781446294413
Merleau-Ponty, M. (1962). Phenomenology of perception. Routledge and Kegan.
Mitcham, C. (1994). Thinking through technology: The path between engineering and philosophy. University of Chicago Press.
Networked Learning Editorial Collective. (2020). Networked learning: inviting redefinition. Postdigital Science and Education. https://doi.org/10.1007/s42438-020-00167-8
Newen, A., Bruin, L. d., & Gallagher, S. (2018). The Oxford handbook of 4E cognition. Oxford University Press.
Noble, D. F. (1998). Digital diploma mills: The automation of higher education. Science as Culture, 7(3), 355–368.
Pardos, Z. A., & Jiang, W. (2020). Designing for serendipity in a university course recommendation system. In Proceedings of the Tenth International Conference on Learning Analytics & Knowledge, Frankfurt.
Perriton, L., & Reynolds, M. (2014). ‘Here be dragons’: Approaching difficult group issues in networked learning. In V. Hodgson, M. de Laat, D. McConnell, & T. Ryberg (Eds.), The design, experience and practice of networked learning (pp. 109–126). Springer International Publishing. https://doi.org/10.1007/978-3-319-01940-6_6
Polanyi, M. (1966). The tacit dimension. Doubleday.
Poritz, J. A., & Rees, J. (2017). Education is not an app: The future of university teaching in the Internet age. Routledge.
Reviglio, U. (2019). Serendipity as an emerging design principle of the infosphere: Challenges and opportunities. Ethics and Information Technology, 21(2), 151–166. https://doi.org/10.1007/s10676-018-9496-y
Ross, J. (2017). Speculative method in digital education research. Learning, Media and Technology, 42(2), 214–229. https://doi.org/10.1080/17439884.2016.1160927
Saadatmand, M., & Kumpulainen, K. (2014). Participants’ perceptions of learning and networking in connectivist MOOCs. Journal of Online Learning and Teaching, 10(1), 16–30.
Selwyn, N. (2011). Editorial: In praise of pessimism—The need for negativity in educational technology. British Journal of Educational Technology, 42(5), 713–718. https://doi.org/10.1111/j.1467-8535.2011.01215.x
Sfard, A. (1998). On two metaphors for learning and the dangers of choosing just one. Educational Researcher, 27(2), 4–13. https://doi.org/10.2307/1176193
Smith, S. M. (2012). How do small business owner-managers learn leadership through networked learning? In L. Dirckinck-Holmfeld, V. Hodgson, & D. McConnell (Eds.), Exploring the theory, pedagogy and practice of networked learning (pp. 221–236). Springer. https://doi.org/10.1007/978-1-4614-0496-5_13
Stodel, E. J., Thompson, T. L., & MacDonald, C. J. (2006). Learners’ perspectives on what is missing from online learning: Interpretations through the community of inquiry framework. International Review of Research in Open and Distributed Learning, 7(3), 1–24. https://doi.org/10.19173/irrodl.v7i3.325
Umbrello, S., & van de Poel, I. (2021). Mapping value sensitive design onto AI for social good principles. AI and Ethics. https://doi.org/10.1007/s43681-021-00038-3
Varela, F. G., Maturana, H. R., & Uribe, R. (1974). Autopoiesis: The organization of living systems, its characterization and a model. Biosystems, 5(4), 187–196. https://doi.org/10.1016/0303-2647(74)90031-8
Varela, F. G., Thompson, E., & Rosch, E. (1991). The embodied mind: Cognitive science and human experience. MIT Press.
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
Wenger-Trayner, E., & Wenger-Trayner, B. (2015). Learning in a landscape of practice: A framework. In E. Wenger-Trayner, M. Fenton-O’Creevy, S. Hutchinson, C. Kubiak, & B. Wenger-Trayner (Eds.), Learning in a landscape of practice (1st ed., pp. 13–29). Routledge. https://doi.org/10.4324/9781315777122-3
Yu, S., & Yuizono, T. (2021). Opening the ‘black box’ of cooperative learning in face-to-face versus computer-supported learning in the time of COVID-19. Education Sciences, 11(3), 102. https://www.mdpi.com/2227-7102/11/3/102
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Dohn, N.B., Hansen, S.B., Hansen, J.J., de Laat, M., Ryberg, T. (2021). Conclusion: Conceptualizing and Innovating Education and Work with Networked Learning. In: Dohn, N.B., Hansen, J.J., Hansen, S.B., Ryberg, T., de Laat, M. (eds) Conceptualizing and Innovating Education and Work with Networked Learning. Research in Networked Learning. Springer, Cham. https://doi.org/10.1007/978-3-030-85241-2_13
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