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Tkalcic, M., Quercia, D., & Graf, S. (2016). Preface to the special issue on personality in personalized systems. User Modeling and User-Adapted Interaction, 26(2-3). Springer Nature.
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Dron, J. (2016). P-learning's unwelcome legacy. TD, 24(1). Retrieved April 29, 2024, from http://www.tdjournal.itd.cnr.it/article/view/891
Abstract: Formal teaching of adults has evolved in a context de ned, initially, by the constraints of physical boundaries. Classroom walls directly entail timetables, norms and rules of behaviour, social segregation into organized groups and, notably, the course as a fundamental unit of instruction. Our adult education systems are well adapted to provide ef cient and cost-effective teaching within those boundaries. Digitally embodied boundaries are far more uid, open, permeable, scalable, metaphorical and fuzzy. This has helped to drive the increasing dominance of e-learning in intentional informal learning and yet methods that emerge from physical boundaries dominate institutional e-learning, though they are a poor t with the media. This paper is an exploration of the implications of the removal of physical boundaries to online pedagogies, many of which challenge our most cherished educational foundations and assumptions.
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Govindarajan, K., Kumar, V. S., Boulanger, D., Seanosky, J., Bell, J., Pinnell, C., et al. (2016). Software-Defined Networking (SDN)-Based Network Services for Smart Learning Environments: The Role of SDN in Smart Competence LEarning Analytics platform (SCALE). (pp. 69–76). State-of-the-Art and Future Directions of Smart Learning, The 2015 International Conference on Smart. Springer Singapore.
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Govindarajan, K., Kumar, V. S., Boulanger, D., Seanosky, J., Bell, J., Pinnell, C., et al. (2016). Software-Defined Networking (SDN)-Based Network Services for Smart Learning Environments: The Role of SDN in Smart Competence LEarning Analytics platform (SCALE). (pp. 69–76). State-of-the-Art and Future Directions of Smart Learning, The 2015 International Conference on Smart. Springer Singapore.
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Govindarajan, K., Boulanger, D., Seanosky, J., Bell, J., Pinnell, C., & Kumar, V. S. (2016). Assessing Learners Progress in a Smart Learning Environment using Bio-Inspired Clustering Mechanism. In E. Popescu, Kinshuk, M. K. Khribi, R. Huang, M. Jemni, N. - S. Chen, et al. (Eds.), (pp. 49–58). Innovations in Smart Learning, 3rd International Conference on Smart Learning Environments. Springer Singapore.
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