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Graf, S., Lin, F., Kinshuk, & McGreal, R. (2011). Intelligent and Adaptive Learning Systems.
Keywords: Technology Enhanced Support for Learners and Teachers
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Graf, S., Lin, F., Kinshuk, & McGreal, R. (2011). Intelligent and Adaptive Learning Systems. IGI Global.
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Dron, J. (2016). P-learning's unwelcome legacy. TD, 24(1). Retrieved July 1, 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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Esmahi, L. & D., P. (2002). A Negotiation Policy for Interacting Agents in e-Markets. Artificial Intelligence and Simulation of Behaviour. Symposium on Intelligent Agents in Virtual Markets, .
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Bagheri, E., & Ghorbani, A.A. (2010). A Framework for the Manifestation of Tacit Critical Infrastructure Knowledge. In Sustainable & Resilient Critical Infrastructure Systems, (pp. 139–158). Springer-Verlag.
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