Learning in Artificial Environments: Embodiment, Embeddedness and Dynamic Adaptation
Technology, Instruction, Cognition and Learning Volume 1, Number 1, ISSN 1540-0182
Forms a conceptual framework for studying learning in artificial environments, i.e. computer-supported simulations of natural environments. Discusses the ideas that cognition is embodied in physical activity, that this activity is embedded in a learning environment, and that learning is the result of adaptation of the learner to the environment and the environment to the learner. (Contains 75 references.) (Author/LRW)
Winn, W. (2003). Learning in Artificial Environments: Embodiment, Embeddedness and Dynamic Adaptation. Technology, Instruction, Cognition and Learning, 1(1), 87-114.
Cited ByView References & Citations Map
Applied Technological Innovations for Learning: User Perceptions of an Augmented Reality Tutorial on DNA Molecular Modeling
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E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2016 (Nov 14, 2016) pp. 1264–1269
Gail Carmichael, Robert Biddle & David Mould, Carleton University, Canada
E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2012 (Oct 09, 2012) pp. 1761–1771
Carolyn Sumners, Houston Museum of Natural Science, United States; Schloss Annette, University of New Hampshire, United States; Kerry Handron, Carnegie Museum of Natural History, United States; Jeffrey Jacobson, PublicVR, United States
Society for Information Technology & Teacher Education International Conference 2012 (Mar 05, 2012) pp. 4894–4898
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