AI Based Personal Learning Environments: Directions for Long Term Research

dc.creator	Goldstein, Ira P.
dc.creator	Miller, Mark L.
dc.date	2004-10-04T14:47:32Z
dc.date	2004-10-04T14:47:32Z
dc.date	1976-12-01
dc.date.accessioned	2013-10-09T02:44:32Z
dc.date.available	2013-10-09T02:44:32Z
dc.date.issued	2013-10-09
dc.identifier	AIM-384
dc.identifier	http://hdl.handle.net/1721.1/6259
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description	The application of artificial intelligence (AI) techniques to the design of personal learning environments is an enterprise of both theoretical and practical interest. In the short term, the process of developing and testing intelligent tutoring programs serves as a new experimental vehicle for exploring alternative cognitive and pedagogical theories. In the long term, such programs should supplement the educational supervision and guidance provided by human teachers. This paper illustrates our long term perspective by a scenario with a hypothetical tutoring system for elementary graphics programming.
dc.format	7320498 bytes
dc.format	5391708 bytes
dc.format	application/postscript
dc.format	application/pdf
dc.language	en_US
dc.relation	AIM-384
dc.title	AI Based Personal Learning Environments: Directions for Long Term Research

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