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Journal Articles International Journal of Artificial Intelligence in Education Year : 2000

Mainstreaming AIED into Education?

Abstract

What will Education look like in 2010, and what will be its problems? Will AIED have anything substantial to offer, and what can we do to maximise its contributions? We argue that Education is, for understandable reasons, the discipline of classroom teaching and learning, with some attention paid to learning by individuals but very little indeed to teaching that is effective in a one-to-one situation. Further, it is not strong in formulating precise theories of learning and teaching. It is therefore not well-equipped to support the inevitable increase in learning activities that will be undertaken at computers. We argue that AIED has made great progress in adopting broader and more sophisticated conceptions of learning, and should thus at last be able to communicate well with Education. It can offer ways to develop and test precise theories, and also important concepts relevant to individualised learning that have largely been overlooked by Education, such as that of learner modelling by teachers. By 2010 AIED has the potential to be making a much broader contribution to Education. If this optimistic prediction can be achieved, and the educational mainstreaming of AIED does occur, both AIED and Education will benefit. (http://aied.inf.ed.ac.uk/members00/archive/vol_11/cumming/full.html)
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Dates and versions

hal-00197331 , version 1 (14-12-2007)

Identifiers

  • HAL Id : hal-00197331 , version 1

Cite

Geoff Cumming, Anne Mcdougall. Mainstreaming AIED into Education?. International Journal of Artificial Intelligence in Education, 2000, 11, pp.197-207. ⟨hal-00197331⟩

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