Learning interactions with artificial intelligences: a fallibilist perspective

Aczel, James (2007). Learning interactions with artificial intelligences: a fallibilist perspective. In: 12th biennial conference of the European Association for Research on Learning and Instruction (EARLI), 28 Aug - 1 Sep 2007, Budapest, Hungary.

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Abstract

After many false starts, the potential advantages of artificial intelligence for education are starting to appear. It remains in question, though, whether current theoretical frameworks are adequate for understanding processes of learning with artificial intelligence. This paper re-examines a recent study of children telling stories in collaboration with a virtual conversational agent, in which it was found that children who played with the agent told stories with more linguistically advanced characteristics than the stories of children who played with a friend. Conventional explanations in terms of 'scaffolding' or that portray the agent as a 'tool' seem to have limited predictive potential. It is argued that a fallibilist philosophy offers the potential of new insights and testable hypotheses in relation to such learning interactions with virtual peers.

Item Type:	Conference or Workshop Item
Academic Unit/School:	Learning and Teaching Innovation (LTI) > Institute of Educational Technology (IET) Learning and Teaching Innovation (LTI)
Research Group:	Centre for Research in Education and Educational Technology (CREET)
Item ID:	12569
Depositing User:	James Aczel
Date Deposited:	10 Dec 2008 08:45
Last Modified:	02 May 2018 12:55
URI:	http://oro.open.ac.uk/id/eprint/12569
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