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Can preschoolers profit from a teachable agent based play-and-learn game in mathematics?
Lund University Cognitive Science.ORCID iD: 0000-0002-5194-9430
Lund University Cognitive Science.
Lund University Cognitive Science.
2013 (English)In: Artificial Intelligence in Education: 16th International Conference, AIED 2013, Memphis, TN, USA, July 9-13, 2013. Proceedings / [ed] H. C. Lane, K. Yacef, J. Mostow & P. Pavlik, Springer Berlin/Heidelberg, 2013, Vol. 7926 LNAI, 289-298 p.Conference paper, Published paper (Refereed)
Abstract [en]

A large number of studies carried out on pupils aged 8-14 have shown that teachable agent (TA) based games are beneficial for learning. The present pioneering study aimed to initiate research looking at whether TA based games can be used as far down as preschool age. Around the age of four, theory of mind (ToM) is under development and it is not unlikely that a fully developed ToM is necessary to benefit from a TA’s socially engaging characteristics. 10 preschool children participated in an experiment of playing a mathematics game. The participants playing a TA-version of the game engaged socially with the TA and were not disturbed by his presence. Thus, this study unveils exciting possibilities for further research of the hypothesised educational benefits in store for preschoolers with regard to play-and-learn games employing TAs. 

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2013. Vol. 7926 LNAI, 289-298 p.
Series
Meddelanden från Institutionen för ABM vid Uppsala universitet
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 7926
Keyword [en]
Educational benefits, Learning by teaching, Mathematics games, Preschool children, Preschoolers, Teachable agents, Theory of minds, Computer science, Artificial intelligence
National Category
Computer Science Applied Psychology Learning
Research subject
Computer Science with specialization in Human-Computer Interaction
Identifiers
URN: urn:nbn:se:uu:diva-208834DOI: 10.1007/978-3-642-39112-5_30ISBN: 978-364239111-8 ISBN: 978-3-642-39112-5 (print)OAI: oai:DiVA.org:uu-208834DiVA: diva2:654835
Conference
The 16th International Conference on Artificial Intelligence in Education (AIED2013); 9-13 July 2013; Memphis, TN, USA
Available from: 2013-10-08 Created: 2013-10-08 Last updated: 2013-10-18Bibliographically approved

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Axelsson, Anton

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CiteExportLink to record
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