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Work in progress - towards an emotional learning model for intelligent gaming

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Munoz, K, Noguez, J, McKevitt, P, Lunney, T and Neri, L (2010) Work in progress - towards an emotional learning model for intelligent gaming. In: 40th ASEE/IEEE International Frontiers in Education Conference, Marriott Crystal Gateway, Arlington, Virginia, Washington, DC, USA. IEEE. 2 pp. [Conference contribution]

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URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5659688

DOI: 10.1109/FIE.2010.5673225

Abstract

Recent research defines achievement emotions as emotions that are strongly related to learning and achievement contexts, where behaviors and outcomes arise during activities. Game-based learning environments reward the mastering of skills and abilities. This paper is focused on a qualitative and quantitative approach to recognizing the learner’s achievement emotions. Learners’ emotions are inferred from two sources: from observable behavior and from answers to questions in a game dialogue. The analysis and design involved in the creation of this affective student model are the central focus here. PlayPhysics, an emotional games learning environment, is being implemented for teaching Physics at undergraduate level. When our results are finalized our affective student model will be incorporated into PlayPhysics. To ensure accuracy of the recognition method, a preliminary prototyping study has been conducted. The results from this prototyping phase are presented and discussed.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Arts
Faculty of Computing & Engineering
Faculty of Arts > School of Creative Arts and Technologies
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:21114
Deposited By:Professor Paul McKevitt
Deposited On:05 Mar 2012 16:14
Last Modified:05 Mar 2012 16:14

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