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PlayPhysics: an emotional games learning environment for teaching Physics

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

Munoz, K, McKevitt, P, Lunney, T, Noguez, J and Neri, L (2010) PlayPhysics: an emotional games learning environment for teaching Physics. In: Proc. of the 4th International Conference on Knowledge Science, Engineering & Management (KSEM-2010), Europa Hotel, Belfast, Northern Ireland. Springer-Verlag. Vol 6291 12 pp. [Conference contribution]

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URL: https://springerlink3.metapress.com/content/55762763w4556045/resource-secured/?target=fulltext.pdf&sid=0malaehtzi0iej15pqzffktx&sh=www.springerlink.com

DOI: 10.1007/978-3-642-15280-1_37

Abstract

To ensure learning, game-based learning environments must incorporate assessment mechanisms, e.g. Intelligent Tutoring Systems (ITSs). ITSs are focused on recognising and influencing the learner’s emotional or motivational states. This research focuses on designing and implementing an affective student model for intelligent gaming, which reasons about the learner’s emotional state from cognitive and motivational variables using observable behaviour. A Probabilistic Relational Models (PRMs) approach is employed to derive Dynamic Bayesian Networks (DBNs). The model uses the Control-Value theory of ‘achievement emotions’ as a basis. A preliminary test was conducted to recognise the students’ prospective-outcome emotions with results presented and discussed. PlayPhysics is an emotional games learning environment for teaching Physics. Once the affective student model proves effective it will be incorporated into PlayPhysics’ architecture. The design, evaluation and post evaluation of PlayPhysics are also discussed. Future work will focus on evaluating the affective student model with a larger population of students, and on providing affective feedback.

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
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:21115
Deposited By:Professor Paul McKevitt
Deposited On:06 Mar 2012 10:46
Last Modified:06 Mar 2012 10:46

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