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A computational model of learners' achievement emotions using Control-Value Theory

Munoz, K, Noguez, J, Neri, L, McKevitt, P and Lunney, TF (2016) A computational model of learners' achievement emotions using Control-Value Theory. Journal of Educational Technology & Society, 19 (2). pp. 42-56. [Journal article]

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URL: http://www.ifets.info/issues.php?id=71

Abstract

Game-Based Learning (GBL) environments make instruction flexible and interactive. Positive experiences depend on personalization. Student modelling has focused on affect. Three methods are used: (1) recognizing the physiological effects of emotion, (2) reasoning about emotion from its origin and (3) an approach combining (1) and (2). These have proven successful only in labs, or use theories of emotion not associated with an educational setting. The Control-Value Theory of achievement emotions holds that appraisals of control and value are most meaningful when determining emotion. This paper focuses on the design and evaluation of an emotional student model of Control-Value Theory applied to online GBL environments using approach (2). This model is implemented using a dynamic sequence of Bayesian Networks (BNs). PlayPhysics - an emotional GBL environment for teaching Physics - was designed, implemented and evaluated with 118 students at ITESM-CCM. To evaluate our model, we employed cross-validation and Cohen’s Kappa. Our model achieved a fair to moderate accuracy of classification, but the results are promising. Future work will focus on identifying other variables that can improve classification.

Item Type:Journal article
Keywords:Affective student model, Game-based learning, Control-Value Theory, Dynamic sequence of Bayesian Networks
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Faculty of Arts
Faculty of Arts > School of Creative Arts and Technologies
Research Institutes and Groups:Computer Science Research Institute
ID Code:34454
Deposited By: Professor Paul McKevitt
Deposited On:18 Apr 2016 13:08
Last Modified:17 Oct 2017 16:23

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