Malaysian Journal of Computer Science (ISSN 0127-9084)
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Article Information
Title:Intelligent Agent Based Pair Programming and Increased Self-Efficacy through Prior-Learning for Enhanced Learning Performance
Auhtor(s): L.Jegatha Deborah,R.Baskaran,A.Kannan,P.Vijayakumar,
Journal:Malaysian Journal of Computer Science (ISSN 0127-9084)
Volume:26, No 2
Keywords:E-Learning, Pair programming, Self-Efficacy, Learning Styles, E-Learning content, Recommendation Agents
Abstract:Performances of the students in learning a programming course is not same, since learning to program is greatly influenced by two dominating factors namely self-efficacy and mental efforts. Prior research efforts have shown that high self-efficacy can have an increased effect of being a trained programmer, especially in an intelligent agent based pair programming system. The main objective of this work is to increase the self-efficacy of the students by providing prior-learning experiences. This experience is facilitated by recommendation agents that provide suitable E-Learning programming course contents based on identifying their individual learning styles which can be used as a factor of prior self-learning computing experience. This helps in increasing the programming abilities when learning in an agent-based pair programming environment subsequently. Moreover, the proposed system analyzes the educational effects of the students learning using pair programming agents based on increased self-efficacy.

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