Intelligent Agent Based Pair Programming and Increased Self-Efficacy through Prior-Learning for Enhanced Learning Performance

Malaysian Journal of Computer Science

A.Kannan¹  R.Baskaran¹  L.Jegatha Deborah¹  P.Vijayakumar¹ 

关键词: E-Learning;    Pair programming;    Self-Efficacy;    Learning Styles;    E-Learning content;    Recommendation Agents;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: University of Malaya * Faculty of Computer Science and Information Technology

【 摘 要 】

Performances of the students in learning a programming course is not same, since learning to program isgreatly influenced by two dominating factors namely self-efficacy and mental efforts. Prior research efforts haveshown that high self-efficacy can have an increased effect of being a trained programmer, especially in anintelligent agent based pair programming system. The main objective of this work is to increase the self-efficacyof the students by providing prior-learning experiences. This experience is facilitated by recommendationagents that provide suitable E-Learning programming course contents based on identifying their individuallearning styles which can be used as a factor of prior self-learning computing experience. This helps inincreasing the programming abilities when learning in an agent-based pair programming environmentsubsequently. Moreover, the proposed system analyzes the educational effects of the students learning usingpair programming agents based on increased self-efficacy.

【 授权许可】

Unknown