The Impact of a Peer-Learning Agent Based on Pair Programming in a Programming Course

Bibliographic Data

ID20297150
AuthorsKeun-Woo Han, Keunwoo Han, EunKyoung Lee, Youngjun Lee (0000-0002-0870-6142, Korea National University of Education)
Year2010
Volume53
Issue2
Pages318-327
Publication date2010-05-01
Open AccessYes
TypeARTICLE
VenueIEEE Transactions on Education (JOURNAL)
Journal identifiersISSN: 0018-9359 • E-ISSN: 1557-9638
PublisherInstitute of Electrical and Electronics Engineers (IEEE) (PUBLISHER)
DOI10.1109/te.2009.2019121
OpenAlexW2099375547
LanguageEN
Citations received4
References cited19

This paper analyzes the educational effects of a peer-learning agent based on pair programming in programming courses. A peer-learning agent system was developed to facilitate the learning of a programming language through the use of pair programming strategies. This system is based on the role of a peer-learning agent from pedagogical and technical aspects and simulates the “tutor” and “tutee.” The peer-learning agent uses artificial intelligence methods with a Bayesian network as well as teaching and learning methods that simulate pair programming. This paper develops a model for determining students' programming abilities. In addition, the roles of the tutor and tutee are like the roles of a navigator and driver in pair programming. The developed agent system is demonstrated to have positive effects on knowledge retention and transfer in a programming course, with a greater influence on transfer than on retention. This model combining peer-learning agents with a teaching and learning strategy is more effective in helping learners to acquire programming skills

Bayesian network · Computer programming · Programming language · Transfer of learning · TUTOR · AI-based Problem Solving and Planning · Artificial Intelligence · Computer Science · Intelligent Tutoring Systems and Adaptive Learning · Multi-Agent Systems and Negotiation

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