Multi-agent system for computer science and engineering education
Jaroslav Meleško
Vilniaus Gedimino technikos universitetas
Eugenijus Kurilovas
Vilniaus Gedimino technikos universitetas
Irina Krikun
Vilniaus universitetas
Published 2017-12-20


educational data mining
learning analytics
learning personalisation
systematic literature review
personalised recommendations

How to Cite

Meleško J., Kurilovas E. and Krikun I. (2017) “Multi-agent system for computer science and engineering education”, Lietuvos matematikos rinkinys, 58(B), pp. 57–61. doi: 10.15388/LMR.B.2017.10.


The paper aims to analyse application trends of intelligent multi-agent systems to personalise learning. First of all, systematic literature review was performed. Based on the systematic review analysis, the main trends on applying multi-agent systems to personalise learning were identified. Second, main requirements and components for an educational multi-agent system were formulated. Third, based on these components a model of intelligent personalized system is proposed. The system employs five intelligent agents: (1) learning styles identification software agent, (2) learner profile creation software agent, (3) pedagogical suitability software agent, (4) optimal learning units/scenarios creation software agent, and (5) learning analytics/educational data mining software agent.

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