| Title |
Daugiaagentė sistema matematikos ir informatikos mokymui / |
| Translation of Title |
Multi-agent system for computer science and engineering education. |
| Authors |
Meleško, Jaroslav ; Kurilov, Jevgenij ; Krikun, Irina |
| DOI |
10.15388/LMR.B.2017.10 |
| Full Text |
|
| Is Part of |
Lietuvos matematikos rinkinys. Ser. B.. Vilnius : Matematikos ir informatikos institutas. 2017, T. 58, p. 57-61.. ISSN 0132-2818. eISSN 2335-898X |
| Keywords [eng] |
educational data mining ; learning analytics ; learning personalisation ; systematic literature review ; personalised recommendations |
| Abstract [eng] |
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. |
| Published |
Vilnius : Matematikos ir informatikos institutas |
| Type |
Journal article |
| Language |
Lithuanian |
| Publication date |
2017 |
| CC license |
|
