Multi-agent system for computer science and engineering education | Zendy

Jaroslav Meleško | Zendy; Eugenijus Kurilovas | Zendy; Irina Krikun | Zendy

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Multi-agent system for computer science and engineering education

Author(s) -

Jaroslav Meleško,

Eugenijus Kurilovas,

Irina Krikun

Publication year - 2017

Publication title -

lietuvos matematikos rinkinys

Language(s) - English

Resource type - Journals

eISSN - 2335-898X

pISSN - 0132-2818

DOI - 10.15388/lmr.b.2017.10

Subject(s) - computer science , intelligent agent , software , identification (biology) , software agent , software engineering , multi agent system , software system , software analytics , analytics , artificial intelligence , data science , component based software engineering , botany , biology , programming language

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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