Design a personalized e-learning system based on item response theory and artificial neural network approach

Expert Systems with Applications

Volumn 36, Issue 4, 2009, Pages 8013-8021

  Baylari, Ahmad ^a   Montazer, Gh A ^a  

^a TARBIAT MODARES UNIVERSITY   (Iran)

Author keywords

Adaptive testing; Artificial neural network (ANN); e Learning; Item response theory (IRT); Multi agent system

Indexed keywords

AGENTS; BACKPROPAGATION; E-LEARNING; EDUCATION; INTERNET; MULTI AGENT SYSTEMS; MULTIMEDIA SYSTEMS; PROGRAMMING THEORY;

ADAPTIVE TESTING; ADAPTIVITY; ARTIFICIAL NEURAL NETWORK (ANN); ARTIFICIAL NEURAL NETWORK APPROACHES; E-LEARNING SYSTEMS; FEEDBACKS]; INTERACTIVITY; ITEM RESPONSE THEORY (IRT); LEARNING EFFICIENCIES; LEARNING ENVIRONMENTS; MULTI AGENTS; MULTI-AGENT SYSTEM; PERSONALIZATION; PERSONALIZED E-LEARNING; PERSONALIZED RECOMMENDATIONS; QUALITY OF LEARNING; WEB-BASED EDUCATIONAL SYSTEMS;

NEURAL NETWORKS;

EID: 60249083914     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2008.10.080     Document Type: Article

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