Abstract
The specific contribution aims to provide a web-based adaptive Learning Management System (LMS), named EVMATHEIA, which integrates specific innovative fundamental aspects of Student Learning Style and Intelligent Self-Assessment Mechanisms. More specifically the proposed adaptive system encapsulates an integrated student model that facilitates the decision about the learning style of the student monitoring his/her behavior. Furthermore, the platform utilizes semantic modeling techniques for the representation of the knowledge, semantically annotated educational material and an intelligent mechanism for the self-assessment and recommendation process.
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Moutafi, K. et al. (2013). Mining Student Learning Behavior and Self-assessment for Adaptive Learning Management System. In: Iliadis, L., Papadopoulos, H., Jayne, C. (eds) Engineering Applications of Neural Networks. EANN 2013. Communications in Computer and Information Science, vol 384. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41016-1_8
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DOI: https://doi.org/10.1007/978-3-642-41016-1_8
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