Student Classification in E-Learning Systems

Kotevski, A. and Kotevska, R. (2013) Student Classification in E-Learning Systems. In: Proceedings of the Tenth Conference on Informatics and Information Technology. Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Macedonia, Skopje, Macedonia, pp. 3-6. ISBN 978-608-4699-01-9


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This paper proposes a model of an intelligent e-learning system by student's categorization in more classes, based on their qualifications, background knowledge and experience in the current domain. Before students start using the system, they have to complete a quiz with questions from specific content that student chooses. Students can select two options: select level (beginner, medium, advanced) or don't select any level (system is going to propose the most appropriate level after the quiz is completed). After the student's classification, system is going to provide learning materials adjusted to the student's performance in intensity and style that is set up from the registered student. Students could take an online quiz at every moment, and after they have successfully passed the quiz, they could join the next level class. The paper proposes adequate system architecture and algorithm for student's categorization.

Item Type: Book Section
Subjects: International Conference on Informatics and Information Technologies > eWorld - eWork, eCommerce, eBusiness, eLearning
Depositing User: Vangel Ajanovski
Date Deposited: 28 Oct 2016 00:15
Last Modified: 28 Oct 2016 00:15

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