Design and Development of Topic-based Students’ Knowledge Modelling System using Fuzzy Set Theory and Visual Analytics

Wen Thing, Ng and Chee Siong, Teh and Chwen Jen, Chen (2018) Design and Development of Topic-based Students’ Knowledge Modelling System using Fuzzy Set Theory and Visual Analytics. International Journal of Engineering and Technology, 7 (4.31). pp. 87-94. ISSN 2227-524X

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Abstract

To the field of education, advances in technologies raise opportunities and challenges in delivering personalised learning to heterogeneous group of learners while monitoring and analysing their learning progress and learning outcomes. This paper addresses the challenges of gaining a big picture about learners’ knowledge that is essential for providing personalised learning. Next, a system that models students’ knowledge is proposed in which topic-based approach, fuzzy set theory, and visual analytics were applied to design and develop the proposed system. The proposed system was designed with the capabilities to model, analyse and report individual learner’s knowledge, whereas its applicability was presented and discussed based on a real-world case study.

Item Type: E-Article
Uncontrolled Keywords: Fuzzy set theory; Knowledge modelling system; Topic-based student modelling system; Visual analytics, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Academic Faculties, Institutes and Centres > Faculty of Cognitive Sciences and Human Development
Depositing User: Siong
Date Deposited: 17 Dec 2018 03:00
Last Modified: 09 Jul 2019 08:21
URI: http://ir.unimas.my/id/eprint/22689

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