A fuzzy learners’ knowledge modelling system for online learning

Ng, Wen Thing and Teh, Chee Siong (2019) A fuzzy learners’ knowledge modelling system for online learning. In: The International University Carnival on e-Learning (IUCEL) 2019, 21 – 22 August 2019, DeTAR Putra, UNIMAS, Sarawak, Malaysia.

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Abstract

Many past studies report on personalising learning via intelligent systems but only a handful report on assisting instructors in personalising learning by leveraging technology. Instructors are knowledgeable in teaching and learning but they seldom put much effort to personalise learning due to the complexity of this approach. This study presents a fuzzy learners’ knowledge modelling system that addresses three issues related to the complexity of personalising learning. This study also demonstrates how this system can be applied in a real-world scenario. The case study shows that based on learners’ performance in online assessments, this system is able to assist instructors to personalise learning by planning for appropriate interventions through the insights derived from the system.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: personalised learning, assessments, fuzzy logic, fuzzy inference system, learners’ knowledge modelling system, performance reporting, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak.
Subjects: L Education > LB Theory and practice of education
L Education > LB Theory and practice of education > LB2300 Higher Education
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: 12 Dec 2019 02:08
Last Modified: 12 Dec 2019 02:08
URI: http://ir.unimas.my/id/eprint/28190

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