Design and Development of a Fuzzy Learners’ Knowledge Modelling System

Various past studies reported on how to personalise learning via intelligent systems, but few studies reported on how to assist instructors in providing personalised learning via leverage of technologies. Instructors are knowledgeable in teaching and learning but they shy away from personalising le...

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Main Author:	Ng, Wen Thing
Format:	Thesis
Language:	English
Published:	2019
Subjects:	LB Theory and practice of education QA76 Computer software
Online Access:	http://ir.unimas.my/id/eprint/25610/4/Ng%20Wen%20Thing.pdf
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id	my-unimas-ir.25610
record_format	uketd_dc
spelling	my-unimas-ir.256102023-09-20T03:11:02Z Design and Development of a Fuzzy Learners’ Knowledge Modelling System 2019-07 Ng, Wen Thing LB Theory and practice of education QA75 Electronic computers. Computer science QA76 Computer software Various past studies reported on how to personalise learning via intelligent systems, but few studies reported on how to assist instructors in providing personalised learning via leverage of technologies. Instructors are knowledgeable in teaching and learning but they shy away from personalising learning due to its complexity. This study thus aims to design and develop a learners’ knowledge modelling system that is able to assist the instructors in personalising learning. This study focuses on three issues related to the complexity of personalising learning. First issue concerns about how the proposed system fit with the desired curriculum. Another two issues are about reasoning and examining the knowledge of a large group of learners. Various relevant past studies are discussed in this study, in order to identify and justify the available technologies for tackling these issues. A key to this study is determining learners’ knowledge because it is lexically imprecise. This study attempts to embed a fuzzy inference system into the proposed system for reasoning learners’ knowledge, as it can mathematically deal with uncertainties. Details of the design and development of both proposed systems are described and justified in this study. This study also demonstrates the applicability of the proposed system via a real-world case study of an undergraduate course. In conclusion, the proposed system shows that it is able to inform the appropriateness of the instructor’s practice and assist them to plan for interventions to personalise learning. Future studies are needed to extend this study in terms of usability, scalability, sustainability and accessibility, in order to support large-scale implementation in future. Universiti Malaysia Sarawak (UNIMAS) 2019-07 Thesis http://ir.unimas.my/id/eprint/25610/ http://ir.unimas.my/id/eprint/25610/4/Ng%20Wen%20Thing.pdf text en validuser masters Universiti Malaysia Sarawak Faculty of Cognitive Sciences and Human Development Universiti Malaysia Sarawak
institution	Universiti Malaysia Sarawak
collection	UNIMAS Institutional Repository
language	English
topic	LB Theory and practice of education LB Theory and practice of education QA76 Computer software
spellingShingle	LB Theory and practice of education LB Theory and practice of education QA76 Computer software Ng, Wen Thing Design and Development of a Fuzzy Learners’ Knowledge Modelling System
description	Various past studies reported on how to personalise learning via intelligent systems, but few studies reported on how to assist instructors in providing personalised learning via leverage of technologies. Instructors are knowledgeable in teaching and learning but they shy away from personalising learning due to its complexity. This study thus aims to design and develop a learners’ knowledge modelling system that is able to assist the instructors in personalising learning. This study focuses on three issues related to the complexity of personalising learning. First issue concerns about how the proposed system fit with the desired curriculum. Another two issues are about reasoning and examining the knowledge of a large group of learners. Various relevant past studies are discussed in this study, in order to identify and justify the available technologies for tackling these issues. A key to this study is determining learners’ knowledge because it is lexically imprecise. This study attempts to embed a fuzzy inference system into the proposed system for reasoning learners’ knowledge, as it can mathematically deal with uncertainties. Details of the design and development of both proposed systems are described and justified in this study. This study also demonstrates the applicability of the proposed system via a real-world case study of an undergraduate course. In conclusion, the proposed system shows that it is able to inform the appropriateness of the instructor’s practice and assist them to plan for interventions to personalise learning. Future studies are needed to extend this study in terms of usability, scalability, sustainability and accessibility, in order to support large-scale implementation in future.
format	Thesis
qualification_level	Master's degree
author	Ng, Wen Thing
author_facet	Ng, Wen Thing
author_sort	Ng, Wen Thing
title	Design and Development of a Fuzzy Learners’ Knowledge Modelling System
title_short	Design and Development of a Fuzzy Learners’ Knowledge Modelling System
title_full	Design and Development of a Fuzzy Learners’ Knowledge Modelling System
title_fullStr	Design and Development of a Fuzzy Learners’ Knowledge Modelling System
title_full_unstemmed	Design and Development of a Fuzzy Learners’ Knowledge Modelling System
title_sort	design and development of a fuzzy learners’ knowledge modelling system
granting_institution	Universiti Malaysia Sarawak
granting_department	Faculty of Cognitive Sciences and Human Development
publishDate	2019
url	http://ir.unimas.my/id/eprint/25610/4/Ng%20Wen%20Thing.pdf
_version_	1783728299096145920

Design and Development of a Fuzzy Learners’ Knowledge Modelling System

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