Staff View: CHAPTER 3 : Predicting students’ behavioural engagement in microlearning using learning analytics model

CHAPTER 3 : Predicting students’ behavioural engagement in microlearning using learning analytics model

The student centred learning is one of the e-learning service factors in universities and schools that have been improved with added values. Now, students can access the e-learning platform on a cloud server with their mobile devices. Several ways and practices in e-learning today include learning...

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Main Authors:	Wan Hamzah, Dr. Wan Mohd Amir Fazamin, Ismail, Ts. Dr. Ismahafezi, Yusoff @ Che Abdullah, Prof. Madya Dato' Ts. Dr. Mohd Hafiz
Format:	Book Section
Language:	English English
Published:	Institution of Engineering & Technology (IET) 2021
Subjects:	T Technology (General)
Online Access:	http://eprints.unisza.edu.my/4763/1/FH05-FIK-21-51589.pdf http://eprints.unisza.edu.my/4763/2/FH05-FIK-21-56532.pdf http://eprints.unisza.edu.my/4763/
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id	my-unisza-ir.4763
record_format	eprints
spelling	my-unisza-ir.47632022-01-17T08:07:25Z http://eprints.unisza.edu.my/4763/ CHAPTER 3 : Predicting students’ behavioural engagement in microlearning using learning analytics model Wan Hamzah, Dr. Wan Mohd Amir Fazamin Ismail, Ts. Dr. Ismahafezi Yusoff @ Che Abdullah, Prof. Madya Dato' Ts. Dr. Mohd Hafiz T Technology (General) The student centred learning is one of the e-learning service factors in universities and schools that have been improved with added values. Now, students can access the e-learning platform on a cloud server with their mobile devices. Several ways and practices in e-learning today include learning management systems (LMS), blended learning, microlearning, mobile learning, open learning, selflearning, and virtual learning. Microlearning refers to the micro perspective in learning contact, education, and exercise. Student engagement is one of the key indicators of a successful implementation of e-learning. Those studies were carried out based on the educational data mining technique, which is widely used in analysing the various patterns of online learning behaviour and predicting learning outcomes. Another popular technique that uses a similar approach but with different focus is learning analytics. © The Institution of Engineering and Technology 2021. Institution of Engineering & Technology (IET) 2021 Book Section NonPeerReviewed text en http://eprints.unisza.edu.my/4763/1/FH05-FIK-21-51589.pdf text en http://eprints.unisza.edu.my/4763/2/FH05-FIK-21-56532.pdf Wan Hamzah, Dr. Wan Mohd Amir Fazamin and Ismail, Ts. Dr. Ismahafezi and Yusoff @ Che Abdullah, Prof. Madya Dato' Ts. Dr. Mohd Hafiz (2021) CHAPTER 3 : Predicting students’ behavioural engagement in microlearning using learning analytics model. In: E-learning Methodologies: Fundamentals, technologies and applications. Institution of Engineering & Technology (IET), United Kingdom, pp. 53-78. ISBN 9781839531200
institution	Universiti Sultan Zainal Abidin
building	UNISZA Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Sultan Zainal Abidin
content_source	UNISZA Institutional Repository
url_provider	https://eprints.unisza.edu.my/
language	English English
topic	T Technology (General)
spellingShingle	T Technology (General) Wan Hamzah, Dr. Wan Mohd Amir Fazamin Ismail, Ts. Dr. Ismahafezi Yusoff @ Che Abdullah, Prof. Madya Dato' Ts. Dr. Mohd Hafiz CHAPTER 3 : Predicting students’ behavioural engagement in microlearning using learning analytics model
description	The student centred learning is one of the e-learning service factors in universities and schools that have been improved with added values. Now, students can access the e-learning platform on a cloud server with their mobile devices. Several ways and practices in e-learning today include learning management systems (LMS), blended learning, microlearning, mobile learning, open learning, selflearning, and virtual learning. Microlearning refers to the micro perspective in learning contact, education, and exercise. Student engagement is one of the key indicators of a successful implementation of e-learning. Those studies were carried out based on the educational data mining technique, which is widely used in analysing the various patterns of online learning behaviour and predicting learning outcomes. Another popular technique that uses a similar approach but with different focus is learning analytics. © The Institution of Engineering and Technology 2021.
format	Book Section
author	Wan Hamzah, Dr. Wan Mohd Amir Fazamin Ismail, Ts. Dr. Ismahafezi Yusoff @ Che Abdullah, Prof. Madya Dato' Ts. Dr. Mohd Hafiz
author_facet	Wan Hamzah, Dr. Wan Mohd Amir Fazamin Ismail, Ts. Dr. Ismahafezi Yusoff @ Che Abdullah, Prof. Madya Dato' Ts. Dr. Mohd Hafiz
author_sort	Wan Hamzah, Dr. Wan Mohd Amir Fazamin
title	CHAPTER 3 : Predicting students’ behavioural engagement in microlearning using learning analytics model
title_short	CHAPTER 3 : Predicting students’ behavioural engagement in microlearning using learning analytics model
title_full	CHAPTER 3 : Predicting students’ behavioural engagement in microlearning using learning analytics model
title_fullStr	CHAPTER 3 : Predicting students’ behavioural engagement in microlearning using learning analytics model
title_full_unstemmed	CHAPTER 3 : Predicting students’ behavioural engagement in microlearning using learning analytics model
title_sort	chapter 3 : predicting students’ behavioural engagement in microlearning using learning analytics model
publisher	Institution of Engineering & Technology (IET)
publishDate	2021
url	http://eprints.unisza.edu.my/4763/1/FH05-FIK-21-51589.pdf http://eprints.unisza.edu.my/4763/2/FH05-FIK-21-56532.pdf http://eprints.unisza.edu.my/4763/
_version_	1724079381278621696
score	13.211869

CHAPTER 3 : Predicting students’ behavioural engagement in microlearning using learning analytics model

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