Acceptability of adaptive e-learning system based on knowledge-level

Adaptive E-Learning (AEL) based on students’ knowledge-level contribute many benefits to its users. The study on such system is vital as currently, most AEL only consider student’s preferences, interest, and navigation behaviour when investigating student’s behaviour for personalized services. Furth...

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Main Author:	Vianny Tobing
Format:	Thesis
Language:	English English
Published:	2009
Subjects:	LB1025-1050.75 Teaching (Principles and practice)
Online Access:	https://eprints.ums.edu.my/id/eprint/41576/1/24%20PAGES.pdf https://eprints.ums.edu.my/id/eprint/41576/2/FULLTEXT.pdf
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id	my-ums-ep.41576
record_format	uketd_dc
spelling	my-ums-ep.415762024-11-26T05:24:59Z Acceptability of adaptive e-learning system based on knowledge-level 2009 Vianny Tobing LB1025-1050.75 Teaching (Principles and practice) Adaptive E-Learning (AEL) based on students’ knowledge-level contribute many benefits to its users. The study on such system is vital as currently, most AEL only consider student’s preferences, interest, and navigation behaviour when investigating student’s behaviour for personalized services. Further, compared to previous studies on AEL system, user’s acceptance towards this type of system, however, has not been assessed and understood thoroughly. In order to get more experience about the acceptance of AEL system that tailored learning content based on students’ knowledge-level, a survey consisting of 314 students have been conducted. Based on the Technology Acceptance Model (TAM), this study proposed a conceptual model of AEL system acceptance. The result of regression analysis shows a positive indication on the acceptance of AEL system among students with adaptability feature within the system affect student’s intention to use the system. The study provides insight into the usefulness of an AEL system based on students’ knowledge-level and gives more intensive view of the AEL system users. It is an important step towards a better understanding of the user’s intention on using the system in the future. 2009 Thesis https://eprints.ums.edu.my/id/eprint/41576/ https://eprints.ums.edu.my/id/eprint/41576/1/24%20PAGES.pdf text en public https://eprints.ums.edu.my/id/eprint/41576/2/FULLTEXT.pdf text en validuser masters Universiti Malaysia Sabah Sekolah Sains Informatik Labuan
institution	Universiti Malaysia Sabah
collection	UMS Institutional Repository
language	English English
topic	LB1025-1050.75 Teaching (Principles and practice)
spellingShingle	LB1025-1050.75 Teaching (Principles and practice) Vianny Tobing Acceptability of adaptive e-learning system based on knowledge-level
description	Adaptive E-Learning (AEL) based on students’ knowledge-level contribute many benefits to its users. The study on such system is vital as currently, most AEL only consider student’s preferences, interest, and navigation behaviour when investigating student’s behaviour for personalized services. Further, compared to previous studies on AEL system, user’s acceptance towards this type of system, however, has not been assessed and understood thoroughly. In order to get more experience about the acceptance of AEL system that tailored learning content based on students’ knowledge-level, a survey consisting of 314 students have been conducted. Based on the Technology Acceptance Model (TAM), this study proposed a conceptual model of AEL system acceptance. The result of regression analysis shows a positive indication on the acceptance of AEL system among students with adaptability feature within the system affect student’s intention to use the system. The study provides insight into the usefulness of an AEL system based on students’ knowledge-level and gives more intensive view of the AEL system users. It is an important step towards a better understanding of the user’s intention on using the system in the future.
format	Thesis
qualification_level	Master's degree
author	Vianny Tobing
author_facet	Vianny Tobing
author_sort	Vianny Tobing
title	Acceptability of adaptive e-learning system based on knowledge-level
title_short	Acceptability of adaptive e-learning system based on knowledge-level
title_full	Acceptability of adaptive e-learning system based on knowledge-level
title_fullStr	Acceptability of adaptive e-learning system based on knowledge-level
title_full_unstemmed	Acceptability of adaptive e-learning system based on knowledge-level
title_sort	acceptability of adaptive e-learning system based on knowledge-level
granting_institution	Universiti Malaysia Sabah
granting_department	Sekolah Sains Informatik Labuan
publishDate	2009
url	https://eprints.ums.edu.my/id/eprint/41576/1/24%20PAGES.pdf https://eprints.ums.edu.my/id/eprint/41576/2/FULLTEXT.pdf
_version_	1818611416984190976

Acceptability of adaptive e-learning system based on knowledge-level

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