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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
https://eprints.ums.edu.my/id/eprint/41576/
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spelling my.ums.eprints.415762024-11-26T05:24:59Z https://eprints.ums.edu.my/id/eprint/41576/ Acceptability of adaptive e-learning system based on knowledge-level 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 NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/41576/1/24%20PAGES.pdf text en https://eprints.ums.edu.my/id/eprint/41576/2/FULLTEXT.pdf Vianny Tobing (2009) Acceptability of adaptive e-learning system based on knowledge-level. Masters thesis, Universiti Malaysia Sabah.
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
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
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
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
https://eprints.ums.edu.my/id/eprint/41576/
_version_ 1817843824559390720
score 13.223943

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