Assessing the Acceptability of Adaptive E-Learning System

Vainny Tobing, and Muzaffar Hamzah, and Suaini Sura, and Hanudin Amin, (2008) Assessing the Acceptability of Adaptive E-Learning System. In: Fifth International Conference on eL earning for Knowledge-Based Society, 11-12 December 2008, Bangkok, Thailand.

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Official URL: http://www.ijcim.th.org/SpecialEditions/v16nSP3/13...

Abstract

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 browsing 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 TAM, this study proposed a conceptual model of AEL system acceptance. The result of regression analysis shows a positive indication on the acceptance of such system among students with the adaptability feature affect student’s intention to use the system. The study provides insight into the usefulness of an AEL system based on students’ knowledge- level. Moreover, it is an important step towards a better understanding on the user’s intention to use the system in the future as it gives a more intensive view of the AEL system users.

Item Type:Conference Paper (UNSPECIFIED)
Uncontrolled Keywords:Adaptive e-Learning, Knowledge-level, Technology Acceptance Model (TAM)
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:SCHOOL > Labuan School of Informatics Science
ID Code:6867
Deposited By:IR Admin
Deposited On:26 Sep 2013 12:02
Last Modified:30 Dec 2014 14:39

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