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General Information
    • ISSN: 2010-3689 (online)
    • Abbreviated Title: Int. J. Inf. Educ. Technol.
    • Frequency: Monthly
    • DOI: 10.18178/IJIET
    • Editor-in-Chief: Prof. Dr. Steve Thatcher
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Scopus (Since 2019), EI(INSPEC, IET), EBSCO, Electronic Journals Library, Google Scholar, Crossref, etc.
    • E-mail: ijiet@ejournal.net
Editor-in-chief
Prof. Dr. Steve Thatcher
QUniversity, Australia
It is my honor to be the editor-in-chief of IJIET. The journal publishes good-quality papers which focous on the advanced researches in the field of information and education technology. Hopefully, IJIET will become a recognized journal among the scholars in the related fields.

IJIET 2014 Vol.4(1): 89-92 ISSN: 2010-3689
DOI: 10.7763/IJIET.2014.V4.375

The Evaluation of a Moodle Based Adaptive e-Learning System

Herman Dwi Surjono
Abstract—This paper discusses the evaluation of an adaptive e-learning system based on student’s learning styles that has been developed using LMS Moodle. Two popular models of learning styles used are VAK and Felder. The VAK learning styles include visual, auditory, and kinesthetic, whereas the Felder learning styles include global and sequential. The evaluation focuses on the alpha and beta testing. The result shows that the adaptive e-learning system and all adaptation functionalities have performed correctly.

Index Terms—Adaptive, e-learning, learning styles, moodle.

Herman Dwi Surjono is with Electronics Education Department, Engineering College, Yogyakarta State University, Yogyakarta, Indonesia (e-mail: hermansurjono@uny.ac.id).

[PDF]

Cite: Herman Dwi Surjono, "The Evaluation of a Moodle Based Adaptive e-Learning System," International Journal of Information and Education Technology vol. 4, no. 1, pp. 89-92, 2014.

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E-mail: ijiet@ejournal.net