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IJIET 2013 Vol.3(2): 217-221 ISSN: 2010-3689
DOI: 10.7763/IJIET.2013.V3.267

An Empirical Analysis of the Antecedents and Performance Consequences of Using the Moodle Platform

Chun-Che Huang, Yu-Min Wang, Tsin-Wei Wu, and Pei-An Wang

Abstract—With the rapid development of the Internet, constructing the e-learning system has been an integral part of many educational institutions. This study uses the Moodle system to make up for the shortcomings of learning in a large class, and find out the difference of learning performance and acceptance between traditional learning and digital learning. The study is experimented with the students in the Calculus course. There are two part of research design in the study. The first part corresponds to learning performance, which uses the quasi-experimental method to compare the difference of the experimental group, and the control group. The second part refers to technology acceptance, where the unified theory of acceptance use of technology (UTAUT) is used. With two dimensions: Outcome Expectation and Attainment Value, a new hybrid technology acceptance model is proposed to investigate the students’ intentions to use Moodle systems. Data Analysis of this study shows a great promising in providing new academic research evidence in e-learning teaching.

Index Terms—E-Learning, moodle system, UTAUT model, learning performance.

The authors are with Nation Chi Nan University, Taiwan 545, R.O.C. (e-mail: ymwang@ncnu.edu.tw).

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Cite: Chun-Che Huang, Yu-Min Wang, Tsin-Wei Wu, and Pei-An Wang, "An Empirical Analysis of the Antecedents and Performance Consequences of Using the Moodle Platform," International Journal of Information and Education Technology vol. 3, no. 2, pp. 217-221, 2013.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Jon-Chao Hong
  • Managing Editor: Ms. Nancy Y. Liu
  • E-mail: editor@ijiet.org
  • Abstracting/ Indexing: Scopus (CiteScore 2023: 2.8), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • Article Processing Charge: 800 USD

 

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