Volume 8 Number 1 (Mar. 2018)
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IJEEEE 2018 Vol.8(1): 44-50 ISSN: 2010-3654
doi: 10.17706/ijeeee.2018.8.1.44-50

Developing Web-Based Lessons to Improve Khon Kaen University Graduate Students’ Reading Skills

Theptewan Duangdee, Poranee Deerajviset
Abstract—The aims of this study were to examine Khon Kaen University graduate students’ reading skills after learning via web-based lessons and to investigate the attitudes of Khon Kaen University graduate students toward learning via web-based lessons to improve their reading skills. The participants were 63 graduate students who enrolled in Reading in English for Graduate Students course in the first semester of academic year 2016. The instruments used in this study were 1) the pretest and the posttest, 2) web-based lessons, 3) the questionnaire, and 4) the interview. The research findings revealed that the mean score of the posttest was significantly higher than the pretest which means that students’ reading skills were significantly increased at 0.05 level after learning via web-based lessons (t-Test = 10.417). Moreover, the average mean scores of web-based exercises were considered as high level (M = 74.68, S.D. = 8.56). According to the analysis from the questionnaire, the results showed that students’ attitudes toward learning via web-based lessons were at a high level (M = 4.03, S.D. = 0.71). From the interview, students stated that web-based lessons are effective tools to learn and they found that it is fun to learn via web-based lessons. Students also suggested that web-based lessons should be integrated with other English skills.

Index Terms—Graduate students, moodle, reading skills, web-based lessons.

The authors are with Department of English Language, Faculty of Humanities and Social Sciences, Khon Kaen University, Khon Kaen, Thailand (email: theptewan.d@gmail.com).

Cite: Theptewan Duangdee, Poranee Deerajviset, "Developing Web-Based Lessons to Improve Khon Kaen University Graduate Students’ Reading Skills," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 8, no. 1, pp. 44-50, 2018.

General Information

ISSN: 2010-3654
Frequency: Quarterly (Since 2015)
Editor-in-Chief: Prof. Kuan-Chou Chen
Executive Editor: Mr. Ron C. Wu
Abstracting/ Indexing: Engineering & Technology Digital Library, Google Scholar, Electronic Journals Library, QUALIS, ProQuest, EI (INSPEC, IET)
E-mail: ijeeee@iap.org
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