Literaturnachweis - Detailanzeige
Autor/inn/en | Mondi, Makingu; Woods, Peter; Rafi, Ahmad |
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Titel | A "Uses and Gratification Expectancy Model" to Predict Students' "Perceived e-Learning Experience" |
Quelle | In: Educational Technology & Society, 11 (2008) 2, S.241-261 (21 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 1436-4522 |
Schlagwörter | Research Design; Learning Strategies; Learning Experience; Educational Resources; Secondary School Students; Electronic Learning; Models; Guidelines; Blended Learning; Student Attitudes; Questionnaires; Construct Validity; Factor Analysis; Teaching Methods; Malaysia |
Abstract | This study investigates "how and why" students' "Uses and Gratification Expectancy" (UGE) for e-learning resources influences their "Perceived e-Learning Experience." A "Uses and Gratification Expectancy Model" (UGEM) framework is proposed to predict students' "Perceived e-Learning Experience," and their uses and gratifications for electronic media in a blended learning strategy. The study utilises a cross-sectional research design, and elicits data from secondary school students through a field survey-questionnaire. The findings suggest that there are significant relationships between five dimensions of students' UGE for e-learning resources, and their "Perceived e-Learning Experience." It is plausible that these UGE aspects of students' "communication behaviour" towards electronic media are important determinants of effective integration of the e-learning resources in school-curriculum. While this research focuses on students at secondary-school level, some elements in the UGE model may apply to students using e-learning resources at other levels of their education. This model gives researchers and educators a new tool to forecast the success of development and deployment of e-learning resources in education systems. (Contains 10 tables and 2 figures.) (As Provided). |
Anmerkungen | International Forum of Educational Technology & Society. Athabasca University, School of Computing & Information Systems, 1 University Drive, Athabasca, AB T9S 3A3, Canada. Tel: 780-675-6812; Fax: 780-675-6973; Web site: http://www.ifets.info |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2017/4/10 |