Predicting Virtual Learning Environment Adoption: A Case Study

Autor/inn/en	Penjor, Sonam; Zander, Pär-Ola
Titel	Predicting Virtual Learning Environment Adoption: A Case Study
Quelle	In: Turkish Online Journal of Educational Technology - TOJET, 15 (2016) 1, S.69-81 (13 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1303-6521
Schlagwörter	Foreign Countries; Virtual Classrooms; Prediction; Case Studies; Innovation; Adoption (Ideas); Theories; College Faculty; Teacher Attitudes; Regression (Statistics); Questionnaires; Demography; Integrated Learning Systems; Predictor Variables; Statistical Analysis; Bhutan + Suchen Sie Ihr Suchwort? Ausland; Vorhersage; Case study; Fallstudie; Case Study; Ideas; Ideenfindung; Theory; Theorie; Fakultät; Lehrerverhalten; Regression; Regressionsanalyse; Fragebogen; Demografie; Prädiktor; Statistische Analyse
Abstract	This study investigates the significance of Rogers' Diffusion of Innovations (DOI) theory with regard to the use of a Virtual Learning Environment (VLE) at the Royal University of Bhutan (RUB). The focus is on different adoption types and characteristics of users. Rogers' DOI theory is applied to investigate the influence of five predictors (relative advantage, complexity, compatibility, trialability and observability) and their significance in the perception of academic staff at the RUB in relation to the probability of VLE adoption. These predictors are attributes of the VLE that determine the rate of adoption by various adopter group memberships (Innovators, Early Adopters, Early Majority, Late Majority, Laggards). Descriptive statistics and regression analysis were deployed to analyse adopter group memberships and predictor significance in VLE adoption and use. The results revealed varying attitudes towards VLE adoption by academic staff at RUB. Few predictors were consistent with previous research on VLE adoption. There were also significant differences from previous research on predictors such as the deviation in adopter frequency from that predicted by Rogers DOI theory. Therefore, it can be concluded that it is misleading to rely on the DOI theory in the way it is currently operationalised for predicting VLE use. (As Provided).
Anmerkungen	Sakarya University. Esentepe Campus, Adapazari 54000, Turkey. Tel: +90-505-2431868; Fax: +90-264-6141034; e-mail: tojet@sakarya.edu.tr; Web site: http://www.tojet.net
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01