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Factors influencing English language faculty members' adoption and integration of Web-Based Instruction (WBI) in Saudi Arabia
DISSERTATION

, University of Kansas, United States

Doctor of Philosophy, University of Kansas . Awarded

Abstract

This study investigated the factors that influence the adoption and integration of Web-Based Instruction (WBI) by English language faculty members in their regular teaching in Saudi Arabia. The study attempted to: (1) investigate the relationship between the five attributes of the Diffusion of Innovations Model (relative advantage, compatibility, complexity, trialability, and observability) and WBI adoption and integration by English language faculty members in the Saudi higher education institutions, (2) investigate the relationship between the ISTE National Educational Technology Standards for Teachers (NETS•T) and WBI adoption and integration by English language faculty members in the Saudi higher education institutions, and (3) investigate the relationship between English language faculty members' demographic variables (gender, age, academic rank, nationality, major, country of graduation, and years of teaching experience) and their adoption and integration of WBI in the Saudi higher education institutions. A total of 320 participants in 20 higher education institutions in Saudi Arabia were surveyed using a questionnaire instrument. Descriptive statistics (frequency distribution, percentage, means, and standard deviation) were calculated. Inferential statistics (multiple linear regression) were employed to test the research hypotheses. Results of this study indicated that the adoption and integration of WBI among English language faculty members in the Saudi higher education institutions is in its early stage. Rogers' five attributes of the Diffusion of Innovations Model (relative advantage, compatibility, complexity, trialability, and observability), the ISTE National Educational Technology Standards for Teachers (NETS•T), and three demographic variables (academic rank, major, and country of graduation) were found to have a statistically significant relationship with adoption and integration of WBI. Also, each of the predictor variables (the five attributes of the Diffusion of Innovations Model, the NETS•T Standards, and the demographic variables) indicated an overall relationship and contributed significantly to the prediction of the criterion variable (adoption and integration of WBI).

Citation

Alnujaidi, S.A. Factors influencing English language faculty members' adoption and integration of Web-Based Instruction (WBI) in Saudi Arabia. Doctor of Philosophy thesis, University of Kansas. Retrieved October 14, 2019 from .

This record was imported from ProQuest on October 22, 2013. [Original Record]

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