End-User Acceptance of a Learning Management System in Two Hybrid Large-Sized Introductory Undergraduate Courses: A Case Study

Abstract

Drawing from the Technology Acceptance Model, this correlational study was intended to determine student users' adoption of WebCT and its relationship to their final grade. In acknowledging the relevance of human-computer interaction, the author attempted to investigate a belief-attitude-behavior relationship in a WebCT setting. Given a social learning approach, two external variables affecting the relationship were taken into account. The qualitative inquiry involved two large-sized undergraduate hybrid courses with a total of 469 students participating. To model both direct and indirect causal effects as well as measurement error, path analysis was conducted, using structural equation modeling. Implications for practitioners and researchers and addressed.

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