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An Investigation Of The Variables That Predict Teacher E-Learning Acceptance, Juliette Attis

Doctoral Dissertations and Projects

Because of advancements in information communication technologies (ICT), education has evolved in terms of how the students are taught and how students learn. Education can take place in a traditional setting and/or a virtual learning environment (VLE). Consequently, the purpose of this quantitative predictive study was to examine variables that best predict the e-learning acceptance of public school K-12 e-learning teachers. Using a hierarchical regression analysis to analyze 112 teacher survey responses, results demonstrated that the model consisting of the predictor variables (i.e., demographics and experience variables, computer anxiety, computer self-efficacy, technological complexity, perceived convenience, perceived usefulness, and perceived ease …