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Title:Examining technological factors on e-learning acceptance and learning transfer
Author(s):Wong, Seohyun Claire
Director of Research:Li, J. Jessica
Doctoral Committee Chair(s):Li, J. Jessica
Doctoral Committee Member(s):Huang, Wen-Hao David; Scagnoli, Norma I.; Xia, Yan
Department / Program:Educ Policy, Orgzn & Leadrshp
Discipline:Human Resource Education
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Keywords: e-learning, technological factors, e-learning acceptance, learning transfer, e-learning effectiveness
Abstract:As the body of e-learning literature grows, our understanding of how e-learning works and how we make e-learning better became deeper and more complex. Although various factors affecting e-learning have been studied, our understanding of technological factors that are unique in e-learning such as computer anxiety, perceived ease of use, or controllability is still incomplete due to the ambiguous boundaries in definitions and a lack of understanding of their effects on learning outcomes. Furthermore, only a few e-learning acceptance studies have provided an integrated outlook of the e-learning system. The overall purpose of this study is to explore technological factors at the learner, instructional design, and system level and examine their effects on the e-learning acceptance and learning outcomes. The effects of eight technological factors on perceived usefulness, perceived ease of use, learner satisfaction, intention to use, actual use, and transfer motivation were measured with Structural Equation Modeling (SEM) using AMOS (version 26). 331 online MBA program students participated in the study. The result could not find the significant effects of learner’s previous technology experience or anxiety, but technology self-efficacy was found to be significant. The results highlighted the importance of instructional design and e-learning system. e-Learning providers should not only ensure the reliability of the e-learning system, but also consider providing extra features including controllability and technical support. In addition, the results suggested that the usage of the e-learning system does not guarantee learning transfer, but the usefulness of the e-learning system may facilitate both acceptance and learning transfer. Finally, the confirmatory factor analysis result indicated the need for developing better measurements for technological factors. Theoretical and practical implications from findings, limitations, and future research suggestions are discussed.
Issue Date:2020-05-07
Type:Thesis
URI:http://hdl.handle.net/2142/108160
Rights Information:Copyright 2020 Seohyun Claire Wong
Date Available in IDEALS:2020-08-26
Date Deposited:2020-05


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