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Testing The Technology Acceptance Model 3 (Tam 3) With The Inclusion Of Change Fatigue And Overload, In The Context Of Faculty From Seventh-Day Adventist Universities: A Revised Model, David Andrew Jeffrey
Testing The Technology Acceptance Model 3 (Tam 3) With The Inclusion Of Change Fatigue And Overload, In The Context Of Faculty From Seventh-Day Adventist Universities: A Revised Model, David Andrew Jeffrey
Dissertations
Problem.
In recent years, the use of technology in institutions of higher learning has grown significantly. The use of Learning Management Systems (LMSs) is central to this growth. LMSs assist in the ease, consistency, and effectiveness of delivering instruction to students. The challenges involved in implementing an LMS, and the time pressures placed on faculty make decisions concerning LMSs particularly crucial. Since the goal of administration is to encourage adoption and optimal usage of the LMS by as many faculty members as possible, the focus of this study is the dynamic of factors that predict usage of Learning Management Systems. …
The Development Of An Instrument For K12 Coordinators Implementing Curriculum Videoconferencing And A Model To Predict Utilization Of Videoconferencing, Janine Monica Lim
The Development Of An Instrument For K12 Coordinators Implementing Curriculum Videoconferencing And A Model To Predict Utilization Of Videoconferencing, Janine Monica Lim
Dissertations
Problem. The role of the coordinator and factors affecting their ability to support curriculum videoconferencing in relationship to the utilization of videoconferencing in the school have not been thoroughly studied. The focus of this study is the videoconference coordinatorand their influence on the utilization of videoconferencing.
Method. A measure of the usage of curriculum videoconferencing was developed and compared to a multidimensional conceptualization of factors influencing usage. The conceptualization included the development of a K12 Curriculum Videoconferencing Implementation Scale, as well as measures of educational service agency support, technical support, administrative support, and school and demographic variables. Multiple regression analysis …