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Nagy, Judit T. – International Review of Research in Open and Distributed Learning, 2018
The aim of the study was to examine the determining factors of students' video usage and their learning satisfaction relating to the supplementary application of educational videos, accessible in a Moodle environment in a Business Mathematics Course. The research model is based on the extension of "Technology Acceptance Model" (TAM), in…
Descriptors: Online Courses, Electronic Learning, Multimedia Materials, Mathematics Activities
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Chen, Baiyun; Sivo, Stephen; Seilhamer, Ryan; Sugar, Amy; Mao, Jin – Journal of Educational Computing Research, 2013
Mobile learning is a fast growing trend in higher education. This study examined how an extended technology acceptance model (TAM) could evaluate and predict the use of a mobile application in learning. A path analysis design was used to measure the mediating effects on the use of Blackboard's Mobile™ Learn application in coursework (N = 77). The…
Descriptors: Telecommunications, Higher Education, Handheld Devices, Educational Technology
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Pynoo, Bram; Tondeur, Jo; van Braak, Johan; Duyck, Wouter; Sijnave, Bart; Duyck, Philippe – Computers & Education, 2012
In this study, teachers' acceptance and use of an educational portal is assessed based on data from two sources: usage data (number of logins, downloads, uploads, reactions and pages viewed) and an online acceptance questionnaire. The usage data is extracted on two occasions from the portal's database: at survey completion (T1) and twenty-two…
Descriptors: Predictor Variables, Intention, Secondary School Teachers, Adoption (Ideas)
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Erwin, T. Dary; Nelson, Randall B. – Journal of Educational Computing Research, 1986
Describes development of a causal model to test effects of scholastic ability, computing attitudes, and computing background of university undergraduates on use of a computer-assisted instructional system, PLATO-LDEC; on attitudes toward PLATO-LDEC; on computing attitudes after students' PLATO-LDEC experience; and on course grade. (Author/MBR)
Descriptors: Academic Ability, Computer Assisted Instruction, Courseware, Engineering Education