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Direct linkChen, 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
Peer reviewedErwin, 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
