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Download full textHenslee, Amber M.; Goldsmith, Jacob; Stone, Nancy J.; Krueger, Merilee – American Journal of Engineering Education, 2015
The current study compared an online academic integrity tutorial modified from Belter & du Pre (2009) to a pre-recorded online academic integrity lecture in reducing incidents of plagiarism among undergraduate students at a science and technology university. Participants were randomized to complete either the tutorial or the pre-recorded…
Descriptors: Online Courses, Electronic Learning, Video Technology, Lecture Method
Direct linkKang, Minseok; Shin, Won sug – Journal of Educational Computing Research, 2015
This study proposes an extended technology acceptance model to predict acceptance of synchronous e-learning by examining relationships among variables associated with factors influencing the technology acceptance of synchronous e-learning. Learners at an online university participated through an online survey; there were 251 respondents in all.…
Descriptors: Foreign Countries, Graduate Students, Student Attitudes, Adoption (Ideas)
Debuse, Justin C. W.; Hede, Andrew; Lawley, Meredith – Australasian Journal of Educational Technology, 2009
This study investigates the application of voice recognition technology to online lectures focusing on the efficacy of the text component of a multimedia presentation. Specifically, participants were provided with online access to multimedia instructional packages comprising an image of the lecturer with accompanying computer slides, plus…
Descriptors: Instructional Design, Semantics, Multimedia Instruction, Lecture Method
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
