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Direct linkAntonenko, Pavlo D.; Toy, Serkan; Niederhauser, Dale S. – Educational Technology Research and Development, 2012
Cluster analysis is a group of statistical methods that has great potential for analyzing the vast amounts of web server-log data to understand student learning from hyperlinked information resources. In this methodological paper we provide an introduction to cluster analysis for educational technology researchers and illustrate its use through…
Descriptors: Electronic Learning, Multivariate Analysis, Educational Technology, Profiles
Renninger, K. Ann; Cai, Ming; Lewis, Mark C.; Adams, Margot M.; Ernst, Katherine L. – Educational Technology Research and Development, 2011
As hypermedia, online teacher professional development (TPD) should ideally support diverse learners to work with online content effectively because it involves multiple representations and a nonlinear format. Differences among participants in motivation and learning provide challenges for design. The present study is a use-inspired, mixed-method…
Descriptors: Self Efficacy, Student Motivation, Hypermedia, Profiles
Dabbagh, Nada; Denisar, Katrina – Educational Technology Research and Development, 2005
For this study, we examined the cogency, comprehensiveness, and viability of team-based problem solutions of a Web-based hypermedia case designed to promote student understanding of the practice of instructional design. Participants were 14 students enrolled in a graduate course on advanced instructional design. The case was presented to students…
Descriptors: Internet, Hypermedia, Instructional Design, Web Based Instruction
