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Miller, L. Dee; Soh, Leen-Kiat; Samal, Ashok; Kupzyk, Kevin; Nugent, Gwen – Journal of Educational Data Mining, 2015
Learning objects (LOs) are important online resources for both learners and instructors and usage for LOs is growing. Automatic LO tracking collects large amounts of metadata about individual students as well as data aggregated across courses, learning objects, and other demographic characteristics (e.g. gender). The challenge becomes identifying…
Descriptors: Comparative Analysis, Data Analysis, Hierarchical Linear Modeling, Electronic Learning
Coertjens, Liesje; van Daal, Tine; Donche, Vincent; De Maeyer, Sven; Vanthournout, Gert; Van Petegem, Peter – Studies in Educational Evaluation, 2013
Change in learning strategies during higher education is an important topic of research when considering students' approaches to learning. Regarding the statistical techniques used to analyse this change, repeated measures ANOVA is mostly relied upon. Recently, multilevel and multi-indicator latent growth (MILG) analyses have been used as well.…
Descriptors: Foreign Countries, Learning Strategies, Change, Higher Education
Rowe, Elizabeth; Baker, Ryan S.; Asbell-Clarke, Jodi – International Educational Data Mining Society, 2015
Educational games have the potential to be innovative forms of learning assessment, by allowing us to not just study their knowledge but the process that takes students to that knowledge. This paper examines the mediating role of players' moves in digital games on changes in their pre-post classroom measures of implicit science learning. We…
Descriptors: Educational Games, Science Instruction, Video Games, Coding

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