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Beckmann, Jennifer; Bertel, Sven; Zander, Steffi – International Association for Development of the Information Society, 2015
Adaptive e-Learning systems are able to adjust to a user's learning needs, usually by user modeling or tracking progress. Such learner-adaptive behavior has rapidly become a hot topic for e-Learning, furthered in part by the recent rapid increase in the use of MOOCs (Massive Open Online Courses). A lack of general, individual, and situational data…
Descriptors: Electronic Learning, Cognitive Style, Visual Learning, Verbal Learning
Hausler, Joel; Sanders, John W.; Young, Barbara – Online Submission, 2007
We examined the relationship between learning styles and student type. This research seeks to examine if online students exhibit different learning styles from onsite students; and, if so, what accommodations relating to learning style differences may be made for online students? Students (N = 80) were asked to complete an online survey in order…
Descriptors: Online Courses, Electronic Learning, Cognitive Style, Student Characteristics