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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
Williams, Chad James – ProQuest LLC, 2013
The purpose of this study was to determine whether students associated with a generational group exhibit similar learning styles as identified by the Felder and Soloman Index of Learning Styles instrument. The secondary purpose was to determine to what degree these generational groups rate their satisfaction with online education through the use…
Descriptors: Cognitive Style, College Students, Generational Differences, Electronic 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