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Adaptive eLearning based on individual learning styles – Performance and emotional factors

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2014

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De Gruyter Oldenbourg

Zusammenfassung

Adaptive eLearning 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 eLearning. This contribution presents original research on using differ-ences in individual learning styles. Factors related to performance, motivation, satisfac-tion, and previous knowledge were targeted and used to assess the effectiveness of the approach.

Beschreibung

Beckmann, Jennifer; Bertel, Sven; Zander, Steffi (2014): Adaptive eLearning based on individual learning styles – Performance and emotional factors. Mensch & Computer 2014 - Tagungsband. Berlin: De Gruyter Oldenbourg. ISBN: 978-3-11-034448-6. pp. 287-290. Poster Session

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