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[publication] Adaptive Learner Profiling Provides the Optimal Sequence of Posed Basic Mathematical Problems

Our publication about „Adaptive Learner Profiling Provides the Optimal Sequence of Posed Basic Mathematical Problems“ at this year EC-TEL conference is now available.
Abstract:

Applications that try to enhance learners’ knowledge can profit by the creation and analysis of learner profiles. This work deals with the derivation of an optimal sequence of questions by comparing similar learning behaviour of users of a mathematics training application. The adaptation of the learners’ clusters to the answers of the revised optimal question sequence improves learning

Reference: Taraghi, B., Saranti, A., Ebner, M., Großmann, A., Müller, V. (2014) Adaptive Learner Profiling Provides the Optimal Sequence of Posed Basic Mathematical Problems. In: Open Learning and Teaching in Educational Communities. Rensing, C., de Freitas, S., Ley, T., Muñoz-Merino, P. J. (Ed.). Lecture Notes in Computer Science Volume 8719, Springer 2014, pp. 592-59

[Link to .pdf at Springer]

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