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Integrated Approach for the Detection of Learning Styles and Affective States
PROCEEDINGS

, Vienna University of Technology, Austria ; , Secure Business Austria, Austria ; , Vienna University of Technology, Austria

EdMedia + Innovate Learning, in Honolulu, HI, USA ISBN 978-1-880094-73-0 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC

Abstract

Abstract: Detecting the needs of the learner is a challenging task for systems addressing issues related to either adaptivity or personalization. In this paper we present a student-driven learning and assessment tool along with a tool for detecting/calculating learning styles and affective states. The learning and assessment tool enables learning, while the detection/calculation tool detects learning styles and affective states from the behavior of learners. The resulting behavior is then reflected in the database. This method does not require learners to fill out a lengthy questionnaire. Also, there is no need to monitor observational cues, such as gesture, posture, conversation etc. of the learner; the detection/calculation tool automatically identifies learning styles and affective states.

Citation

Khan, F.A., Weippl, E.R. & Tjoa, A.M. (2009). Integrated Approach for the Detection of Learning Styles and Affective States. In G. Siemens & C. Fulford (Eds.), Proceedings of ED-MEDIA 2009--World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 753-761). Honolulu, HI, USA: Association for the Advancement of Computing in Education (AACE). Retrieved October 15, 2019 from .

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