An Approach for Identifying Affective States through Behavioral Patterns in Web-based Learning Management System

A. Farman, E. Weippl:
"An Approach for Identifying Affective States through Behavioral Patterns in Web-based Learning Management System";
in:"Proceedings of the 11th International Conference on Information Integration and Web Based Applications and Services (iiWAS2009)", herausgegeben von: IIWAS; ACM, 2009, ISBN: 978-1-60558-660-1.

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Abstract:


In a learning environment, the students experience different
affective states. Learning environments that takes into account the
students´ affective state enhance the students´ learning, gain and
experience. Therefore, it is crucial to provide students with
different learning material and activities according to different
affective states. To provide learning that considers students´
affective states, the primary step is the detection of affective states
of a student. In this paper, we present an approach for the
detection of affective states from the patterns of students´
behavior observed during an online course. By calculating the
affective states and then filling that affective state data into the
student model of a learning management system a basis for
adaptivity is provided.