Classification models of students' moods during an online self-assessment test
by Christos N. Moridis, Anastasios A. Economides
International Journal of Knowledge and Learning (IJKL), Vol. 5, No. 1, 2009

Abstract: A student's emotional state is crucial during learning. When a student is in a very negative mood, learning is unlikely to occur. On the other hand, a too-positive mood can also impair learning. Thus a key issue for instructional technology is recognising the student's mood, so as to be able to provide appropriate feedback. This paper introduces student's mood models during an online self-assessment test. Two models were evaluated using data emanating from experiments with 153 high school students from three different regions of Greece. The results confirm the models' ability to estimate a student's mood.

Online publication date: Thu, 09-Apr-2009

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