Classification models of students' moods during an online self-assessment test Online publication date: Thu, 09-Apr-2009
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
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Knowledge and Learning (IJKL):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com