Abstract
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 too positive mood can also impair learning. Thus a key issue for instructional technology is to recognize student’s mood, so as to be able to provide appropriate feedback. This paper introduces a model of student’s mood during an online self-assessment test. The model was evaluated using data emanated from experiments with 153 high school students from 3 different regions of Greece. The results confirm the model’s ability to estimate a student’s mood.
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References
Pekrun, R., Goetz, T., Titz, W., Perry, R.P.: Academic Emotions in Students’ Self-Regulated Learning and Achievement: A Program of Qualitative and Quantitative Research. Educational Psychologist 37(2), 91–105 (2002)
Goleman, D.: Emotional Intelligence. Bantam Books, NY (1995)
Lytras, M.D., Sicilia, M.A.: The knowledge society: A manifesto for knowledge and learning. International Journal of Knowledge and Learning 1(1/2), 1–11 (2005)
Ortony, A., Clore, G.L., Collins, A.: The cognitive structure of emotions. Cambridge University Press, Cambridge (1988)
Conati, C.: Probabilistic assessment of user’s emotions in education games. Journal of Applied Artificial Intelligence, special issue on managing cognition and Affect in HCI 16(7-8), 555–575 (2002)
Albano, G., Gaeta, G., Salerno, S.: E-learning: A model and process proposal. International Journal of Knowledge and Learning 2(1/2), 73–88 (2006)
Albano, G., Gaeta, G., Salerno, S.: IWT: An innovative solution for AGS e-learning model. International Journal of Knowledge and Learning 3(2/3), 209–224 (2007)
Economides, A.A.: Personalized feedback in CAT. World Scientific and Engineering Academy and Society (WSEAS) Transactions on Advances in Engineering Education 2(3), 174–181 (2005)
Economides, A.A.: Emotional feedback in CAT (Computer Adaptive Testing). International Journal of Instructional Technology & Distance Learning 3(2) (2006)
Triantafillou, E., Georgiadou, E., Economides, A.A.: Applying Adaptive Variables in Computerised Adaptive Testing. Australasian Journal of Educational Technology 23(3) (2007)
Guelich, S., Gundavaram, S., Birznieks, G.: CGI Programming with Perl, 2nd edn. O’Reilly, Cambridge (2000)
Kofler, M.: The Definitive Guide to MySQL 5, 3rd edn. Apress, Berkeley (2005)
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Moridis, C.N., Economides, A.A. (2008). Modeling Student’s Mood during an Online Self-assessment Test. In: Lytras, M.D., et al. The Open Knowlege Society. A Computer Science and Information Systems Manifesto. WSKS 2008. Communications in Computer and Information Science, vol 19. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87783-7_43
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DOI: https://doi.org/10.1007/978-3-540-87783-7_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87782-0
Online ISBN: 978-3-540-87783-7
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