Abstract
In this paper we show how clustering techniques can be applied to student answers generated from a web-based tutoring tool. In particular we are interested in extracting clusters of students based on the mistakes they made using the tool, with the aim of obtaining pedagogically relevant information and providing this feedback to the teacher. The data we used comes from the Logic-ITA, a web-based tutoring tool to practice formal proofs currently in use in the School of Information Technologies at the University of Sydney.
Chapter PDF
Similar content being viewed by others
References
Abraham D., Crawford L., Lesta L., Merceron A. and Yacef K., The Logic Tutor: A Multimedia Presentation, Interactive Multimedia Electronic Journal of Computer-Enhanced learning, Vol. 3, Nb. 2, Nov. 2001.
Benchaffai M., Debord G., Merceron A., and Yacef K., TADA-Ed, a tool to visualize and mine students’ work. Submitted paper. 2004
Bisson G., Bronner A., Gordon M.T., Nicaud J.-E, Renaudie D., Analyse statistique de comportements d’eleves en algebre, Proceedings of Environnement Informatiques pour l’Apprentissage Humain, Strasbourg, France, pp.67–78, 2003
Han J., and Kamber M., Data Mining: Concepts and Techniques, Morgan Kaufmann Publishers, 2001
Lesta L. and Yacef K., An Intelligent Teaching-Assistant System for Logic, Proceedings of Intelligent Tutoring Systems, Biarritz, France, Springer-Verlag, June 2002.
Merceron A., and Yacef K., A web-based tutoring tool with mining facilities to Improve Teaching and Learning. Proceedings of the 11th International Conference on Artificial Intelligence in Education, IOS Press, Sydney, Australia, pp.201–208 2003
Romero, C, Ventura S., de Castro C, Hall W. and Ng M.H., Using Genetic Algorithms for Data Mining in Web-based Educational Hypermedia Systems. In Workshop on Adaptive Systems for Web-based Education, Malaga, Spain, 2002.
Tang T.Y., McCalla G., Student Modeling for a Web-based Learning Environment: a Data Mining Approach. Eighteenth national conference on Artificial intelligence, Edmonton, Alberta, Canada, pp.967–968, 2002
http://www.spss.com/clementine/
Zaiane, O.R. Web Usage Mining for a Better Web-Based Learning Environment. Proceedings of Conference on Advanced Technology for Education (CATE’01). Banff, Alberta 2001.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 International Federation for Information Processing
About this paper
Cite this paper
Merceron, A., Yacef, K. (2005). Clustering Students to Help Evaluate Learning. In: Courtiat, JP., Davarakis, C., Villemur, T. (eds) Technology Enhanced Learning. IFIP WCC TC3 2004. IFIP International Federation for Information Processing, vol 171. Springer, Boston, MA. https://doi.org/10.1007/0-387-24047-0_3
Download citation
DOI: https://doi.org/10.1007/0-387-24047-0_3
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-24046-6
Online ISBN: 978-0-387-24047-3
eBook Packages: Computer ScienceComputer Science (R0)