Abstract
A method for capturing the interest and authority of students about course content is proposed and implemented as a user modeling approach in a Web-based user-interactive question-answering (QA) system. An instructor has to define a topic ontology (or concept hierarchy) for the course content so that the system can generate the corresponding structure of boards to hold relevant questions. The students can interactively post questions, and browse, select, and answer others’ questions in their interested boards. The users’ log data are accumulated and organized as the users’ historical data, which are used to build the association space containing the association relations between the users’ historical data and the topic ontology. From the association space, the interest and authority of students about the questions in each board can be computed first and the interest and authority of students about each topic in the ontology can be computed based on the corresponding parameters of its offspring (sub-topics or questions). These user models (interest and authority) can be used to automatically and properly distribute relevant questions and answers to relevant students to enhance learning efficiency and help instructors design suitable teaching materials to enhance instruction efficiency.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Angehrn, A.A., Nabeth, T., Roda, C.: Towards personalized, socially aware and active e-learning systems. Calt white paper (2001), http://www.calt.insead.edu/Publication/albert.shtm
CuteAid (Website), http://www.cs.cityu.edu.hk/QA/
BuyAns (Website), http://www.buyans.com/
Wenyin, L.: CuteAid—a user-interactive QA system. Technical report, Department of computer Science, City University of Hong Kong (2006)
Huang, G., Wenyin, L.: Using web based answer hunting system to promote collaborative learning. In: Lau, R.W.H., Li, Q., Cheung, R., Liu, W. (eds.) ICWL 2005. LNCS, vol. 3583, pp. 387–396. Springer, Heidelberg (2005)
Beck, J., Woolf, B.P.: High-Level Student Modeling with Machine Learning. In: Gauthier, G., VanLehn, K., Frasson, C. (eds.) ITS 2000. LNCS, vol. 1839, pp. 584–593. Springer, Heidelberg (2000)
Beck, J.E., Woolf, B.P.: Using a learning agent with a student model. In: Goettl, B.P., Halff, H.M., Redfield, C.L., Shute, V.J. (eds.) ITS 1998. LNCS, vol. 1452, pp. 6–15. Springer, Heidelberg (1998)
Kim, H.R., Chan, P.K.: Learning implicit user interest hierarchy for context in personalization. In: Intelligent User Interfaces, pp. 101–108 (2003)
Sugiyama, K., Hatano, K., Yoshikawa, M.: Adaptive web search based on user profile constructed without any effort from users. In: Proceedings of the 13th international conference on World Wide Web table of contents, pp. 675–684. ACM Press, New York (2004)
Pazzani, M.J., Billsus, D.: Learning and revising user profiles: The identification of interesting web sites. Machine Learning 27(3), 313–331 (1997)
Grcar, M., Mladenić, D., Grobelnik, M.: User profiling for interest-focused browsing history. In: SIKDD 2005 at multiconference IS 2005, Ljubljana, Slovenia (2005)
Noy, N.F., McGuinness, D.L.: Ontology development 101: A guide to creating your first ontology. Technical report ksl-01-05, Stanford Knowledge Systems Laboratory (March 2001), http://www.ksl.Stanford.edu/people/dlm/papers/ontology-tutorial-noymcguinness
Chen, W., Zeng, Q., Wenyin, L.: A user reputation model for a user-interactive question answering system. In: Proceedings of the 2nd International Conference on Semantics, Knowledge and Grid (to appear, 2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wenyin, L., Zeng, Q., Chen, W., Min, F., Zhang, W. (2006). Using a User-Interactive QA System to Capture Student’s Interest and Authority About Course Content. In: Liu, W., Li, Q., W.H. Lau, R. (eds) Advances in Web Based Learning – ICWL 2006. ICWL 2006. Lecture Notes in Computer Science, vol 4181. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11925293_7
Download citation
DOI: https://doi.org/10.1007/11925293_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49027-2
Online ISBN: 978-3-540-68509-8
eBook Packages: Computer ScienceComputer Science (R0)