Abstract
Discovering the relationship between behavior and personality of learner in the web-based learning environment is a key to guide learners in the learning process. This paper proposes a new concept called personality mining to find the “deep” personality through the observed data about the behavior. First, a learner model which includes personality model and behavior model is proposed. Second, we have designed and implemented an improved algorithm, which is based on Apriori algorithm widely used in market basket analysis, to identify the relationship. Third, we have discussed various issues like constructing the learner model, unifying the value domain of heterogeneous model attributes, and improving Apriori algorithm with decision domain. Experiment result indicated that this algorithm for mining association rules between behavior and personality is feasible and efficient. The algorithm has been used in a web-based learning environment developed at Xi’an Jiaotong University.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
IEEE Learning Technology Standards Committee (LTSC). IEEE 1484.2, PAPI Learner Model
Agrawal, R., Srikant, R.: Fast algorithm for mining association rules. In: Proceedings of 1994 International Conference on Very Large Databases, Santiago, Chile, pp. 487–499 (1994)
Vance Wilson, E.: Student characteristics and computer-mediated communication. Computers & Education 34, 67–76 (2000)
Kim, E.B.: The role of personality in Web-based distance education courses. Communications of the ACM 47(3) (March 2004)
Carey, J.M., Kacmar, C.: The Impact of Communication Mode and Task Complexity on Small Group Performance and Member Satisfaction. Computers in Human Behavior 13(1), 23–49
Han, J., Kamber, M.: Data Mining: Concepts and Techniques. Morgan kaufamnn Publishers, San Francisco (2001)
Jun, L., Renhou, L., Qinghua, Z.: Study on the Personality Mining Method for Learners in Network Learning. Academic Journal of Xi’an Jiaotong University 38(6) (2004) (EI indexed, AN: 04358329828)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Du, J., Zheng, Q., Li, H., Yuan, W. (2005). The Research of Mining Association Rules Between Personality and Behavior of Learner Under Web-Based Learning Environment. In: Lau, R.W.H., Li, Q., Cheung, R., Liu, W. (eds) Advances in Web-Based Learning – ICWL 2005. ICWL 2005. Lecture Notes in Computer Science, vol 3583. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11528043_42
Download citation
DOI: https://doi.org/10.1007/11528043_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27895-5
Online ISBN: 978-3-540-31716-6
eBook Packages: Computer ScienceComputer Science (R0)