Abstract
One of the challenges in personalized e-learning research field is how to meet the unique learning strategies according to a learner’s personality characteristic. But a learner’s characteristic may have many attributes, and some of them have not equal value for personalized e-learning. This paper exploits the aspect to evaluate the important attributes, puts forward the concept of key personality characteristic and an improved algorithm basing on rough set theory to find the key attributes. Systematic experiments and their results are reported and shows the dimensions of personality characteristic can be decreased to below one-quarter.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Liu, D., Huang, X.: The introduction of learning research[J]. Education Research (2), 81 (2002)
Vermetten, J., Lodewijks, G., Vermunt, D.: The Role of Personality Traits and Goal Orientations in Strategy Use[J]. Contemporary Educational Psychology (26), 150–152 (2001)
Liu, R., Dai, M.: Research of Chinese college foreign language instruction reform situation and development[M]. Foreign Language Education and Research Press, Beijing (2003)
Pawlak, Z., Grzymala-Busse, J., Slowinski, R., et al.: Rough Sets[J]. Communications of the ACM 38(11), 89–95 (1995)
Pawlak, Z.: Rough set theory and its applications to data analysis[J]. Cybernetics and Systems (1998)
Krysinski, J., Skzypczak, A., Demski, G., et al.: Application of the Rough Set Theory in Structure Activity Relationships of Antielectrostatic Imidazolium Compounds[J]. Quant. Struct.-Act. Relat.,20, WILEY-VCH Verlag GmbH (2002)
Vermetten, J., Lodewijks, G., Vermunt, D.: The Role of Personality Traits and Goal Orientations in Strategy Use[J]. Contemporary Educational Psychology (26), 150–152 (2001)
Busato, V.V., Prins, F.J., Elshout, J.J., et al.: The relation between learning styles, the big five personality traits and achievement motivation in higher education[J]. Personality and Individual Differences 26, 129–140 (1999)
Nguyen, H.S.: Discretization Problem for Rough Sets Methods. In: Polkowski, L., Skowron, A. (eds.) RSCTC 1998. LNCS (LNAI), vol. 1424, pp. 545–552. Springer, Heidelberg (1998)
Skowron, A., Rauszer, C.: The discernibility matrices and functions in information systems. In: Slowinski, R. (ed.) Intelligent Decision Support –Handbook of Applications and Advances of the Rough Sets Theory[J], vol. (3), pp. 331–362. Kluwer Academic Publishers, Dordrecht (1992)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wu, X., Zheng, Q., Li, H., Liu, G. (2008). A Method to Find Learner’s Key Characteristic in Wed-Based Learning. In: Li, F., Zhao, J., Shih, T.K., Lau, R., Li, Q., McLeod, D. (eds) Advances in Web Based Learning - ICWL 2008. ICWL 2008. Lecture Notes in Computer Science, vol 5145. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85033-5_15
Download citation
DOI: https://doi.org/10.1007/978-3-540-85033-5_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85032-8
Online ISBN: 978-3-540-85033-5
eBook Packages: Computer ScienceComputer Science (R0)