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.
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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)
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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
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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
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