Online learning algorithm for learner knowledge model
LI Wei-shi1,MAO Xiao-guang1,XIE Jian-wen2
1. School of Computer Science, National University of Defense Technology, Changsha Hunan 410073, China 2. Hunan Research and Development Base, Beijing ChinaSchool Resource Software Research and Development Company Limited, Changsha Hunan 410003, China
LI Wei-shi MAO Xiao-guang XIE Jian-wen. Online learning algorithm for learner knowledge model[J]. Journal of Computer Applications, 2012, 32(02): 436-439.
[1]ZHANG J, CHEUNG B, HUI L. A design of an intelligent tutoring system, TR-2001-01 [R]. Hong Kong: University of Hong Kong, 2001:1-20.
[2]van LEHN K. Student modeling [M]// Foundations of Intelligent Tutoring Systems. [S.l.]:Routledge,1988:55-77.
[3]ANDERSON J R, CORBETT A T. Knowledge tracing: Modeling the acquisition of procedural knowledge[J]. User Modeling and User-adapted Interaction,1994,4(4): 253-278.
[4]REYE J. Student modeling based on belief networks [J]. International Journal of Artificial Intelligence in Education, 2004,14(1): 63-96.
[5]BAKER R S, CORBETT A T, ALEVEN V. More accurate student modeling through contextual estimation of slip and guess probabilities in Bayesian knowledge tracing [C]// ITS 2008: Proceedings of the 9th International Conference on Intelligent Tutoring Systems. Berlin: Springer-Verlag, 2008: 406-415.
[6]BECK J E, CHANG K, MOSTOW J, et al. Does help help? Introducing the Bayesian evaluation and assessment methodology [C]// ITS 2008: Proceedings of the 9th International Conference on Intelligent Tutoring Systems. Berlin: Springer-Verlag, 2008: 383-394.
[7]PARDOS Z A, HEFFERMAN N T. Modeling individualization in a Bayesian networks implementation of knowledge tracing [C]// UMAP 2010: The 18th International Conference on User Modeling, Adaptation and Personalization. Berlin: Springer-Verlag, 2010: 255-266.
[8]JENSEN F V. An introduction to Bayesian networks[M]. New York: Springer-Verlag, 1996.
[9]COHEN I, BRONSTEIN A, COZMAN F G. Online learning of Bayesian network parameters [C]// The Fourth International Conference on Natural Computation. Washington, DC: IEEE Circuits and System Society, 2008: 267-271.
[10]COHEN L, BRONSTEIN A, COZMAN F G. Adaptive online learning of Bayesian network parameters, HPL-2001-156 [R]. HP Labs, 2001.
[11]北京师范大学公共课《心理学》编写组.心理学[M].北京:北京师范大学出版社,1985: 84-89.