A modeling method based on Bayesian networks in intelligent tutoring system

Proceedings of the 2007 11th International Conference on Computer Supported Cooperative Work in Design, CSCWD

Volumn , Issue , 2007, Pages 967-972

  Liu, Zhi ^a   Wang, Haiquan ^a  

^a ZHEJIANG UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Assessment; Bayesian network; Student model

Indexed keywords

COMPUTER AIDED INSTRUCTION; DATA STRUCTURES; DISTRIBUTED PARAMETER NETWORKS; E-LEARNING; EDUCATION COMPUTING; FILE ORGANIZATION; GROUPWARE; INFERENCE ENGINES; INTELLIGENT NETWORKS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; INTERACTIVE COMPUTER SYSTEMS; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; SPEECH ANALYSIS; STUDENTS;

ASSESSING METHOD; ASSESSMENT; BAYESIAN NETWORK; CASE STUDIES; COMPUTER-SUPPORTED COOPERATIVE WORK; INTELLIGENT TUTORING SYSTEM; INTERNATIONAL CONFERENCES; LEARNING PROCESSES; LOGISTIC MODELS; MODELING METHODS; STUDENT MODEL; STUDENT'S PERFORMANCE; THREE PARAMETERS;

BAYESIAN NETWORKS;

EID: 47649083488     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSCWD.2007.4281569     Document Type: Conference Paper

References (12)

1. Abigail S. Gertner and Cristina Conati and Kurt Vanlehn. Procedural help in Andes: Generating hints using a Bayesian networks student model. 1998.
2. Almond, R.G., Dibello, L., Jenkins, F., Mislevy, R.J., Senturk, D., Steinberg, L.S. and Yan, D. [2001]. "Models for Conditional Probability Tables in Educational Assessment". Artificial Intelligence and Statistics 2001 Jaakkola and Richardson (eds)., Morgan Kaufmann, 137-143.
3. C. Huang, A. Darwiche, Inference in Belief Networks: A procedural guide, International Journal of Approximate Reasoning, 1994.
4. Collins,J.A.,Greer,J.E. and Huang, S.H.: 1996, Adaptive assessment using granularity hierarchies and Bayesian nets. In: Lecture Notes in Computer Science: Vol. 1086. Proceedings of 3rd International Conference ITS'96, Berlin Heidelberg: Springer Verlag, pp,569-577.
5. E. Millian and J. L. P'erez-de-la-Cruz. A bayesian diagnostic algorithm for student modeling and its evaluation. User modeling, 2002.
6. F.V. Jensen., An Introduction to Bayesian networks (London, U.K: University College London Press, 1996).
7. Heckerman, D., A tutorial on learning with bayesian networks, Learning and Inference in Graphical Models, Kluwer Academic Publisher, 1998.
8. Ivailo Partchev, A visual guide to item response theory, 2004.6.6
9. Olea, J. & Ponsoda, V. Tests Adaptativos Informatizados. In Muñiz, J.(ed) Psicometria. Madrid: Universitas, 1996.
10. Pearl J., Probabilistic reasoning in intelligent system: networks of plausible inference, (Morgan Kaufmann: San Mateo CA, 1988)
11. Rahel Bekele, A Bayesian Approach to Predict Performance of a Student (BAPPS): a Case with Ethiopian Students.
12. Z. Ghahramami and M. Jordan. Learning from incomplete data. Technical Report Al Lab Memo. No.1509, CBCL Paper No.108, MIT Al Lab, August 1995.