Bayesian networks in educational testing

International Journal of Uncertainty, Fuzziness and Knowldege-Based Systems

Volumn 12, Issue SUPPL. 1, 2004, Pages 83-100

  Vomlel, Jiří ^a,b  

^a INSTITUTE OF INFORMATION THEORY AND AUTOMATION   (Czech Republic)

^b UNIVERSITY OF ECONOMICS   (Czech Republic)

Author keywords

Bayesian networks; Computerized adaptive testing; Diagnosis of skills; Educational testing

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BEHAVIORAL RESEARCH; FUNCTIONS; KNOWLEDGE BASED SYSTEMS; MATHEMATICAL MODELS; PROBABILITY DISTRIBUTIONS;

BAYESIAN NETWORKS; COMPUTERIZED ADAPTIVE TESTING; DIAGNOSIS OF SKILLS; EDUCATIONAL TESTING;

EDUCATION;

EID: 8444243358     PISSN: 02184885     EISSN: None     Source Type: Journal    
DOI: 10.1142/S021848850400259X     Document Type: Article

References (26)

1. Russell. G. Almond, Lou Dibello, Prank Jenkins, Deniz Senturk, Robert J. Mislevy, Linda S. Steinberg, and Duanli Yan. Models for conditional probability tables in educational assessment. In Proc. of the 2001 Conference on AI and Statistics. Society for AI and Statistics, 2001.
2. Russell G. Almond and Robert J. Mislevy. Graphical models and computerized adaptive testing. Applied Psychological Measurement, 23(3):223-237, 1999.
3. Moshe Ben-Bassat, Myopic policies in sequential classification. IEEE Transactions on Computers, 27(2): 170-174, 1978.
4. Linas Büténas, Agné Brilingaité, Alminas Čivilis, Xuepeng Yin, and Nora Zokaité. Computerized adaptive test based on Bayesian network for basic operations with fractions. Student project report, Aalborg University, 2001. http://www.cs.auc.dk/library.
5. Jie Cheng and Russell Greiner. Comparing bayesian network classifiers. In Kathryn Blackmond Laskey and Henri Prade, editors, Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence (UAI-99), pages 101-108. Morgan Kaufmann Publishers, 1999.
6. Cristina Conati, Abigail S. Gertner, Kurt VanLehn, and Marek J. Druzdzel. On-line student modeling for coached problem solving using Bayesian networks. In Anthony Jameson, Cecile Paris, and Carlo Tasso, editors, Proc. of the Sixth Int. Conf. on User Modeling (UM97), Chia Laguna, Sardinia, Italy, pages 231-242. Springer Verlag, 1997.
7. Thomas G. Dietterich. Approximate statistical tests for comparing supervised classification learning algorithms. Neural Computing, 10(7):1895-1924, 1998.
8. Hugin Explorer, ver. 6.0. Computer software, 2002. http://www.hugin.com.
9. N. Friedman, D. Geiger, and M. Goldszmitdt. Bayesian network classifiers. Machine Learning, 29:131-163, 1997.
10. Finn V. Jensen. Bayesian Networks and Decision Graphs. Springer Verlag, New York, 2001.
11. Frank Jensen, Uffe B. Kjærulff, Michael Lang, and Anders L. Madsen. Hugin - the tool for Bayesian networks and Influence diagrams. In J. A. Gámez and A. Salmeron, editors, Proceedings of the First European Workshop on Probabilistic Graphical Models, PGM 2002, pages 211-221, 6-8 November 2002.
12. Ron Kohavi. A study of cross-validation and bootstrap for accuracy estimation and model selection. In C. S. Mellish, editor, Proceedings of the International Joint Confrence on Artificial Intelligence (IJCAI 95), page C. S. Mellish. Morgan Kaufmann Publishers, 1995.
13. Steffen L. Lauritzen. The EM-algorithm for graphical association models with missing data. Computational Statistics and Data Analysis, 1:191-201, 1995.
14. Steffen L. Lauritzen. Graphical Models. Clarendon Press, Oxford, 1996.
15. David Madigan and Russell G. Almond. On test selection strategies for belief networks. In D. D. Fisher and H. Lenz, editors, Learning from Data: Artificial Intelligence and Statistics, volume V, pages 89-98. Springer Verlag, 1996.
16. Rob R. Meijer and Michael L. Nering. Computerized adaptive testing: Overview and introduction. Applied Psychological Measurement, 23(3):187-194, 1999. Special Issue: Computerized Adaptive Testing.
17. Eva Millán and José Luis Pérez-de-la-Cruz. A Bayesian diagnostic algorithm for student modeling and its evaluation. User modeling and User-Adapted Interaction, 12(2-3):281-330, 2002.
18. Robert J. Mislevy, Russell G. Almond, Duanli Yan, and Linda Steinberg. Bayes nets in educational assessment: Where do the numbers come from? In Kathryn B. Laskey and Henri Prade, editors, Proc. of the Fifteenth Conf. on Uncertainty in AI, pages 437-446, San Francisco, 1999. Morgan Kaufmann Publishers, Inc.
19. Gideon Schwarz. Estimating the dimension of a model. The Annals of Statistics, 7(2):461-464, 1978.
20. Peter Spirtes, Clark Glymour, and Richard Schemes. Causation, Prediction, and Search. Number 81 in Lecture Notes in Statistics. Springer Verlag, 1993.
21. Martha L. Stocking and Charles Lewis. Controlling item exposure conditional on ability in computerized adaptive testing. Journal of Educational and Behavioral Statistics, 23:57-75, 1998.
22. Martha L. Stocking and Len Swanson. A method for severly constrained item selection in adaptive testing. Applied Psychological Measurement, 17:277-292, 1993.
23. Len Swanson and Martha L. Stocking. A model and heuristic for solving very large item selection problems. Applied Psychological Measurement, 17:151-166, 1993.
24. Wim J. van der Linden and Cees A. W. Glas, editors. Computerized Adaptive Testing: Theory and Practice. Kluwer Academic Publishers, 2000.
25. th Conf. on Uncertainty in AI, pages 528-535. Morgan Kaufmann Publishers, 2002.
26. Howard Wainer, David Thissen, and Robert J. Mislevy. Computerized Adaptive Testing: A Primer. Mahwah, N.J., Lawrence Erlbaum Associates, second edition, 2000.