Evaluating a bayesian student model of decimal misconceptions

EDM 2011 - Proceedings of the 4th International Conference on Educational Data Mining

Volumn , Issue , 2011, Pages 301-305

  Goguadze, G ^a   Sosnovsky, S ^b   Isotani, S ^c   McLaren, B M ^c  

^a SAARLAND UNIVERSITY   (Germany)

^b GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE DFKI   (Germany)

^c Carnegie Mellon University ^*  (United States)

Author keywords

Bayesian networks; Bayesian student modeling; Student model evaluation

Indexed keywords

ADAPTATION SERVICES; BAYESIAN MODEL; BAYESIAN STUDENT MODELING; EDUCATIONAL DATA MINING; EDUCATIONAL SYSTEMS; INTELLIGENT TUTORING SYSTEM; NETWORK PARAMETERS; STUDENT MISCONCEPTIONS; STUDENT MODEL EVALUATION; STUDENT MODELS;

BAYESIAN NETWORKS; COMPUTER AIDED INSTRUCTION; DATA MINING; EDUCATION COMPUTING; FORECASTING;

STUDENTS;

EID: 84857480243     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. ALEVEN, V., MCLAREN, B., & SEWALL, J., 2009. Scaling up programming by demonstration for intelligent tutoring systems development: An open-access website for middle school mathematics learning. IEEE Transactions on Learning Technologies, 2(2), 64-78.
2. BRUSILOVSKY, P., KARAGIANNIDIS, C., AND SAMPSON, D., 2004. Layered evaluation of adaptive learning systems. Int'l Journal of Continuing Engineering Education and Lifelong Learning 14 (4/5), 402 - 421.
3. CONATI, C., GERTNER, A. AND VANLEHN, K., 2002. Using Bayesian networks to manage uncertainty in student modeling. Journal of User Modeling and User-Adapted Interaction, vol. 12(4), p. 371-417.
4. COLLINS, J., GREER, & J., HUANG, S., 1996. Adaptive assessment using granularity hierarchies and Bayesian nets. In: Lecture Notes in Computer Science. Vol. 1086. pp. 569-577.
5. ISOTANI, S., MCLAREN, B., & ALTMAN, M., 2010. Towards intelligent tutoring with erroneous examples: A taxonomy of decimal misconceptions. Submitted as a poster paper to the Tenth International Conference on Intelligent Tutoring Systems (ITS-2010). Pittsburgh, PA.
6. KOEDINGER, K., BAKER, R., CUNNINGHAM, K., SKOGSHOLM, A., LEBER, B., STAMPER, J., 2010. A Data Repository for the EDM community: The PSLC DataShop. In: Romero, C., Ventura, S., Pechenizkiy, M., Baker, R.S.J.d. (Eds.) Handbook of Educational Data Mining. Boca Raton, pp 43-55, FL: CRC Press.
7. MARTIN, B., MITROVIC, A., KOEDINGER, K., & MATHAN, S., 2011. Evaluating and Improving Adaptive Educational Systems with Learning Curves, J. of User Modeling and User Adapted Int., 21(3), Springer.
8. MILLÁN, E., LOBODA, T., & PÉREZ-DE-LA-CRUZ, J., 2010. Bayesian networks for student model engineering, Computers & Education, Vol. 55, Issue 4, 1663-1683.
9. NICOLSON, A., BONEH, T., WILKIN, T., STACEY, K., SONENBERG, L., & STEINLE, V., 2001. A case study in knowledge discovery and elicitation in an intelligent tutoring application. In Proceedings of the 17th Conference on Uncertainty in AI, pp. 386-394, Seattle.
10. SOSNOVSKY, S., & BRUSILOVSKY, P., 2005. Layered Evaluation of Topic-Based Adaptation to Student Knowledge. In Proceedings of 4th Workshop on the Evaluation of Adaptive Systems, 47-56.
11. STACEY, K., SONENBERG, E., NICHOLSON, A., BONEH, T., & STEINLE, V., 2003. A teacher model exploiting cognitive conflict driven by a Bayesian network. In Peter Brusilovsky, Albert T. Corbett, Fiorella De Rosis (Eds), User Modeling 2003: Proceedings of the Ninth International Conference. (pp. 352-362) New York: Springer-Verlag (ISBN 3540403817).
12. YUDELSON, M., MEDVEDEVA, O., AND CROWLEY, R., 2008. A multifactor approach to student model evaluation. User Modeling and User-Adapted Interaction, 18(4), 349-382.