Using multiple Dirichlet distributions to improve parameter plausibility

Educational Data Mining 2010 - 3rd International Conference on Educational Data Mining

Volumn , Issue , 2010, Pages 61-70

  Gong, Yue ^a   Beck, Joseph E ^a   Heffernan, Neil T ^a  

^a Worcester Polytechnic Institute   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIRICHLET DISTRIBUTIONS; DIRICHLET PRIOR; DISTRIBUTIONAL SIMILARITIES; GLOBAL MAXIMUM; KNOWLEDGE COMPONENTS; LOCAL MAXIMUM; MODEL PARAMETERS; MULTIPLE DISTRIBUTION; PREDICTIVE ACCURACY; STUDENT KNOWLEDGE; STUDENT MODELING;

DATA MINING;

STUDENTS;

EID: 84855649292     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Beck, J. E., Mostow, J. How who should practice: Using learning decomposition to evaluate the efficacy of different types of practice for different types of students. 9th International Conference on Intelligent Tutoring Systems, Montreal, 353-362.
2. Rai, D, Gong, Y, Beck, J. E. : Using Dirichlet priors to improve model parameter plausibility. Proceedings of the 2nd International Conference on Educational Data Mining, Cordoba, Spain, pp141-148.
3. Corbett, A. and J. Anderson, Knowledge tracing: Modeling the acquisition of procedural knowledge. User modeling and user-adapted interaction, 1995. 4: p. 253-278.
4. Gong, Y, Beck, J. E., Heffernan, N. T. : Comparing Knowledge Tracing and Performance Factor Analysis by Using Multiple Model Fitting. The 10th International Conference on Intelligent Tutoring Systems, Pittsburgh, 2010.
5. Beck, J. E., Chang, K.-m.: Identifiability: A Fundamental Problem of Student Modeling. Proceedings of the 11th International Conference on User Modeling, Greece.
6. Ritter, S., Harris, T. K., Nixon, T., Dickison, D., Murray, R. C., Towle, B.: Reducing the Knowledge Tracing Space.Proceedings of the 2nd International Conference on Educational Data Mining, 2009, Cordoba, Spain.
7. Kai-min Chang, Joseph Beck, Jack Mostow and Albert Corbett : A Bayes Net Toolkit for Student Modeling in Intelligent Tutoring Systems : Intelligent Tutoring Systems: Intelligent Tutoring Systems Volume 4053/2006.
8. Pavlik, P. I., Cen, H., Koedinger, K.: Performance Factors Analysis - A New Alternative to Knowledge. Proceedings the 14th International Conference on Artificial Intelligence in Education, Brighton, UK, pp. 531-538.
9. Corbett, A.T. Cognitive computer tutors: Solving the two-sigma problem. International Conference on User Modeling. 2001. p. 137-147.
10. Blei, D. M., Ng, A. Y., Jordan, M. I.. Latent Dirichlet allocation. Journal of Machine Learning Research. Vol. 3. Pp. 993-1022. 2003.