Using dirichlet priors to improve model parameter plausibility

EDM'09 - Educational Data Mining 2009: 2nd International Conference on Educational Data Mining

Volumn , Issue , 2009, Pages 141-150

  Rai, Dovan ^a   Gong, Yue ^a   Beck, Joseph E ^a  

^a Worcester Polytechnic Institute   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONJUGATE GRADIENT DESCENTS; DIRICHLET PRIOR; ESTIMATING PARAMETERS; EXPECTATION MAXIMIZATION; LOCAL MAXIMUM; MODEL FIT; MODEL PARAMETERS; MULTIPLE SET; PARAMETER ESTIMATE; STARTING VALUES; STUDENT BEHAVIOR; STUDENT KNOWLEDGE; STUDENT LEARNING; STUDENT MODELING; STUDENT PERFORMANCE;

CONJUGATE GRADIENT METHOD; DATA MINING; PARAMETER ESTIMATION;

STUDENTS;

EID: 84857478510     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Joseph E. Beck, Kai-min Chang, Jack Mostow, Albert T. Corbett, Does Help Help? Introducing the Bayesian Evaluation and Assessment Methodology. Intelligent Tutoring Systems 2008: 383-394.
2. Corbett, A. and J. Anderson, Knowledge tracing: Modeling the acquisition of procedural knowledge. User modeling and user-adapted interaction, 1995. 4: p. 253-278.
3. Mostow, J. and G. Aist, Evaluating tutors that listen: An overview of Project LISTEN, in Smart Machines in Education, K. Forbus and P. Feltovich, Editors. 2001, MIT/AAAI Press: Menlo Park, CA. p. 169-234.
4. Beck, J. E., & Chang, K.-m. (2007, June 25-29). Identifiability: A Fundamental Problem of Student Modeling. Proceedings of the 11th International Conference on User Modeling (UM 2007), Corfu, Greece.
5. Corbett, A.T. Cognitive computer tutors: Solving the two-sigma problem. in International Conference on User Modeling. 2001. p. 137-147.
6. Beck, J. E. (2007, July 9). Difficulties in inferring student knowledge from observations (and why you should care). Proceedings of the AIED2007 Workshop on Educational Data Mining, Marina del Rey, CA, 21-30.
7. Kimberly Ferguson, Ivon Arroyo, Sridhar Mahadevan, Beverly Woolf and Andy Barto: Improving Intelligent Tutoring Systems: Using Expectation Maximization to Learn Student Skill Level. Intelligent Tutoring Systems: Volume 4053/2006.
8. 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.