Navigating the parameter space of Bayesian Knowledge Tracing models: Visualizations of the convergence of the expectation maximization algorithm

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

Volumn , Issue , 2010, Pages 161-170

  Pardos, Zachary A ^a   Heffernan, Neil T ^a  

^a WORCESTER POLYTECHNIC INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COGNITIVE TUTORS; DEGENERATE STATE; ERROR SURFACE; EXPECTATION-MAXIMIZATION ALGORITHMS; FREE PARAMETERS; GRID SEARCH; INITIAL PARAMETER; INITIAL VALUES; LOCAL MAXIMUM; PARAMETER CONVERGENCE; PARAMETER SPACES; PARAMETER VALUES; STUDENT KNOWLEDGE; TRACING MODEL;

DATA MINING; KNOWLEDGE BASED SYSTEMS; VISUALIZATION;

ALGORITHMS;

EID: 84857464600     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

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8. Pardos, Z. A., Heffernan, N. T. In Press (2010) Modeling Individualization in a Bayesian Networks Implementation of Knowledge Tracing. In Proceedings of the 18th International Conference on User Modeling, Adaptation and Personalization, Hawaii.
9. Ritter, S., Harris, T., Nixon, T., Dickison, D., Murray, C., Towle, B. (2009) Reducing the knowledge tracing space. In Barnes, Desmarais, Romero, & Ventura (Eds.). In Proceedings of the 2nd International Conference on Educational Data Mining. pp. 151-160. Cordoba, Spain.