Estimating prerequisite structure from noisy data

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

Volumn , Issue , 2011, Pages 217-221

  Brunskill, Emma ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EDUCATIONAL DATA MINING; INTELLIGENT TUTORING SYSTEM; NOISY DATA; NOISY OBSERVATIONS; STUDENT KNOWLEDGE; STUDENT MODELING;

COMPUTER AIDED INSTRUCTION; DATA MINING;

STUDENTS;

EID: 84857469546     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

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4. Corbett, A. and Anderson, J. 1995. Knowledge tracing: Modeling the acquisition of procedural knowledge. User Modeling and User-Adapted Interaction 4, 253-278.
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6. Gagné, R. and Briggs, L. 1974. Principles of Instructional Design. Holt, Rinehard, and Winston.
7. Miller, P. and Phillips, E. R. 1974. Developed of a learning hierarchy for the computational skills of fractional number subtraction. In American Educational Research Association Meeting.
8. Pavlik Jr., P., Cen, H., Wu, L., and Koedinger, K. 2008. Using item-type performance covariance to improve the skill model of an existing tutor. In Proceedings of the 1st International Conference on Educational Data Mining (EDM).
9. Uprichard, A. E. and Phillips, E. 1977. An intraconcept analysis of rational number addition: A validation study. Journal for Research in Mathematics Education 8, 1, 7-16.