The simple location heuristic is better at predicting students' changes in error rate over time compared to the simple temporal heuristic

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

Volumn , Issue , 2011, Pages 71-80

  Nwaigwe, A F ^a   Koedinger, K R ^b  

^a AMERICAN UNIVERSITY OF NIGERIA   (Nigeria)

^b Carnegie Mellon University   (United States)

Author keywords

Error attribution methods; Intelligent tutoring systems; Learning curves; Mathematics

Indexed keywords

DATA SETS; ERROR RATE; GOODNESS OF FIT; INTELLIGENT TUTORING SYSTEM; INTERFACE LOCATIONS; KNOWLEDGE COMPONENTS; LEARNING CURVES; PHYSICS DATA; SINGLE LOCATION; SUBGOALS;

COMPUTER AIDED INSTRUCTION; DATA MINING; EDUCATION COMPUTING; MATHEMATICAL TECHNIQUES;

HEURISTIC METHODS;

EID: 84857479829     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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