Detecting when students game the system, across tutor subjects and classroom cohorts

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3538 LNAI, Issue , 2005, Pages 220-224

  Baker, Ryan Shaun ^a   Corbett, Albert T ^a   Koedinger, Kenneth R ^a   Roll, Ido ^a  

^a Carnegie Mellon University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COGNITIVE SYSTEMS; COMPUTER SCIENCE; INTERFACES (COMPUTER); PROBLEM SOLVING; STUDENTS;

IDIOSYNCRATIC STRATEGIES; INTELLIGENT TUTORING SYSTEMS (ITS); LOG FILES; TUTORING SYSTEMS;

BEHAVIORAL RESEARCH;

EID: 26944484388     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11527886_28     Document Type: Conference Paper

References (6)

1. Baker, R.S., Corbett, A.T., Koedinger, K.R. Detecting Student Misuse of Intelligent Tutoring Systems. Proceedings of the 7th International Conference on Intelligent Tutoring Systems (2004), 531-540.
2. Baker, R.S., Corbett, A.T., Koedinger, K.R., Wagner, A.Z. Off-Task Behavior in the Cognitive Tutor Classroom: When Students "Game the System". Proceedings of ACM CHI 2004: Computer-Human Interaction (2004) 383-390
3. Donaldson, W. Accuracy of d' and A' as Estimates of Sensitivity. Bulletin of the Psychonomic Society Vol. 31(4) (1993) 271-274.
4. Maris, E. Psychometric Latent Response Models. Psychometrika vol.60(4) (1995) 523-547.
5. th International Conference on Intelligent Tutoring Systems (ITS 2004), 580-591.
6. Yu, L., Liu, H. Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution. Proc. of the Intl. Conference on Machine Learning (ICML-03), 856-863.