Computational methods for evaluating student and group learning histories in intelligent tutoring systems

Frontiers in Artificial Intelligence and Applications

Volumn 125, Issue , 2005, Pages 80-87

  Beal, Carole ^a   Cohen, Paul ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED INSTRUCTION; EDUCATION COMPUTING; LEARNING SYSTEMS;

ANALYTIC TECHNIQUE; ELEMENTARY SCHOOLS; EXPERIMENTAL CONDITIONS; GROUP LEARNING; INTELLIGENT TUTORING; LEARNING EXPERIENCES; RANDOMIZATION TESTS; STUDENT LEARNING; TUTORING SYSTEM;

STUDENTS;

EID: 85139020578     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (6)

1. Beal, C. R., & Arroyo, I. (2002). & The AnimalWatch project: Creating an intelligent computer mathematics tutor. In S. Calvert, A. Jordan, & R. Cocking (Eds.), Children in the digital age (pp. 183-198).
2. Beck, J., Arroyo, I., Woolf, B., & Beal, C. R. (1999). An ablative evaluation. In Proceedings of the 9th International Conference on Artificial Intelligence, pp. 611-613, Paris: ISO Press.
3. Beck, J. E., Woolf, B. P., & Beal, C. R. (2000). Learning to teach: A machine learning architecture for intelligent tutor construction. Proceedings of the Seventeenth National Conference on Artificial Intelligence, Austin TX.
4. Arroyo, I. (2003). Quantitative evaluation of gender differences, cognitive development differences, and software effectiveness for an elementary mathematics intelligent tutoring system. Doctoral dissertation, University of Massachusetts at Amherst.
5. Mitrovic, A., Martin, B., & Mayo, M. (2002). Using evaluation to shape ITS design: Results and experiences with SQL Tutor. Using Modeling and User Adapted Instruction, 12, 243-279.
6. Cohen, P. R. (1995). Empirical methods for artificial intelligence. Cambridge MA: MIT Press.