Classifying learner engagement through integration of multiple data sources

Proceedings of the National Conference on Artificial Intelligence

Volumn 1, Issue , 2006, Pages 151-157

  Beal, Carole R ^a   Qu, Lei ^a   Lee, Hyokyeong ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Cognitive modeling; Computer aided education; Intelligent tutoring systems

Indexed keywords

ARTIFICIAL INTELLIGENCE; LEARNING SYSTEMS; PROBLEM SOLVING; STUDENTS; TEACHING;

CLUSTER ANALYSIS; FINITE STATE MACHINES; INTELLIGENT TUTORING SYSTEMS (ITS);

DATABASE SYSTEMS;

EID: 33750735708     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. Aleven, V., & Koedinger, K. R. (2000). Limitations of student control: Do students know when they need help? In G. Gauthier, C. Frasson, & K. VanLehn (Eds.), Proceedings of the 5th International Conference on Intelligent Tutoring Systems, pp. 292-303. Amsterdam: IOS Press.
2. th International Conference on Artificial Intelligence in Education, pp. 371-373. Amsterdam: IOS Press.
3. Beck, J. (2005). Engagement tracing: Using response times to model student disengagement. In C. Looi, G. McCalla, B. Bredeweg, & J. Breuker (Eds.), Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology, pp. 88-95. Amsterdam: IOS Press.
4. Boekaerts, M. (2002). The on-line motivation questionnaire: A self-report instrument to assess students' context sensitivity. In P. R. Pintrich & M. L. Maehr (Eds.), Advances in Motivation and Achievement, Vol. 12: New Directions in Measures and Methods, pp. 77-120. New York, JAI (Elsevier Science).
5. th graders. Journal of Educational Psychology, 95, 316-326.
6. D'Mello, S. K., Craig, S. D., Gholson, B., Franklin, S., Picard, R., & Graesser, A. C. (2004). Integrating affect sensors into an intelligent tutoring system. In Affective Interactions; The Computer in the Affective Loop. Proceedings of the 2005 International Conference on Intelligent User Interfaces, pp. 7-13. New York: AMC Press.
7. Dweck, C. (2006). Mindset. New York: Random House.
8. Eccles, J., Wigfield, A., Harold, R. D., & Blumenfeld, P. (1993). Age and gender differences in children's self and task perceptions during elementary school. Child Development, 64, 830-847.
9. Karabenick, S. (1998). Strategic help seeking: Implications for learning and teaching. Mahwah NJ: Erlbaum.
10. Koedinger, K. R., Corbett, A. T., Ritter, S., & Shapiro, L. J. (2000). Carnegie Learning's Cognitive Tutor: Summary of research results. White Paper. Pittsburgh PA: Carnegie Learning.
11. Lepper, M. R., Woolverton, M., Mumme, D., & Gurtner, J. (1993). Motivational techniques of expert human tutors: Lessons for the design of computer-based tutors. In S. P. Lajoie & S. J. Derry (Eds.), Computers as cognitive tools, pp. 75-105. Hillsdale NJ: Erlbaum.
12. Mayer, R. E., Dow, G. T., & Mayer, S. (2003). Multimedia learning in an interactive self-explaining Environment: What works in the design of agent-based microworlds? Journal of Educational Psychology, 95, 806-812.
13. Newman, R. S. (2002). How self-regulated learners cope with academic difficulty: The role of adaptive help seeking. In S. Pape, B. Zirnmerman, B., & F. Pajares (Eds.), Theory into practice: Special issue: Becoming a self-regulated learner, pp. 132-138. Columbus, OH: The Ohio State University.
14. Ryan, A. M., Patrick, H., Shim, S-O. (2005). Differential profiles of students identified by their teacher as having avoidant, appropriate, or dependent help-seeking tendencies in the classroom. Journal of Educational Psychology, 97, 275-285.
15. th ed.). Upper Saddle River NJ: Pearson.
16. Turner, J. C., Midgley, C., Meyer, D. K., Dheen, K., Anderman, E. M., Kang, Y, & Patrick, H. (2002). The classroom environment and students' reports of avoidance strategies in mathematics: A multimethod study. Journal of Educational Psychology, 94, 88-106.
17. Zimmerman, B., & Martinez-Pons, M. (1986). Development of a structured interview for assessing student use of self regulated learning strategies. American Educational Research Journal, 223, 614-628.