Mathematics motivation and achievement as predictors of high school students' guessing and help-seeking with instructional software

Journal of Computer Assisted Learning

Volumn 24, Issue 6, 2008, Pages 507-514

  Beal, C R ^a   Qu, L ^a   Lee, H ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Interaction patterns with software; Mathematics achievement; Mathematics motivation; Secondary education

Indexed keywords

EID: 55149091365     PISSN: 02664909     EISSN: 13652729     Source Type: Journal    
DOI: 10.1111/j.1365-2729.2008.00288.x     Document Type: Article

References (29)

1. Aleven V. Koedinger K.R. (2000) Limitations of student control: do students know when they need help? In Proceedings of the 5th International Conference on Intelligent Tutoring Systems (eds G. Gauthier, C. Frasson K. VanLehn pp. 292 303. IOS Press, Montréal.
2. Aleven V., McLaren B., Roll I. Koedinger K.R. (2006) Toward meta-cognitive tutoring: a model of help-seeking with a cognitive tutor. International Journal of Artificial Intelligence 16, 101 128.
3. Arroyo I. Woolf B.P. (2005) Inferring learning and attitudes from a Bayesian Network of log file data. In Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology (eds C. Looi, G. McCalla, B. Bredeweg J. Breuker pp. 33 40. IOS Press, Amsterdam.
4. Arroyo I., Ferguson K., Johns J., Dragon T., Meheranian H., Fisher D., Barto A., Mahadevan S. Woolf B.P. (2007) Repairing disengagement with non-invasive terventions. In Artificial Intelligence in Education: Building Technology-Rich Learning Contexts that Work (eds R. Luckin, K.R. Koedinger J. Greer pp. 195 202. IOS Press, Amsterdam.
5. Baker R.S., Corbett A.T. Koedinger K.R. (2004) Detecting student misuse of intelligent tutoring systems. In Intelligent Tutoring Systems 2004, Lecture Notes in Computer Science 3220 (ed. J.C. Lester pp. 531 540. Springer-Verlag, Berlin.
6. Baker R.S., Corbett A.T., Koedinger K.R. Roll I. (2005) Detecting when students game the system, across tutor subjects and classroom cohorts. In User Modeling, Lecture Notes in Artificial Intelligence 3538 (eds L. Ardissono, P. Brna A. Mitrovic pp. 220 224. Springer-Verlag, Berlin.
7. Baker R.S., Corbett A.T., Koedinger K.R., Evenson S., Roll I., Wagner A.Z., Naim M., Raspat J., Baker D.J. Beck J.E. (2006) Adapting to when students game an intelligent tutoring system. Proceedings of the 8th International Conference on Intelligent Tutoring Systems, pp. 392 401.
8. Beal C.R., Qu L. Lee H. (2006) Classifying learner engagement through integration of multiple data sources. Proceedings of the 21st National Conference on Artificial Intelligence (AAAI-06). AAAI Press, Menlo Park.
9. Beal C.R., Walles R., Arroyo I. Woolf B.P. (2007) On-line tutoring for math achievement testing: a controlled evaluation. Journal of Interactive Online Learning 6, 43 55.
10. Beck J. (2005) Engagement tracing: using response times to model student disengagement. In Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology (eds C. Looi, G. McCalla, B. Bredeweg J. Breuker pp. 88 95. IOS Press, Amsterdam.
11. 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.
12. Kaiser H.F. (1960) The application of electronic computers to factor analysis. Educational and Psychological Measurement 20, 141 151.
13. Kendall M. (1980) Multivariate Analysis. MacMillan, New York.
14. Leder G.C., Pehkonen E. Torner G. (2002) Beliefs: A Hidden Variable in Mathematics Education. Kluwer, Dordrecht.
15. McCormick C.B. (2004) Metacognition and learning. In Handbook of Psychology, Vol. 7, Educational psychology (eds W.M. Reynolds, G.J. Miller I.B. Weiner pp. 79 102. John Wiley, Hoboken, NJ.
16. Murray R.C. Van Lehn K. (2005) Effects of dissuading unnecessary help requests while providing proactive help. In Artificial Intelligence in Education: Supporting Learning through Intelligence and Socially Informed Technology (eds C.-K. Looi, G. McCalla, B. Bredeweg J. Breuker pp. 887 889. IOS Press, Amsterdam.
17. Newman R.S. (2002) How self-regulated learners cope with academic difficulty: the role of adaptive help seeking. In Theory into Practice: Special Issue: Becoming a Self-Regulated Learner (eds S. Pape, B. Zimmerman, B. F. Pajares pp. 132 138. The Ohio State University, Columbus, OH.
18. Nguyen D.M. Kulm G. (2005) Using web-based practice to enhance mathematics learning and achievement. Journal of Interactive On-line Learning 3, 1 16.
19. Pajares F. (1996) Self-efficacy beliefs in academic settings. Review of Educational Research 66, 533 578.
20. Roll I., Aleven V., McLaren B.M. Koedinger K.R. (2007) Can help seeking be tutored: searching for the secret sauce of metacognitive tutoring. In Artificial Intelligence in Education: Building Technology-Rich Learning Contexts that Work (eds R. Luckin, K.R. Koedinger J. Greer pp. 145 152. IOS Press, Amsterdam.
21. 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.
22. Schunk D.H. (2004) Learning Theories: An Educational Perspective, 4th edition. Merrill, Columbus OH.
23. Stoney S. Wild E. (1998) Motivation and interface design: maximizing learning opportunities. Journal of Computer Assisted Learning 14, 40 50.
24. 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.
25. Walonski J.A. Heffernan N.T. (2006a) Detection and analysis of off-task gaming behavior in intelligent tutoring systems. In Proceeding of the 8th International Conference on Intelligent Tutoring Systems (eds M. Ikeda, K. Ashley T.-W. Chan pp. 382 391. Springer-Verlag, Berlin.
26. Walonski J.A. Heffernan N.T. (2006b) Prevention of off-task behavior in intelligent tutoring systems. In Proceeding of the 8th International Conference on Intelligent Tutoring Systems (eds M. Ikeda, K. Ashley T.-W. Chan pp. 722 724. Springer-Verlag, Berlin.
27. Wigfield A.L. Eccles J.S. (2000) Expectancy-value theory of achievement motivation. Contemporary Educational Psychology 25, 68 81.
28. Wood H. Wood D. (1999) Help-seeking, learning, and contingent tutoring. Computers and Education 33, 153 159.
29. Zimmerman B.J. Martinez-Pons M. (1986) Development of a structured interview for assessing student use of self-regulated learning strategies. American Educational Research Journal 23, 614 628.