Does Learner Control Affect Learning?

Frontiers in Artificial Intelligence and Applications

Volumn 158, Issue , 2007, Pages 135-142

  Beck, Joseph E ^a  

^a Carnegie Mellon University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED INSTRUCTION; EDUCATION COMPUTING; LEARNING SYSTEMS; TEACHING;

INTELLIGENT TUTORING; LEARN+; LEARNER CONTROL; LEARNING DECOMPOSITIONS; STUDENT ENGAGEMENT; STUDENT LEARNING; STUDENT MOTIVATION; TUTORING SYSTEM;

STUDENTS;

EID: 85140089164     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (10)

1. Mostow, J. and G. Aist, Evaluating tutors that listen: An overview of Project LISTEN, in Smart Machines in Education, K. Forbus and P. Feltovich, Editors. 2001, MIT/AAAI Press: Menlo Park, CA. p. 169-234.
2. Heiner, C., J.E. Beck, and J. Mostow. Improving the help selection policy in a Reading Tutor that listens. in Proceedings of the InSTIL/ICALL Symposium on NLP and Speech Technologies in Advanced Language Learning Systems. 2004. p. 195-198 Venice, Italy.
3. Aleven, V. and K.R. Koedinger. Limitations of Student Control: Do Student Know when they need help? in Proceedings of the 5th International Conference on Intelligent Tutoring Systems. 2000. p. 292-303 Montreal: Berlin: Springer Verlag.
4. Beck, J. Engagement tracing: using response times to model student disengagement. in Proceedings of the 12th International Conference on Artificial Intelligence in Education (AIED 2005). 2005. p. 88-95 Amsterdam: IOS Press.
5. Becker, D.A.A. and M.M. Dwyer, Using hypermedia to provide learner control. Journal of Educational Multimedia and Hypermedia, 1994. 3(2): p. 155-172.
6. Cordova, D.I. and M.R. Lepper, Intrinsic motivation and the process of learning: Beneficial effects of contextualization, personalization, and choice. Journal of Educational Psychology, 1996. 88(4): p. 715-730.
7. Aist, G. and J. Mostow, Faster, better task choice in a reading tutor that listens, in The Path of Speech Technologies in CALL: Foundations, Prototypes, and Evaluation, V.M. Holland and F.N. Fisher, Editors. in press, Routledge Publishers: New York.
8. Beck, J. Using learning decomposition to analyze student fluency development. in ITS2006 Educational Data Mining Workshop. 2006. p. Jhongli, Taiwan.
9. Woodcock, R.W., Woodcock Reading Mastery Tests - Revised (WRMT-R/NU). 1998, Circle Pines, Minnesota: American Guidance Service.
10. McKenna, M.C., D.J. Kear, and R.A. Ellsworth, Children's attitudes toward reading: a national survey. Reading Research Quarterly, 1995. 30: p. 934-956.