A new perspective for metacognition-driven learning

Proceedings of the 18th International Conference on Computers in Education: Enhancing and Sustaining New Knowledge Through the Use of Digital Technology in Education, ICCE 2010

Volumn , Issue , 2010, Pages 41-45

  Kayashima, Michiko ^a   Mizoguchi, Riichiro ^b  

^a TAMAGAWA UNIVERSITY   (Japan)

^b OSAKA UNIVERSITY   (Japan)

Author keywords

A modification operation; An abstraction operation; An instantiation operation; Framework; Metacognition; Metacognition driven learning

Indexed keywords

A MODIFICATION OPERATION; AN ABSTRACTION OPERATION; AN INSTANTIATION OPERATION; FRAMEWORK; METACOGNITION; METACOGNITION-DRIVEN LEARNING;

EDUCATION;

COGNITIVE SYSTEMS;

EID: 84856923604     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Azevedo, R.: Theoretical, conceptual, methodological, and instructional issues in research on metacognition and self-regulated learning: A discussion, Metacognition Learning, Vol.4 No.1, pp.87-95 (2009).
2. Biswas, G., Schwartz, D. L., Leelawong, K., Vye, N., & TAG-V.: Learning by Teaching: A New Paradigm for Educational Software. Applied Artificial Intelligence. 19(3), pp. 363-392 (2005).
3. Biswas, G., Roscoe, R., Jeong, H., Brian Sulcer, B.: Promoting Self-Regulated Learning Skills in Agent-based Learning Environments. In: Procs. of 17th International Conference on Computers in Education [CDROM], pp.67-74. (2009).
4. Brown, A.: Metacognition, Executive Control, Self-regulation, and Other more Mysterious Mechanisms". In: Weinert, F. E. & Kluwe, R. H. (eds.), Metacognition, Motivation, and Understanding, NJ: LEA, pp.65-116, (1987).
5. Collins, A., & Brown, J.S.: The computer as a tool for learning through reflection. In H. Mandl and Lesgold (Eds.), Learning issues for intelligent tutoring systems. pp. 1-18 New York: Springer-Verlag (1988).
6. Collins, A., Brown, J.S., & Newman, S.E.: Cognitive Apprenticeship: Teaching the Crafts of Reading, Writing, and Mathematics. In L.B. Resnick (Ed.), Knowing, Learning, and Instruction: Essays in Honor of Robert Glaser, pp. 453-494 Hillsdale, NJ: Lawrence Erlbaum Associates (1989).
7. Conati, C., VanLehn, K.: Toward Computer-Based Support of Meta-Cognitive Skills: a Computational Framework to Coach Self-Explanation. International Journal of Artificial Intelligence in Education, 11, pp.398-415 (2000).
8. Flavell, J.H.: Speculations about the nature and development of metacognition, In Weinert, F. E. and Kluwe, R. H. (eds.), Metacognition, Motivation, and Understanding, LEA, (1987).
9. Hacker, D. J., Dunlosky, J., Graesser, A. C.: Metacognition in Educational Theory and Practice. NJ:LEA (1998).
10. Hirashima, T., Imai, I., Horiguchi, T. and Toumoto, T.: Error-based simulation to promote awareness of errors in elementary mechanics and its evaluation, Proc. of the 14th Artificial Intelligence in Education (AIED2009), pp.409 - 416, (2009).
11. Kayashima, M., Inaba, A. and Mizogichi, R.: What do you mean by to help learning of meta cognition?, Proc. of the 12th Artificial Intelligence in Education (AIED2005), pp. 346-353, (2005).
12. Pintrich, P. R. : The role of motivation in self-regulated learnig, In M. Boekaerts, P. R. Pintrich, and M. Zeidner (Eds.), Handbook of Self-Regulation, New York: Academic Press, pp.451-502, (2000).
13. Veenman, M. V. J., Van Hout-Wolters, Bernadette H. A. M. and Afflerbach, P.: Metacognition and learning: conceptual and methodological considerations, Metacognition Learning, Vol.1, No.1, pp.3-14, (2006).
14. Wang, M. C., Haertel, G. D., and Walberg, H.J.: What Influences Learning?: A Content Analysis of Review Literature, J. of Educational Research, Vol.84, No.1, pp.30-43, (1990).
15. Winne, P. H. :Self-regulated learning viewed from models of information processing. In. Zimmerman, B.J., Schunk, D.H. (Eds.), Self-Regulated Learning and Academic Achievement: Theoretical Perspectives, LEA, pp. 153-189, (2001).