Virtual tutoring: An online environment for scaffolding students' metacognitive problem solving expertise

Journal of Turkish Science Education

Volumn 7, Issue 4, 2010, Pages 3-12

  Osman, Mohamed ElTahir ^a  

^a SULTAN QABOOS UNIVERSITY   (Oman)

Author keywords

Expertise; Metacognitive Problem Solving; Online Environment; Scaffolding; Virtual Tutoring

Indexed keywords

EID: 85018214666     PISSN: 13046020     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (32)

1. Aleven, V., & Koedinger, K. R. (2002). An effective metacognitive strategy: Learning by doing and explaining with a computer-based Cognitive Tutor. Cognitive Science, 26 (2), 147-179
2. Artino, R. A. (2007). Self-Regulated Learning in Online Education: A Review of the Empirical Literature. International Journal of Instructional Technology and Distance Learning, 4 (6), 3-18
3. Azevedo, R., Cromley, J., & Seibert, D. (2004). Does adaptive scaffolding facilitate students ability to regulate their learning with hypermedia? Contemporary Educational Psychology, 29, 344-370
4. Azevedo, R., Verona, M. E., & Cromley, J. G. (2001). Fostering students_ collaborative problem solving with RiverWeb. In J. D. Moore, C. L. Redfield, & W. L. Johnson (Eds.), Artificial intelligence in education: Al-ED in the wired and wireless future (pp. 167-175). Amsterdam: IOS Press
5. Brush, T., & Saye, J. (2001). The use of embedded scaffolds with hypermedia-supported student-centered learning. Journal of Educational Multimedia and Hypermedia, 10 (4), 333-356
6. Chalk P. (2001). Apprenticeship learning in software engineering using Webworlds. Proceedings of ACM ITICSE, Helsinki, Finland, 112-115
7. Davis, E. A. (2003). Prompting middle school science students for productive reflection: Generic and directed prompts. The Journal of the Learning Sciences, 12(1), 91-142
8. DeCorte, E., Verschaffel, L.,& OpTeynde, P. (2000). Self-regulation: a characteristic goal of mathematics education. In M. Boekaerts, P. R. Pintrich, & M. Zeinder (Eds.), Handbook of Self-Regulation (pp.687-722). San Diego: Academic Press
9. De Lievre, B., Depover, C., & Dillengbourg, P. (2006). The relationship between tutoring mode and learners' use of help tools in distance education. Instructional Science, 34, 97-129
10. Dufresne, R., Mestre, J., Hart, D., & Rath, K. (2002). The effect of Web-based homework on test performance in large enrolment introductory physics courses. Journal of Computers in Mathematics and Science Teaching, 21 (3), 229-251
11. Goodyear, P. (2002). Teaching online. In N. Hativa and P. Goodyear (Eds.). Teacher Thinking, Beliefs and Knowledge in Higher Education, pp. 79-101. Kluwer Academic Publisher: Dortrecht
12. Halttunen, H., (2003). Scaffolding performance in IR instruction: exploring learning experiences and performance in two learning environments. Journal of Information Science, 29 (5), 375-390
13. Jonassen, D. H. (1999). Designing constructivist learning environments. In C. M. Reigeluth (Ed.), Instructional Design Theories and Models. Vol 2: a new papdigm of instructional theory (pp. 215-140), NJ: Lawrence Erlbaum Associates
14. Kao, M., & Lehman, J. (1997). Scaffolding in a computer-constructivist environment for teaching statistics to college learners. Paper presented at the annual meeting of the American Educational Research Association, Chicago, IL
15. Koedinger, K. (2001). Cognitive tutors as modeling tools and instructional models. In K. D. Forbus & P.J. Feltovich (Eds.), Smart machines in education (pp. 145-167). Cambridge, MA: MIT Press
16. Kramarski, B., & Hirsch, C. (2003). Using computer algebra systems in mathematical classrooms. Journal of Computer Assisted Learning, 19(1), 35-46
17. Kramarski, B, & Gutman, M. (2006). How can self-regulated learning be supported in mathematical e-learning environments? Journal of Computer Assisted Learning, 22, 24-33
18. Kauffman, D. F. (2004). Self-regulated learning in Web-based environments: Instructional tools designed to facilitate cognitive strategies use, metacognitive processing, and motivational beliefs. Journal of Educational Computer Research, 31, 139-161
19. Lin, X., Hmelo, C., Kinzer, C. K. & Secules, T. J. (1999). Designing technology to support reflection. Educational Technology Research and Development, 47, 43-62
20. Lin, X. (2001). Designing metacognitive activities. Educational Technology Research and Development, 49, 23-40
21. Lajoie, S. P., Guerrera, Munsie, S., & Lavigne, N. (2001). Constructing knowledge in the context of BioWorld. Instructional Science, 29(2), 155-186
22. McLoughlin, C., & Hollingworth, R. (2002). Bridge over troubled water: Creating effective online support for the metacognitive aspects of problem solving. ED 477064. The Proceeding of the Ed-Media World Conference on Educational Multimedia, & Telecommunications. Denver, Colorado
23. Miholic, V. (1994). An inventory to pique students' metacognitive awareness of reading strategies. Journal of Reading, 38, 84-86
24. Pedersen, S. & Liu, M. (2002). The effects of modeling expert cognitive strategies during problem-based learning. Journal of Educational Computing Research, 26, 353-380
25. Pintrich, P. (2000). The role of goal orientation in self-regulated learning. In Boekaerts, M., Pintrich, P., & Zeinder, M. (Eds), Handbook of self-regulation (pp.452-501). San Diego, CA: Academic Press
26. Schraw, G., Crippen, K, J., & Hartley, K. (2006). Promoting self-regulation in science education: Metacognition as part of a broader perspective on learning. Research in Science Education, 36, 111-139
27. Volet, S. E. (1991). Modeling and coaching of relevant metacognitive strategies for enhancing university students' learning. Learning and Instruction, 1, 319-336
28. Weedon, E. (1997). A new framework for conceptualizing distance learning. Open Learning, 12 (1), 40-44
29. White, C. J. (1999). The metacognitive knowledge of distance learners. Open Learning, 14 (3), 37-46
30. White, B. Y., Shimoda, T. A., & Frederiksen, J. R. (2000). Facilitating students_ inquiry learning and metacognitive development through modifiable software advisers. In S. P. Lajoie (Ed.), Computers as cognitive tools II: No more walls: Theory change, paradigm shifts and their influence on the use of computers for instructional purposes (pp. 97-132). Mawah, NJ: Erlbaum
31. Winne, P. H. (2001). Self-regulated learning viewed from models of information processing. In B.Zimmerman & D. Schunk (Eds.), Self-regulated learning and academic achievement: Theoretical perspectives (pp. 153-189). Mawah, NJ: Erlbaum
32. Zimmerman, B. (2000). Attaining self-regulated learning: A social-cognitive perspective. In Boekaerts, M., Pintrich, P., & Zeinder, M. (Eds), Handbook of self-regulation (pp.13-39). San Diego, CA: Academic Press