Building an instructional framework to support learner control in adaptive educational systems

Advances in Web-Based Education: Personalized Learning Environments

Volumn , Issue , 2005, Pages 127-146

  Papanikolaou, Kyparisia A ^a   Grigoriadou, Maria ^a  

^a UNIVERSITY OF ATHENS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 38349128930     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-59140-690-7.ch006     Document Type: Chapter

References (46)

1. Brusilovsky, P. (1996). Methods and techniques of adaptive hypermedia. User Modeling and User-Adapted Interaction, 6(2/3), 87-129.
2. Brusilovsky, P. (1999). Adaptive and intelligent technologies for Web-based education. In C. Rollinger & C. Peylo (Eds.), Kunstliche Intelligenz, Special Issue on Intelligent Systems and Teleteaching, 19-25.
3. Brusilovsky, P. (2001). Adaptive hypermedia. User Modeling and User-Adapted Interaction, 11(1/2), 111-127.
4. Brusilovsky, P., & Peylo, C. (2003). Adaptive and intelligent Web-based educational systems. International Journal of Artificial Intelligence in Education, 13, 156-169.
5. Bull, S., & McCalla, G. (2002). Modelling cognitive style in a peer help network. Instructional Science, 30, 497-528.
6. Bull, S., Brna, P., & Pain, H. (1995). Extending the scope of the student model. User Modeling and User-Adapted Interaction, 5(1), 44-65.
7. Chen, S. Y., & Paul, R. J. (Eds.). (2003). Special issue on individual differences in Web-based instruction. British Journal of Educational Technology, 34(4), 385.
8. Chi, M. T. H. (1996). Constructing self-explanations and scaffolded explanations in tutoring. Applied Cognitive Psychology, 10, 33-49.
9. Dimitrova, V. (2003). StyLE-OLM: Interactive open learner modelling. International Journal of AI in Education, 13(1), 35-78.
10. Ertmer, P. A., & Newby, T. J. (1993). Behaviorism, cognitivism, constructivism: Comparing critical features from an instructional design perspective. Performance Improvement Quarterly, 6(4), 50-72.
11. Federico, P.-A. (1991). Student cognitive attributes and performance in a computer-managed instructional setting. In R. Dillon & J. Pellegrino (Eds.), Instruction: Theoretical and applied perspectives. New York: Praeger.
12. Federico, P.-A. (1999). Hypermedia environments and adaptive instruction. Computers in Human Behavior, 15, 653-692.
13. Gilbert, J. E., & Han, C. Y. (1999). Adapting instruction in search of "a significant difference". Journal of Network and Computer Applications, 22, 149-160. Retrieved from http://www.idealibrary.com
14. Henze, N., Naceur, K., Nejdl, W., & Wolpers, M. (1999). Adaptive Hyperbooks for constructivist teaching. Kunstliche Intelligenz, 26-31.
15. Hohl, H., Bocker, H. D., & Gunzenhauser, R. (1996). Hypadapter: An adaptive hypertext system for exploratory learning and programming. User Modeling and User-Adapted Interaction, 6(2-3), 131-156.
16. Honey, P., & Mumford, A. (1992). The manual of learning styles. Peter Honey, Maidenhead, Published and Distributed by Peter Honey.
17. Höök, K., Karlgren, J., Waern, A., Dahlbäck, N., Jansson, C-G., Karlgren, K., & Lemaire, B. (1996). A glass box approach to adaptive hypermedia. User Modeling and User-Adapted Interaction, 6(2-3), 157-184.
18. IULO: The instructional use of learning objects. (n.d.). Online edition. Retrieved from http://reusability.org/read/
19. Jeroen, J. G., Merriënboer, V., & Kirschner, P. A. (2001). Three worlds of instructional design. Instructional Science, 29, 429-441.
20. Jonassen, D. (1999). Designing constructivist environments. In C. M. Reigeluth (Ed.), Instructional-design theories and models: A new paradigm of instructional theory, Volume II. Mahwah, NJ; London: Lawrence Erlbaum Associates.
21. Jonassen, D., Mayes, T., & McAleese, R. (1993). A manifesto for a constructivist approach to uses of technology in higher education. In T. Duffy, J. Lowyck & D. Jonassen (Eds.), Designing environments for constructive learning. NATO ASI Series F, Vol.105. Berlin: Springer-Verlag.
22. Kay, J. (1995). The um toolkit for cooperative user modeling. User Modeling and User-Adapted Interaction, 4(3), 149-196.
23. Kay, J. (2001). Learner control. User Modeling and User-Adapted Interaction, 11(1/2), 111-127.
24. Kobsa, A., Koenemann, J., & Pohl, W. (2001). Personalized hypermedia presentation techniques for improving online customer relationships. The Knowledge Engineering Review, 16(2), 111-155.
25. Kreijns, K., Kirschner, P. A., & Jochems, W. (2003). Identifying the pitfalls for social interaction in computer-supported collaborative learning environments: A review of the research. Computers in Human Behavior, 19, 335-353.
26. Lawless, K., & Brown, S. (1997). Multimedia learning environments: Issues of learner control and navigation. Instructional Science, 25, 117-131.
27. Lin, B., & Hsieh, C. (2001). Web-based teaching and learner control: A research review. Computers and Education, 37, 377-386.
28. Luckin, R., & Du Boulay, B. (1999). Ecolab: The development and evaluation of a Vygotskian design framework. International Journal of Artificial Intelligence in Education, 10, 198-220.
29. Mayer, R. E. (2002). A taxonomy for computer-based assessment of problem solving. Computers in Human Behavior, 18(6), 623-632.
30. Merrill, M. D. (1983). Component display theory. In C. M. Reigeluth (Ed.), Instructional design theories and models: An overview of their current status. Hillsdale: Lawrence Erlbaum Associates.
31. Mitrovic, A., & Martin, B. (2002). Evaluating the effects of open student models on learning. In P. De Bra, P. Brusilovsky, & R. Conejo (Eds.), Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems (pp. 296-305). Berlin, Heidelberg: Springer-Verlag.
32. Mory, E. H. (1996). Feedback research. In D. H. Jonassen (Ed.), Handbook of research for educational communications and technology (pp. 919-956). New York: Simon and Schuster Macmillan. Retrieved from http://www.aect.org/intranet/publications/edtech/32/index.html
33. Oppermann, R. (1994). Adaptively supported adaptability. International Journal of Human-Computer Studies, 40, 455-472.
34. Papanikolaou, K. A., & Grigoriadou, M. (2004). Accommodating learning style characteristics in adaptive educational hypermedia. In G. Magoulas & S. Chen (Eds.), Proceedings of the Workshop on Individual Differences in Adaptive Hypermedia in AH2004, Part I, Eidhoven, The Netherlands (pp. 77-86).
35. Papanikolaou, K. A., Grigoriadou, M., Kornilakis, H., & Magoulas, G. D. (2003). Personalizing the interaction in a Web-based educational hypermedia system: The case of INSPIRE. User-Modeling and User-Adapted Interaction, 13(3), 213-267.
36. Reigeluth, C. M. (1999a). What is instructional-design theory and how is it changing? In C. M. Reigeluth (Ed.), Instructional-design theories and models: A new paradigm of instructional theory, Volume II. Mahwah, NJ; London: Lawrence Erlbaum Associates.
37. Reigeluth, C. M. (1999b). The elaboration theory: Guidance for scope and sequencing decisions. In C. M. Reigeluth (Ed.), Instructional-design theories and models: A new paradigm of instructional theory, Volume II. Mahwah, NJ; London: Lawrence Erlbaum Associates.
38. Reigeluth, C. M., & Moore, J. (1999). Cognitive education and the cognitive domain. In C. M. Reigeluth (Ed.), Instructional-design theories and models: A new paradigm of instructional theory, Volume II. Mahwah, NJ; London: Lawrence Erlbaum Associates.
39. Sales, G. C. (1993). Adapted and adaptive feedback in technology-based instruction. In J. V. Dempsey & G. C. Sales (Eds.), Interactive instruction and feedback (pp. 159-175). Englewood Cliffs, NJ: Educational Technology.
40. Specht, M., Weber, G., Heitmeyer, S., & Schöch, V. (1997). AST: Adaptive WWW-content for statistics. In P. Brusilovsky, J. Fink, & J. Kay (Eds.), Proceedings of Workshop "Adaptive Systems and User Modeling on the World Wide Web", Sixth International Conference on User Modeling, UM97, Italy (pp. 91-95). Retrieved from http://www.contrib.andrew.cmu.edu/~plb/UM97_workshop/Specht.html
41. Steinberg, E. R. (1989). Cognition and learner control: A literature review, 1977-1988. Journal of Computer-Based Instruction, 6(4), 117-121.
42. Triantafillou, E., Pomportsis, A., & Demetriadis, S. (2003). The design and the formative evaluation of an adaptive educational system based on cognitive styles. Computers & Education, 41, 87-103.
43. Van Marcke, K. (1998). GTE: An epistemological approach to instructional modeling. Instructional Science, 26(3/4), 147-191.
44. Vassileva, J. (1997). Dynamic course generation on the www. In B. D. Boulay & R. Mizoguchi (Eds.), Artificial intelligence in education: Knowledge and media in learning systems (pp. 498-505). Amsterdam: IOS Press.
45. Weber, G., & Brusilovsky, P. (2001). ELM-ART: An adaptive versatile system for Web-based instruction. International Journal of Artificial Intelligence in Education, 12(4), 351-384.
46. White, B. Y., Shimoda, T. A., & Frederiksen, J. R. (1999). Enabling students to construct theories of collaborative inquiry and reflective learning: Computer support for metacognitive development. International Journal of Artificial Intelligence in Education, 10, 151-182.