Adaptive e-learning

Educational Psychologist

Volumn 38, Issue 2, 2003, Pages 105-114

  Shute, Valerie ^a   Towle, Brendon ^b  

^a EDUCATIONAL TESTING SERVICE   (United States)

^b Thomson NETg   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0037903187     PISSN: 00461520     EISSN: None     Source Type: Journal    
DOI: 10.1207/S15326985EP3802_5     Document Type: Review

References (36)

1. Ackeman, P. L. (1996). A theory of adult intellectual development: Process, personality, interests, and knowledge. Intelligence, 22, 227-257.
2. Ackerman, P. L. (2003). Aptitude complexes and trait complexes. Educational Psychologist, 38, 85-93.
3. Ackerman, P. L., & Heggestad, E. D. (1997). Intelligence, personality, and interests: Evidence for overlapping traits. Psychological Bulletin, 121, 218-245.
4. Advanced Distributed Learning. (2001). SCORM (version 1.2). Retrieved April 10, 2003, from http://www.adlnet.org/ADLDOCS/Other/SCORM_1.2_doc.zip
5. Andre, D. (1994). Learning and upgrading rules for an OCR system using genetic programming. In Proceedings of the First IEEE Conference on Evolutionary Computation (Vol. 1, pp. 462-467). Piscataway, NJ: IEEE.
6. Bennett, R. E., & Persky, H. (2002). Problem solving in technology-rich environments. In Qualifications and Curriculum Authority (Ed.), Assessing gifted and talented children (pp. 19-33). London, England: Qualifications and Curriculum Authority.
7. Catrambone, R., & Holyoak, K. J. (1989). Overcoming contextual limitations on problem-solving transfer. Journal of Experimental Psychology: Learning, Memory, and Cognition, 15, 1147-1156.
8. Cronbach, L. J., & Snow, R. E. (1977). Aptitudes and instructional methods: A handbook for research on interactions. New York: Irvington.
9. Edmonds, A. N., Burkhardt, D., & Adjei, O. (1995). Genetic programming of fuzzy logic rules. In Proceedings of the Second IEEE Conference on Evolutionary Computation (Vol. 2, pp. 765-770). Piscataway, NJ: IEEE.
10. Gagné, R. M. (1965). The conditions of learning. New York: Holt, Rinehart & Winston.
11. Gagné, R. M., Briggs, L. J., & Wager, W. W. (1992). Principles of instructional design (4th ed.). Fort Worth, TX: Harcourt Brace.
12. Hambleton, R. K. (1996). Advances in assessment models, methods, and practices. In D. C. Berliner & R. C. Calfee (Eds.), Handbook of educational psychology (pp. 889-925). New York: American Council on Education/Macmillan.
13. IEEE LTSC. (2003). Learning object metadata. Retrieved April 10, 2003, from http://itsc.ieee.org/doc/wg12/LOM_1484_12_1_vl_Final_Draft.pdf
14. IMS Global Learning Consortium. (2001). Learning resource metadata (version 1.2.1). Retrieved April 10, 2003, from http://www.imsglobal.org/metadata/index.cfm
15. Koza, J. (1992). Genetic programming. Cambridge, MA: MIT Press.
16. Kruse, K. (2000). Web rules. (20000. Retrieved April 10, 2003, from http://www.learningcircuits.org/feb2000/feb2000_webrules.html
17. Maki, W. S., & Maki, R. H. (2002). Multimedia comprehension skill predicts differential outcomes of web-based and lecture courses. Journal of Experimental Psychology: Applied, 8, 85-98.
18. Minstrell, J. (2000). Student thinking and related instruction: Creating a facet-based learning environment. In J. Pellegrino, L. Jones, & K. Mitchell (Eds.), Grading the nation's report card: Research for the evaluation of NAEP. Washington, DC: National Academy Press.
19. Mislevy, R. J., Almond, R. G., Yan, D., & Steinberg, L. S. (1999). Bayes nets in educational assessment: Where do the numbers come from? In K. B. Laskey & H. Prade (Eds.), Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence (pp. 437-446). San Francisco: Kaufmann.
20. Mislevy, R. J., Steinberg, L. S., & Almond, R. G. (1999). On the roles of task model variables in assessment design (CSE Tech. Rep. No. 500). Los Angeles: University of California, Center for the Study of Evaluation, Graduate School of Education & Information Studies.
21. Mislevy, R. J., Steinberg, L. S., Almond, R. G., Haertel, G., & Penuel, W. (2001). Leverage points for improving educational assessment (CSE Tech. Rep. No. 534). Los Angeles: University of California, Center for Studies in Education/CRESST.
22. National Association of State Boards of Education Study Group. (2001). Any time, any place, any path, any pace: Taking the lead on e-learning policy. Retrieved April 10, 2003, from http://www.nasbe.org/e_Learning.html
23. Nokelainen, P., Tirri, H., Kurhila, J., Miettinen, M., & Silander, T. (2002). Optimizing and profiling users online with Bayesian probabilistic modeling. In Proceedings of the Networked Learning 2002 Conference (Berlin, Germany, May 2002). The Netherlands: NAISO Academic Press.
24. Quinn, C. (2001). Framework for a learning management system [Slide]. Unpublished PowerPoint presentation, KnowledgePlanet.com, Emeryville, CA.
25. Sampson, D., Karagiannidis, C., & Kinshuk. (2002). Personalised learning: Educational, technological and standardisation perspectives, interactive educational multimedia (on-line journal ISSN 1576-4990), Special Issue on Adaptive Educational Multimedia, 4 (invited paper), April 2002.
26. Shute, V. J. (1991). Who is likely to acquire programming skills? Journal of Educational Computing Research, 7(1), 1-24.
27. Shute, V. J. (1993). A comparison of learning environments: All that glitters. In S. P. Lajoie & S. J. Derry (Eds.), Computers as cognitive tools (pp. 47-74). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
28. Shute, V. J. (1994). Learning processes and learning outcomes. In T. Husen & T. N. Postlethwaite (Eds.), International encyclopedia of education (2nd ed., pp. 3315-3325). New York: Pergamon.
29. Shute, V. J. (1995). SMART: Student Modeling Approach for Responsive Tutoring. User Modeling and User-Adapted Interaction, 5, 1-44.
30. Shute, V. J., Lajoie, S. P., & Gluck, K. A. (2000). Individualized and group approaches to training. In S. Tobias & J. D. Fletcher (Eds.), Training and retraining: A handbook for business, industry, government, and the military (pp. 171-207). New York: Macmillan.
31. Snow, C. E,. & Jones, J. (2001, April 25). Making a silk purse. Education Week Commentary.
32. Snow, R. E. (1989). Toward assessment of cognitive and conative structures in learning. Educational Researcher, 18, 8-14.
33. Snow R. E. (1991). The concept of aptitude. In R. E. Snow & D. Wiley (Eds.), Improving inquiry in social science (pp. 249-284). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
34. Snow, R. E. (1994). Abilities in academic tasks. In R. J. Sternberg & R. K. Wagner (Eds.), Mind in context: Interactionist perspectives on human intelligence (pp. 3-37). New York: Cambridge University Press.
35. Sternberg, R. J. (1999). Thinking styles. New York: Cambridge University Press.
36. Tunstel, E., & Jamshidi, M. (1996). On genetic programming of fuzzy rule-based systems for intelligent control. International Journal of Intelligent Automation and Soft Computing, 2, 273-284.