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Building Interactive World Wide Web (Web) Learning Environments to Match and Support Individual Learning Differences
Article

, , Brigham Young University, United States

Journal of Interactive Learning Research Volume 11, Number 2, ISSN 1093-023X Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC

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Abstract

This investigation examined individual learning differences and adaptive learning in interactive World Wide Web (Web or WWW) learning environments from a new perspective. This per-spective differs from traditional highly cognitive approaches be-cause it highlights the dominant influence of emotions and inten-tions and their impact on learning. The study introduced learner-difference profiles called learning orientations and the System for Intentional Learning and Performance Assessment (SILPA), an interactive Web learning environment, to investigate how individ-uals manage learning in environments designed to support learn-ing orientations. To accomplish this purpose, this study used learning orientation to (a) add the learner-difference dimension to the research design and analytical models (b) differentiate the learning audience, (c) guide the design of the learning environ-ment and presentation of the treatment, and (d) make interpreta-tions about the results. A secondary purpose was to test the SILPA as a promising new instructional and formative research model for Web learning.

Citation

BUNDERSON, C.V. & MARTINEZ, M. (2000). Building Interactive World Wide Web (Web) Learning Environments to Match and Support Individual Learning Differences. Journal of Interactive Learning Research, 11(2), 163-195. Charlottesville, VA: Association for the Advancement of Computing in Education (AACE). Retrieved January 30, 2023 from .

© 2000 Association for the Advancement of Computing in Education (AACE)

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References

View References & Citations Map
  1. Bangert-Drowns, R., & Rudner, L. (1991). Meta-analysis in educational research. Paper presented to ERIC Clearinghouse on Tests, Measurement, and Evaluation, Washington, DC. (ERIC Document Reproduction Service No. ED339748)
  2. Bereiter, C., & Scardamalia, M. (1993). Surpassing ourselves: Inquiry into the nature and implications of expertise. Chicago, IL: Open Court.
  3. Bereiter, C., & Scardamalia, M. (1989). Intentional learning as a goal of instruction. In L.B. Resnick, (Ed.), Knowing, learning, and instruction: Essays in honor of Robert Glaser (pp. 361-392). Hillsdale: Lawrence Erlbaum.
  4. Brown, A. (1987). Metacognition, executive control, self-regulation, and other more mysterious mechanisms. In F. Weinert & R. Kluwe, (Eds.), Metacognition, motivation, and understanding (pp. 65-116). Hillsdale: Lawrence
  5. Cronbach, L. (1957). The two disciplines of scientific psychology. American 190 Martinez and Bunderson
  6. Corno, L. (1993). The best laid plans: Modern conceptions of volition and educational research. Educational Researcher, 22(3), 14-22.
  7. Federico, P. (1980). Adaptive instruction: Trends and issues. In R. Snow& M. Farr, (Eds.), Conative and affective process analysis (Vol. 1, pp. 1-26).
  8. Flavell, J.H. (1987). Speculations about the nature and development of metacognition. In F. Weinert and R. Kluwe, (Eds.), Metacognition, motivation, and understanding (pp. 21-29). Hillsdale: Lawrence Erlbaum.
  9. Flavell, J. (1979). Metacognition and cognitive monitoring: A new area of psychological inquiry. American Psychologist, 34, 906-911
  10. Gagné, R. (1967). Learning and individual differences. Columbus, OH: Merrill.
  11. Glaser, R. (1976). Components of a psychology of instruction: Toward a science of design. Review of Educational Research, 46(1), 1-24.
  12. Glaser, R. (1972). Individuals and learning: The new aptitudes. Educational Researcher, 1(6), 5-13.
  13. Ledoux, J. (1996). Emotional brain: The mysterious underpinnings of emotional life. NY: Simon& Schuster.
  14. Littell, R., Freund, R., & Spector, P. (1991). SAS systems for linear models. 3rd ed. North Carolina: SAS Institute.
  15. Littell, R., Miliken, G., Stroup, W., & Wolfinger, R. (1996). SAS Systems for mixed models. North Carolina: SAS Institute.
  16. McCombs, B. (1996). Alternative perspectives for motivation. In L. Baker, P. Afflerbach, & D. Reinking, (Eds.), Developing engaged readers in school and home communities (pp. 67-87). Hillsdale: Lawrence Erlbaum.
  17. Maddux, C. (1993). Past and future stages in education computing research. In H.C. Waxman& G.W. Bright, (Eds.), Approaches to research on teacher education and technology (pp. 11-22). Charlottesville, VA: Association for
  18. Martinez, M. (1999). An investigation into successful learning-measuring the impact of learning orientation, a primary learner-difference variable, on learning. (University Microfilms No. 992217)
  19. Martinez, M. (1998). Development and validation of the intentional learning orientation questionnaire. Unpublished manuscript, Brigham Young University, Utah.
  20. Martinez, M., & Bunderson, C. (1998). Transformation: A description of intentional learning. The Researcher, 13(1), 27-35. (ERIC Document Reproduction Service No. ED 408 260)
  21. Martinez, M. (1997). Designing intentional learning environments. Proceedings of the ACM SIGDOC 97 International Conference on Computer Documen-Building Interactive Web Learning Environments 191
  22. Melton, A. (1967). Individual differences and theoretical process variables: General comments on the conference. In R. Gagné, (Ed.), Learning and individual differences. Columbus, OH: Merrill.
  23. Reeves, T. (1993). Pseudoscience in computer-based instruction: The case of learner control research. Journal of Computer-Based Instruction, 20(2), 39-46.
  24. Russell, T. (1997). Technology wars : Winners and losers. Educom Review, 32(2), 44-46.
  25. Snow, R., & Jackson, D. (1997). Individual differences in conation: selected constructs and measures. (CRESST CSE Technical Report 447). Palo Alto: Stanford University, Department of Education.
  26. Snow, R. (1989). Toward assessment of cognitive and conative structures in learning. Educational Researcher, 18(9), 8-14.
  27. Snow, R. (1987). Aptitude complexes. In R.E. Snow& M. Farr, (Eds.), Aptitude, learning, and instruction, conative and affective process analysis. (Vol. 3, pp. 11-34). Hillsdale: Lawrence Erlbaum.
  28. Weiner, R. (1972). Attribution theory, achievement motivation, and the educational process. Review of Educational Research, 42, 203-215.
  29. Woodward, A. (1998). Infants selectively encode the goal object of an actor ’s reach. Cognition, 69, 1-34.

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