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A critical review of elaboration theory

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Abstract

In this article the authors examine elaboration theory (ET), a model for sequencing and organizing courses which was developed by Charles Reigeluth and associates in the late 1970s. The purpose of the article is to offer a critique of ET based on recent cognitive research and to offer suggestions for updating the model to reflect new knowledge.

Commentary by Charles Reigeluth follows this article.

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References

  • Alexander, P. A., Schallert, D. L., & Hare, V. C. (1991). Coming to terms: How researchers in learning and literacy talk about knowledge.Review of Educational Research, 61(3), 315–343.

    Google Scholar 

  • Anderson, J. R. (1990).Cognitive Psychology and Its Implications (3rd ed.). New York: Freeman.

    Google Scholar 

  • Bereiter, C. (1991, April). Implications of connectionism for thinking about rules.Educational Researcher, 20(3), 10–16.

    Google Scholar 

  • Bransford, J. D., & Vye, N. J. (1989). A perspective on cognitive research and its implications for instruction. In L. B. Resnick & L. E. Klopfer (Eds.),Toward the thinking curriculum: Current cognitive research (pp. 173–205). Alexandria, VA: Association for Supervision and Curriculum Development.

    Google Scholar 

  • Brown, J. S., Collins, A., & Duguid, P. (1989, January–February). Situated cognition and the culture of learning.Educational Researcher, 32–42.

  • Bruner, J. S. (1966).Toward a theory of instruction. Cambridge, MA: The Belnap Press of Harvard University Press.

    Google Scholar 

  • Bunderson, C. V., Gibbons, A. S., Olsen, J. B., & Kearsley, G. P. (1981). Work models: Beyond instructional objectives.Instructional Science, 10, 205–215.

    Article  Google Scholar 

  • Burton, R. R., & Brown, J. S. (1979). An investigation of computer coaching for informal learning activities.International Journal of Man-Machine Studies, 11, 5–24.

    Google Scholar 

  • Burton, R. R., Brown, J. S., & Fischer, G. (1984). Skiing as a model of instruction. In B. Rogoff & J. Lave (Eds.),Everyday cognition: Its development in social context (pp. 139–150). Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Case, R. (1978). A developmentally based theory and technology of instruction.Review of Educational Research, 48, 439–463.

    Google Scholar 

  • Case, R., & Bereiter, C. (1984). From behaviourism to cognitive behaviourism to cognitive development: Steps in the evolution of instructional design.Instructional Science, 13, 141–158.

    Article  Google Scholar 

  • Clancey, W. J. (1992). Representations of knowing: In defense of cognitive apprenticeship.Journal of Artificial Intelligence in Education, 3(2), 139–168.

    Google Scholar 

  • Collins, A., Brown, J. S., & Newman, S. E. (1989). 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.

    Google Scholar 

  • Collins, A., & Stevens, A. L. (1983). A cognitive theory of inquiry teaching. In C. M. Reigeluth (Ed.),Instructional-design theories and models: An overview of their current status (pp. 247–278). Hillsdale, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Cunningham, D. J. (1991, May). Assessing constructions and constructing assessments: A dialogue.Educational Technology, 13–17.

  • Dreyfus, H. L., & Dreyfus, S. E. (1986).Mind over machine: The power of human intuition and expertise in the era of the computer. New York: The Free Press.

    Google Scholar 

  • Education and the structure of knowledge. (1964). Fifth annual Phi Delta Kappa Symposium. Chicago: Rand McNally.

  • Ford, G. W., & Pugno, L. (Eds.). (1964).The structure of knowledge and the curriculum. Chicago: Rand McNally.

    Google Scholar 

  • GagnĂ©, E. (1985).The cognitive psychology of school learning. Chicago: Scott Foresman.

    Google Scholar 

  • GagnĂ©, E. D., Yekovich, C. W., & Yekovich, F. R. (in press).The cognitive psychology of school learning (2nd ed.). New York: Harper Collins.

  • GagnĂ©, R. M., Briggs, L. J., & Wager, W. W. (1988).Principles of instructional design (3rd ed.). New York: Holt, Rinehart and Winston.

    Google Scholar 

  • Gillian, C. (1982).In a different voice: Psychological theory and women's development. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Harel, I. (1991, April).When mathematical ideas, programming knowledge, instructional design, and playful learning are intertwined. The Instructional Software Design Project. Paper presented at the meeting of the American Educational Research Association, Chicago.

  • Harel, I., & Papert, S. (1990). Software design as a learning environment.Interactive Learning Environments, 1(1), 1–32.

    Google Scholar 

  • Hidi, S. (1990). Interest and its contribution as a mental resource for learning.Review of Educational Research, 60(4), 549–571.

    Google Scholar 

  • Johnson-Laird, P. N. (1982).Mental models. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Jonassen, D. H. (Ed.). (1982).The technology of text: Principles for structuring, designing, and displaying text. Englewood Cliffs, NJ: Educational Technology Publications.

    Google Scholar 

  • Jonassen, D. H. (Ed.). (1985).The technology of text: Principles for structuring, designing, and displaying text (vol. 2). Englewood Cliffs, NJ: Educational Technology Publications.

    Google Scholar 

  • Jonassen, D. H. (1990, February). Chaos in instructional design.Educational Technology, 30(2), 32–34.

    Google Scholar 

  • Jonassen, D. H., Hannum, W. H., & Tessmer, M. (1989).Handbook of task analysis procedures. New York: Praeger.

    Google Scholar 

  • Kosslyn, S. M. (1980).Image and mind. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Lakoff, G. (1987).Women, fire, and dangerous things. Chicago: University of Chicago Press.

    Google Scholar 

  • Laurel, B. (1991).Computers as theatre. Reading, MA: Addison-Wesley.

    Google Scholar 

  • Mannes, S. M., & Kintsch, W. (1987). Knowledge organization and text organization.Cognition and Instruction, 4, 91–115.

    Article  Google Scholar 

  • Mayer, R. E. (1980). Elaboration techniques that increase the meaningfulness of technical text: An experimental test of the learning strategy hypothesis.Journal of Educational Psychology, 72(6), 770–784.

    Google Scholar 

  • McDonald, D. (1988).Drawing inferences from expository text. Unpublished doctoral dissertation, New Mexico State University, Las Cruces.

  • McDaniel, M. A., & Schlager, M. S. (1990). Discovery learning and transfer of problem-solving skills.Cognition and Instruction, 7(2), 129–159.

    Article  Google Scholar 

  • Merrill, M. D., Kowallis, T., & Wilson, B. G. (1981). Instructional design in transition. In F. Farley & N. Gordon (Eds.),Psychology and education: The state of the union. Chicago: McCutcheon.

    Google Scholar 

  • Merrill, M. D., Wilson, B. G., & Kelety, J. C. (1981). Elaboration theory and cognitive psychology.Instructional Science, 10, 217–235.

    Article  Google Scholar 

  • Montague, W. E. (1988). Promoting cognitive processing and learning by designing the learning environment. In D. Jonassen (Ed.),Instructional designs for microcomputer courseware (pp. 125–149). Hillsdale, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Nelson, W. A., & Orey, M. A. (1991, April).Reconceptualizing the instructional design process: Lessons learned from cognitive science. Paper presented at the annual meeting of the American Educational Research Association, Chicago.

  • Newman, D., Griffin, P., & Cole, M. (1989).The construction zone: Working for cognitive change in school. Cambridge: Cambridge University Press.

    Google Scholar 

  • Norman, D., Gentner, D., & Stevens, A. (1976). Comments on learning schemata and memory representation. In D. Klahr (Ed.),Cognition and instruction (pp. 177–196). Hillsdale, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Papert, S. (1988). The conservation of Piaget: The computer as grist to the constructivist mill. In G. Forman & P. B. Pufall (Eds.),Constructivism in the computer age (pp. 3–13). Hillsdale, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Perkins, D. A. (1991, September). What constructivism demands of the learner.Educational Technology, 19–21.

  • Posner, G. J., & Rudnitsky, A. N. (1986).Course design: A guide to curriculum development for teachers (3rd ed.). New York: Longman.

    Google Scholar 

  • Posner, G. J., & Strike, K. A. (1976). A categorization scheme for principles of sequencing content.Review of Educational Research, 46, 665–690.

    Google Scholar 

  • Putnam, R. W. (1991). Recipes and reflective learning: “What would prevent you from saying it that way?” In D. A. Schön (Ed.),The reflective turn: Case studies in and on reflective practice (pp. 145–163). New York: Teachers College Press.

    Google Scholar 

  • Reigeluth, C. M. (Ed.). (1983).Instructional-design theories and models: An overview of their current status. Hillsdale, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Reigeluth, C. M. (1987). Lesson blueprints based on the elaboration theory of instruction. In C. M. Reigeluth (Ed.),Instructional theories in action: Lessons illustrating selected theories and models (pp. 245–288). Hillsdale, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Reigeluth, C. M., & Darwazeh, A. N. (1982). The elaboration theory's procedure for designing instruction: A conceptual approach.Journal of Instructional Development, 5, 22–32.

    Google Scholar 

  • Reigeluth, C. M., Merrill, M. D., & Wilson, B. G. (1979, February).The structural strategy diagnostics profile project: Final report. Provo, UT: David O. McKay Institute, Brigham Young University.

    Google Scholar 

  • Reigeluth, C. M., Merrill, M. D., Wilson, B. G., & Spiller, R. T. (1978, July).Final report on the structural strategy diagnostic profile project. A final report submitted to the Navy Personnel Research and Development Center, San Diego.

  • Reigeluth, C. M., & Rodgers, C. A. (1980). The elaboration theory of instruction: Prescriptions for task analysis and design.NSPI Journal, 19, 16–26.

    Google Scholar 

  • Reigeluth, C. M., & Stein, R. (1983). Elaboration theory. In C. M. Reigeluth (Ed.),Instructional-design theories and models: An overview of their current status. Hillsdale, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Resnick, L. B. (1983). Toward a cognitive theory of instruction. In S. G. Paris, G. M. Olson, & H. W. Stevenson (Eds.),Learning and motivation in the classroom (pp. 5–38). Hillsdale, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Rickards, J. P. (1978). Instructional psychology: From a behavioristic to a cognitive orientation.Improving Human Performance Quarterly, 7(4), 256–266.

    Google Scholar 

  • Rosch, E., Mervis, C., Gray, W., Johnson, D., & Boyes-Braem, P. (1976). Basic objects in natural categories.Cognitive Psychology, 8, 382–349.

    Article  Google Scholar 

  • Rossett, A. (1991, February).Coaching successful performance. Paper presented at the meeting of the Association for Educational Communications and Technology, Orlando.

  • Rumelhart, D. E., & Norman, D. A. (1981). Analogical processes in learning. In J. R. Anderson (Ed.),Cognitive skills and their acquisition (pp. 335–359). Hillsdale, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Ryle, G. (1949).The concept of mind. London: Hutchinson's University Library.

    Google Scholar 

  • Salomon, G. (1974). What is learned and how it is taught: The interaction between media, message, task and learner. In D. R. Olson (Ed.),Media and symbols: The forms of expression, communication, and education (73rd Yearbook of NSSE, pp. 383–406). Chicago: University of Chicago Press.

    Google Scholar 

  • Salomon, G., & Sieber, J. E. (1970). Relevant subjective response uncertainty as a function of stimulus-task interaction.American Educational Research Journal, 7, 337–350.

    Google Scholar 

  • Salmoni, A. W., Schmidt, R. A., & Walter, C. B. (1984). Knowledge of results and motor learning: A review and critical reappraisal.Psychological Bulletin, 95(3), 355–386.

    Google Scholar 

  • Schank, R. C., & Jona, M. Y. (1991). Empowering the student: New perspectives on the design of teaching systems.The Journal of the Learning Sciences, 1(1), 7–35.

    Google Scholar 

  • Schoenfeld, A. H. (1985).Mathematical problem solving. New York: Academic Press.

    Google Scholar 

  • Schön, D. (1983).The reflective practitioner. New York: Basic Books.

    Google Scholar 

  • Schön, D. (1987).Educating the reflective practitioner: Toward a new design for teaching and learning in the professions. San Francisco: Jossey-Bass.

    Google Scholar 

  • Siegler, R. S. (1991).Children's thinking (2nd ed.). Englewood Cliffs, NJ: Prentice-Hall.

    Google Scholar 

  • Simon, H. (1980). Problem solving and education. In D. T. Tuma & F. Reif (Eds.),Problem solving and education: Issues in teaching and research (pp. 81–96). Hillsdale, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Smith, P. L., & Wedman, J. F. (1988). The effects of organization of instruction on cognitive processing. In M. Simonson (Ed.),Selected research papers. Washington, DC: Association for Educational Communications and Technology.

    Google Scholar 

  • Spiro, R. J., Feltovich, P. J., Coulson, R. L., & Anderson, D. K. (1989). Multiple analogies for complex concepts: Antidotes for analogy-induced misconception in advanced knowledge acquisition. In S. Vosniadou & A. Ortony (Eds.),Similarity and analogical reasoning (pp. 498–531). Cambridge UK: Cambridge University Press.

    Google Scholar 

  • Spiro, R. J., & Jehng, J-C. (1990). Cognitive flexibility and hypertext: Theory and technology for the nonlinear and multidimensional traversal of complex subject matter. In D. Nix & R. J. Spiro (Eds.),Cognition, education, and multimedia: Exploring ideas in high technology (pp. 163–205). Hillsdale, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Strike, K. A., & Posner, G. J. (1976). Epistemological perspectives on conceptions of curriculums organization and learning.Review of Research in Education, 4, 106–141.

    Google Scholar 

  • Taylor, R. (1991, Spring). NSPI president challenges instructional design profs.ITED Newsletter, 1, 4–5.

    Google Scholar 

  • Tessmer, M. (1991, April). Personal communication.

  • Tessmer, M., Wilson, B., & Driscoll, M. (1990). A new model of concept learning and teaching.Educational Technology Research and Development, 38(1), 45–53.

    Google Scholar 

  • Tulving, E. (1985). How many memory systems are there?American Psychologist, 40(4), 385–398.

    Article  Google Scholar 

  • Wedman, J., & Tessmer, M. (1990). Adapting instructional design to project circumstance: The layers of necessity model.Educational Technology, 31(7), 48–52.

    Google Scholar 

  • Wertsch, J. V. (1985).Vygotsky and the social formation of mind. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • White, B. Y., & Frederiksen, J. R. (1986).Progressions of quantitative models as a foundation for intelligent learning environments [Technical Report #6277]. Cambridge, MA: Bolt, Beranek & Newman.

    Google Scholar 

  • Wilson, B. G. (1985). Techniques for teaching procedures.Journal of Instructional Development, 8(2), 42–51.

    Google Scholar 

  • Wilson, B. G. (1985–86). Using content structure for course design.Journal of Educational Technology Systems, 14(2), 137–147.

    Article  Google Scholar 

  • Wilson, B. G., & Cole, P. (in press-a). An instructional-design review of cognitive teaching models emerging from cognitive psychology.Educational Technology Research & Development Journal.

  • Wilson, B., & Cole, P. (in press-b). Cognitive dissonance as an instructional variable.Ohio Media Spectrum.

  • Wilson, B. G., & Merrill, M. D. (1980). General-to-detailed sequencing of concepts in a taxonomy is in general agreement with learning hierarchy analysis.Performance and Instruction, 19, 11–14.

    Google Scholar 

  • Wilson, B. G., & Tessmer, M. (1990). Adults' perceptions of concept learning outcomes: An initial study and discussion. In M. Simonson (Ed.),Proceedings of selected research presentations. Washington, DC: Association for Educational Communications and Technology, Research and Theory Division.

    Google Scholar 

  • Winn, W. (1990). Some implications of cognitive theory for instructional design.Instructional Science, 19, 53–69.

    Article  Google Scholar 

  • Winograd, T., & Flores, F. (1986).Understanding computers and cognition: A new foundation for design. Norwood, NJ: Ablex.

    Google Scholar 

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Wilson, B., Cole, P. A critical review of elaboration theory. ETR&D 40, 63–79 (1992). https://doi.org/10.1007/BF02296843

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