Skip to main content

Transitions in the Theoretical Foundation of Instructional Design

  • Chapter

Part of the book series: NATO ASI Series ((NATO ASI F,volume 105))

Abstract

In the literature, it is generally agreed upon that the roots and theoretical base of Instructional Design (I.D.) can be found in behaviorism (see Andrews & Goodson, 1981; Case & Bereiter, 1984; Merrill, Kowallis & Wilson, 1981; Jonassen, 1990; Spencer, 1988). I.D. originates from the endeavors of behavioristic learning psychologists, like Skinner (1954) and Pressey (1960) to make instruction more controllable, efficient and effective by applying behavioristic learning principles. In addition, for the construction of particular I.D. models, derivates and aspects of General System Theory (Jonassen, 1984) were added to basic learning principles.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   89.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Andrews, D.H. & Goodson, L.A. (1981). A comparative analysis of models of instructional design. Journal of Instructional Development, 3(4), 2–16.

    Article  Google Scholar 

  • Baker, E.L., Atwood, N.K., & Duffy, T.M. (1988). Cognitive approaches to assessing the readability of text. In A. Davison, & G.M. Green (Eds.), Linguistic complexity and text comprehension. Readability issues reconsidered. Hillsdale, N.J.: Lawrence Erlbaum Associates, p. 55–83.

    Google Scholar 

  • Bednar, A.K., Cunningham, D., Duffy, T.M., & Perry, J.D. (1992). Theory into practice: How do we link? In G.A. Anglin (Ed.). Instructional technology: Past, present and future. Denver, CO: Libraries Unlimited.

    Google Scholar 

  • Bonner, J. (1988). Implications of cognitive theory for instructional design: Revisited. Educational Communications and Technology journal, 36(1), 3–14.

    MathSciNet  Google Scholar 

  • Briggs, L. J. (1982). Instructional design: Present strengths and limitations, and a view of the future. Educational Technology, 22(10), 18–23.

    Google Scholar 

  • Calfee, R. (1984). Cognitive psychology and educational practice. Review of Research in Education, 9, p. 3–73.

    Google Scholar 

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

    Article  Google Scholar 

  • Clark, R.E. (1989). Current progress and future directions for research in instructional technology. Educational Technology Research & Development, 37(1), 57–66.

    Article  Google Scholar 

  • Clark, R.E. (1990a). The contributions of cognitive psychology to the design of technology supported powerful learning environments. s.l.: University of Southern California, 12 pp.

    Google Scholar 

  • Clark, R.E. (1990b). Domain-general transfer of problem solutions: Cognitive structures, processes and instructional methods. California: University of Southern California, 41 pp.

    Google Scholar 

  • Clark, R.E., & Voogel, A. (1985). Transfer of training principles for instructional design. Educational Communication and Technology Journal, 33(2), 113–125.

    Google Scholar 

  • Cobb, P. (1990). A constructivist perspective on information-processing theories of mathematical activity. International Journal of Educational Research, 14(1), 67–92.

    Article  Google Scholar 

  • Collins, A. Brown, S.J., & 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. Hillsdale, N.J.: Lawrence Erlbaum Associates, 453–494.

    Google Scholar 

  • Council of Europe (1980). Educational technology for permanent education: A critical re-appraisal. Strasbourg: Council of Europe.

    Google Scholar 

  • Cziko, G.A. (1989). Unpredictability and indeterminism in human behavior: Arguments and implications for educational research. Educational Researcher, 18(3), 17–25.

    Google Scholar 

  • Di Vesta, F. & Rieber, L.P. (1987). Characteristics of cognitive engineering: The next generation of instructional systems. Educational Communications and Technology Journal, 35(4), 213–230.

    Google Scholar 

  • Duffy, T.M. (1990). Toward aiding the text design process. Bloomington, In.: Indiana University, 9 pp. (Paper symposium ‘Improving the quality of texts through rewriting’, AERA, Boston).

    Google Scholar 

  • Elen, J., & Lowyck, J. (1989). Een cognitief model voor de ontwikkeling van schriftelijk studiemateriaal. Tijdschrift voor Hoger Onderwijs, 7(3), 89–100.

    Google Scholar 

  • Gagne, R.M., Merrill, M.D. (1989). Integrative goals for instructional design. Educational Technology Research & Development, 38(1), 23–30.

    Article  Google Scholar 

  • Gallini, J.K., & Fisk, A.D. (1986). An information-processing approach to instructional system design. Educational Technology, 26(4), 24–26.

    Google Scholar 

  • Gardner, M.K. (1985). Cognitive approaches to instructional task analysis. Review of Research in Education, 12, 157–195.

    Google Scholar 

  • Glaser, R. (1971). The design of instruction. In: M.D. Merrill (Ed.). Instructional design: Readings. Englewood Cliffs, NJ: Prentice Hall, p. 18–37.

    Google Scholar 

  • Glaser, R. (1976). Components of a psychology of instruction: Toward a science of design. Review of educational research, 46, 1–24.

    Google Scholar 

  • Greer, B. & Verschaffel, L. (1990). Introduction. In B. Greer & L. Verschaffel (Eds.). Mathematics education as a proving-ground for information-processing theories. International Journal of Educational Research, 14(1), 3–12.

    Article  Google Scholar 

  • Gropper, G.L. (1983). A meta-theory of instruction: A framework for analyzing and evaluating instructional theories and models. In C.M. Reigeluth (Ed.). Instructional-design theories and models: An overview of their current status. Hillsdale, N.J.: Lawrence Erlbaum Associates, p. 37–53.

    Google Scholar 

  • Jonassen, D.H. (1984). The mediation of experience and educational technology. Educational Communications and Technology Journal, 32(3), 153–167.

    Google Scholar 

  • Jonassen, D.H. (1985). Generative learning vs. mathemagenic control of text processing. In D.H. Jonassen (Ed.), The technology of text. Vol. 2. principles for structuring, designing, and displaying text. Englewood Cliffs, NJ.: Educational Technology Publications, p. 9–45.

    Google Scholar 

  • Jonassen, D.H. (1990). Toward a constructivist view of instructional design. Educational Technology, 30 (Sept.), 32–34.

    Google Scholar 

  • Kintsch, W. (1986). Learning from text. Cognition and Instruction, 3(2), 87–108.

    Article  Google Scholar 

  • Landa, L.N. (1983). Descriptive and prescriptive theories of learning and instruction: An analysis of their relationships and interactions. In C.M. Reigeluth (Ed.). Instructional design theories and models: An overview of their current status. Hillsdale, NJ: Lawrence Erlbaum Associates, p. 55–69.

    Google Scholar 

  • Lowyck, J. (1980). A process analysis of teaching (report number 21). Leuven: Leuven University.

    Google Scholar 

  • Lowyck, J. (1988). Herorintatie in de cursusontwikkeling: een perspectief. In J. Lowyck, J. Elen, & J. Van den Branden (Eds.). Actuele trends in cursusontwikkeling. Leuven: K.U. Leuven, O.U. Eenheid, p. 3–8.

    Google Scholar 

  • Lowyck, J. (1990) Teacher thinking studies: Bridges between description, prescription and application. In C. Day, M. Pope & P. Denicolo (Eds.). Insights into teachers’ thinking and practice. London/New York: Falmer Press, 85–103.

    Google Scholar 

  • Lowyck, J. & Elen, J. (1990). Self-study packages: vantage points for a new instructional design. International Journal of Educational Research, 14(6), 565–579.

    Article  Google Scholar 

  • Merrill, M.D. (1971). Fundamentals of instructional design. In M.D. Merrill (Ed.), Instructional design: Readings. Englewood Cliffs, N.J.: Prentice Hall, p.1–4.

    Google Scholar 

  • Merrill, M.D., Kowallis, T. & Wilson, B.G. (1981). Instructional design in transition. In F.H. Farley & N.J. Gordon (Eds.). Psychology and education: The State of the union. Berkeley: McCutchan, p. 298–348.

    Google Scholar 

  • Merrill, M.D., Li, Z., & Jones, M.K. (1990). Limitations of first generation instructional design. Educational Technology, 30 (Jan.), 7–11.

    Google Scholar 

  • Nelson, W.A. (1987). Procedural differences and knowledge organization in expert and novice instructional designers. Blacksburg, Virginia: Virginia Polytechnic Institute and State University, 17 pp. (Paper AERA, 1987, Washington D.C.).

    Google Scholar 

  • Nelson, W.A., Magliaro, S. & Sherman, T.M. (1988). The intellectual content of instructional design. Journal of Instructional Development, 11(1), 29–35.

    Google Scholar 

  • Palincsar, A.S. & Brown, A.L. (1984). Reciprocal teaching of comprehension-fostering and comprehension-monitoring activities.Cognition and Instruction, 1, 117–175.

    Article  Google Scholar 

  • Posner, G.S. (1978). Tools for curriculum research and development: Potential contributions from cognitive science. Curriculum Inquiry, 8(4), 311–340.

    Article  MathSciNet  Google Scholar 

  • Pressey, S.L. (1960). A third and fourth contribution toward the coming ‘industrial revolution’ in education. In A.A. Lumsdaine, & R. Glaser (Eds.), Teaching machines and programmed learning. A source book. Washington, D.C.: National Education Association, p. 47–51.

    Google Scholar 

  • Reif, F. (1985). Acquiring an effective understanding of scientific concepts. In L.H.T. West, & A.L. Pines (Eds.), Cognitive structure and conceptual change. Orlando/London: Academic Press, p. 133–156. (Educational Psychology Series)

    Google Scholar 

  • Reigeluth, C.M. (1983). Instructional design: What is it and why is It ? In C.M. Reigeluth (Ed.). Instructional design theories and models: An overview of their current status. Hillsdale, NJ: Lawrence Erlbaum Associates, p. 3–36.

    Google Scholar 

  • Reigeluth, C.M. (1989). Educational technology at the crossroads: New mindsets and new directions Educational Technology Research and Development, 37(1), 67–80.

    Article  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. Hillsdale, N.J.: Lawrence Erlbaum Associates, p. 5–38.

    Google Scholar 

  • Richardson, V. (1990). Significant and worthwhile change in teaching practice. Educational Researcher, 19(7), 10–18.

    Google Scholar 

  • Schmitt, M.C., & Newby, T.J. (1986). Metacognition: Relevance to instructional design. Journal of Instructional Development, 9(4), 29–33.

    Article  Google Scholar 

  • Shavelson, R.J. (1974). Methods for examining representations of a subject-matter structure in a student’s memory. Journal of Research in Science Teaching, 11(3), 231–249.

    Article  Google Scholar 

  • Shuell, T.J. (1982). Developing a viable link between scientific psychology and educational practices. Instructional Science, 11, 155–167.

    Article  Google Scholar 

  • Shuell, T.J. (1986). Cognitive conceptions of learning. Review of Educational Research, 56(4), 411–436.

    Google Scholar 

  • Shuell, T.J. (1988). The role of the student in learning from instruction. Contemporary Educational Psychology, 13, 276–295.

    Article  Google Scholar 

  • Simons, P.R.J. (1989). Learning to learn. In P. Span, E. De Corte, & B. Van Hout-Wolters (Eds.). Onderwijsleerprocessen: Strategien voor verwerking van informatie. Lisse: Swets & Zeitlinger, p. 15–25.

    Google Scholar 

  • Skinner, B.F. (1954). The science of learning and the art of teaching. Harvard Educational Review, 24, 86–97.

    Google Scholar 

  • Spencer, K. (1988). The psychology of educational technology and instructional media. London: Routledge.

    Google Scholar 

  • Spiro, R.J. (1980). Constructive processes in prose comprehension and recall. In R.J. Spiro, B.C. Bruce, & W.F. Brewer. Theoretical issues in reading comprehension. Hillsdale, N.J., Lawrence Erlbaum Associates, 245–278.

    Google Scholar 

  • Streibel, M.J. (1989). Instructional design and situated learning: Is a marriage possible? Madison: University of Wisconsin (Paper AERA, 1989, San Francisco).

    Google Scholar 

  • Strike, K.A., & Posner, G.J. (1985). A conceptual change view of learning and understanding. In L.H.T. West, & A.L. Pines (Eds.). Cognitive structure and conceptual change. Orlando/London: Academic Press, p. 211–231. (Educational Psychology Series)

    Google Scholar 

  • Taylor, R. & Doughty, P.L. (1988). Instructional development models: Analysis at the task and subtask level. Journal of Instructional Development, 11,4, p. 19–28.

    Article  Google Scholar 

  • Tennyson, R.D., & Rasch, M. (1988). Linking cognitive learning theory to instructional prescriptions. Instructional Science, 17, 369–385.

    Article  Google Scholar 

  • Vermunt, J.D.H.M. (1989). The interplay between internal and external regulation of learning, and the design of process-oriented instruction. Tilburg: Tilburg University (Paper EARLI, 1989, Madrid).

    Google Scholar 

  • Wildman, T.M. (1981). Cognitive theory and the design of instruction. Educational Technology, 21, 14–20.

    Google Scholar 

  • Wildman, T.M., & Burton, J.K. (1981). Integrating learning theory with instructional design. Journal of Instructional Development, 4, 5–14.

    Article  Google Scholar 

  • Winn, W. (1987). Instructional design and intelligent systems: Shifts in designer’s decision-making role. Instructional Science, 16, 59–77.

    Article  Google Scholar 

  • Winn, W. (1989). Toward a rationale and theoretical basis for educational technology. Educational Technology Research and Development, 37(1), 35–46.

    Article  MathSciNet  Google Scholar 

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

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1993 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Lowyck, J., Elen, J. (1993). Transitions in the Theoretical Foundation of Instructional Design. In: Duffy, T.M., Lowyck, J., Jonassen, D.H., Welsh, T.M. (eds) Designing Environments for Constructive Learning. NATO ASI Series, vol 105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-78069-1_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-78069-1_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-78071-4

  • Online ISBN: 978-3-642-78069-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics