Skip to main content

Psychological Foundations for Automated Instructional Design

  • Conference paper
  • 203 Accesses

Part of the book series: NATO ASI Series ((NATO ASI F,volume 140))

Abstract

This chapter presents a cognitive view of the educational foundations for the design of automated instructional design systems. We summarize theories of instruction and learning that are based on cognitive theory and discuss how such theories form a basis for automating instructional design. Of specific interest in this chapter are issues related to knowledge representation and higher-order cognition.

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   169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   219.99
Price excludes VAT (USA)
  • Durable hardcover 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

  • Ausubel, D.P. (1980). Schemata, cognitive structure, and advance organizers: A reply to Anderson, Spiro, and Anderson. American Educational Research Journal, 17, 400–404.

    Google Scholar 

  • Anderson, R. C. (April, 1984). Some reflections on the acquisition of knowledge. Presidential Address, American Educational Research Association New Orleans, LA.

    Google Scholar 

  • Ausubel, D. P., Novak, J. D., & Hanesian, H. (1978). Educational psychology: A cognitive view. ed]2nd Ed. New York: Holt, Rinehart, & Winston.

    Google Scholar 

  • Bartlett, F. C. (1932). Remembering. London: Cambridge University Press.

    Google Scholar 

  • Beckschi, P. F., Lierman, B. C, Redding, R. E. & Ryder, J. M. (1993). Procedural guide for integrating cognitive methods into instructional system development task analysis (Report No. AL-TR-1993-0020). Brooks Air Force Base, TX: Armstrong Laboratory.

    Google Scholar 

  • Bereiter, C. (1990). Aspects of an educational learning theory. Review of Educational Research, 60, 603–624.

    Google Scholar 

  • Bransford, J. D. (1979). Human cognition. Belmont, CA: Wadsworth.

    Google Scholar 

  • Breuer, K., & Kummer, R. (1990). Cognitive effects from process learning with computer-based simulations. Computers in Human Behavior, 6, 69–81.

    Article  Google Scholar 

  • Brown, J. S., Collins, A., & Duguid, P. (1989). Situated cognition and the culture of learning. Educational Researcher, 18(1), 32–42.

    Google Scholar 

  • Egan, D. E., & Greeno, J. G. (1973). Acquiring cognitive structure by discovery and rule learning. Journal of Educational Psychology, 64, 85–97.

    Article  Google Scholar 

  • Fodor, J. A. (1983). The modular theory of mind: An essay on faculty psychology. Lexington, VT: Bradford Books.

    Google Scholar 

  • Galotti, K. M. (1989). Approaches to studying formal and everyday reasoning. Psychological Bulletin, 105, 331–51.

    Article  Google Scholar 

  • Gardner, M. K. (1985). Cognitive psychological approaches to instructional task analysis. Review of Research in Education, 55, 212–27.

    Google Scholar 

  • Garner, R. (1990). When children and adults do not use learning strategies: Toward a theory of settings. Review of Educational Research, 60, 517–529.

    Google Scholar 

  • Glaser, R. (1984). Education and thinking: The role of knowledge. American Psychologist, 39, 93–104.

    Article  Google Scholar 

  • Greeno, J. G. (1980). Psychology of learning, 1960-1980. American Psychologist, 35, 713–728.

    Article  Google Scholar 

  • Harré, R. (1984). Personal being: A theory for individual psychology. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Hewson, P. W., & Posner, G. J. (1984). The use of schema theory in the design of instructional materials: A physics example. Instructional Science, 13, 119–139.

    Article  Google Scholar 

  • Jonassen, D. H., & Hannum, W. H. (1986). Analysis of task analysis procedures. Journal of Instructional Development, 9(2), 4–11.

    Article  Google Scholar 

  • Klahr, D., Langley, P., & Neches, R. (Eds.). (1987). Production system models of learning development. Cambridge, MA: MIT Press.

    Google Scholar 

  • Martin, J. (1984). Toward a cognitive schemata theory of self-instruction. Instructional Science, 13, 159–180.

    Article  Google Scholar 

  • Mayer, R. E. (1979). Can advance organizers influence meaningful learning? Review of Educational Research, 49, 371–383.

    Google Scholar 

  • Mayer, R. E. (1981a). An evaluation of the elaboration model of instruction. Journal of Instructional Development, 5, 23–25.

    Article  Google Scholar 

  • Mayer, R. E. (1981b). The promise of cognitive psychology. San Francisco: W. H. Freeman.

    Google Scholar 

  • Mayer, R. E. (1983). Can you repeat that? Qualitative effects of repetition and advance organizers on learning from science prose. Journal of Educational Psychology, 75, 40–49.

    Article  Google Scholar 

  • Merrill, M. D., Li, Z., & Jones, M. K. (1990). Limitations of first generation instructional design. Educational Technology, 30(1), 7–11.

    Google Scholar 

  • Mishler, E. G. (1979). Meaning in context: Is there any other kind? Harvard Educational Review, 49, 1–19.

    Google Scholar 

  • Miyake, N., & Norman, D. A. (1979). To Ask a question, one must know enough to know what is not known. Journal of Verbal Learning and Verbal Behavior, 18, 357–364.

    Article  Google Scholar 

  • Morrison, G. R., Ross, S. M., O’Dell, J. K., Schultz, C. W., & Higginbotham-Wheat, N. (1989). Implications for the design of computer-based instruction screens. Computers in Human Behavior, 5, 167–174.

    Article  Google Scholar 

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

    Google Scholar 

  • Reigeluth, C. M. (1983). Current trends in task analysis. Journal of Instructional Development, 6(4), 3–9.

    Article  Google Scholar 

  • Ross, S. M. (1983). Increasing the meaningfulness of quantitative material by adapting context to student background. Journal of Educational Psychology, 75, 519–529.

    Article  Google Scholar 

  • Schott, F. (1992). The useful representation of instructional objectives: A task analysis of task analysis. In S. Dijkstra, H. P. M. Krammer, & J.J.G. vanMerrienboer (Eds.), Instructional models in computer-based learning environments. NATO ASI Series F, Vol. 104. Berlin: Springer.

    Google Scholar 

  • Tennyson, R. D. (1987). MAIS: An educational alternative of ICAI. Educational Technology, 27, 22–28.

    Google Scholar 

  • Tennyson, R. D. (1988). An instructional strategy planning model to improve learning and cognition. Computers in Human Behavior, 4, 13–22.

    Article  Google Scholar 

  • Tennyson, R. D. (1990a). Cognitive learning theory linked to instructional theory. Journal of Structural Learning, 10, 249–258.

    Google Scholar 

  • Tennyson, R. D. (1990b). Instructional design theory: Advancements from cognitive science and instructional technology. In M.R. Simonson (Ed.), Proceedings of the 1990 Convention of the Association for Educational Communications and Technology, 6, 609–619.

    Google Scholar 

  • Tennyson, R. D. (1990c). Integrated instructional design theory: Advancements from cognitive science and instructional technology. Educational Technology, 30(8), 14–21.

    Google Scholar 

  • Tennyson, R. D. (1990d). A proposed cognitive paradigm of learning for educational technology. Educational Technology, 30(6), 16–19.

    Google Scholar 

  • Tennyson, R. D. (1992). An educational learning theory for instructional design. Educational Technology, 32(1), 36–41.

    Google Scholar 

  • Tennyson, R. D., & Christensen, D.C. (1988). MAIS: An intelligent learning system. In D. H. Jonassen (Ed.), Instructional designs for microcomputer courseware (pp. 247–274). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Tennyson, R. D., & Cocchiarella, M. J. (1986). An empirically based instructional design theory for concept teaching. Review of Educational Research, 36, 40–71.

    Google Scholar 

  • Tennyson, R. D., Elmore, R. L. & Snyder, L. L. (1992). Acquisition of domain knowledge: Employment of integrated instructional strategies. Educational Technology Research and Development, 40(2), 9–22.

    Article  Google Scholar 

  • Tennyson, R. D., & Park, O. (1987). Artificial intelligence and computer-assisted learning. In R. Gagne (Ed.), Instructional technology: Foundations (pp. 319–342). Hillsdale, NJ: Erlbaum.

    Google Scholar 

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

    Article  Google Scholar 

  • Tennyson, R. D., Snyder, L. L., & Elmore, R. L. (1992). Contextual module analysis and instructional design. In S. Dijkstra, H. P. M. Krammer, & J.J.G. van Merrienboer (Eds.), Instructional models in computer-based learning environments. NATO ASI Series F, Vol. 104. Berlin: Springer.

    Google Scholar 

  • Tennyson, R. D., Thurlow, R., & Breuer, K. (1988). Problem-oriented simulations to develop and improve higher-order thinking skills. Computer in Human Behavior, 3, 151–165.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1995 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Elmore, R.L., Tennyson, R.D. (1995). Psychological Foundations for Automated Instructional Design. In: Tennyson, R.D., Barron, A.E. (eds) Automating Instructional Design: Computer-Based Development and Delivery Tools. NATO ASI Series, vol 140. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-57821-2_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-57821-2_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-63366-9

  • Online ISBN: 978-3-642-57821-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics