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Automating Decision Support In Instructional System Development: The Case of Delivery Systems

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Automating Instructional Design: Computer-Based Development and Delivery Tools

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

Abstract

This chapter will report on the background and scope of the prescriptive decision theory (PDT) for automating instructional system development (ISD) in general, and for “media selection” in particular. The PDT employs interactive procedures which reveal the preference structure of the decision-maker. This preference structure is related to objective phases of calculation during which the computer investigates alternative propositions based on available data or knowledge bases. This procedure will be exemplified by a media selection problem. This example shall demonstrate that, with the help of PDT, it is possible to evaluate decision alternatives by taking into account the relative importance of the individual goals and the outcomes for the decision-maker, whereby each phase of the evaluation process is fully explicated.

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References

  • Bronczek, R. H., Holsapple, C. W., & Winston, A. B. (1981). Foundations of decision support systems. New York: Academic Press.

    Google Scholar 

  • Cantor, J. A. (1988). Research and development into a comprehensive media selection model. Journal of Instructional Psychology, 15(3), 118–131.

    Google Scholar 

  • Chao, P., & Gustafson, K. L. (1989). The development and evaluation of Media Selection Expert System: A matrix format knowledge base approach. Athens, GA: The University of Georgia.

    Google Scholar 

  • Coombs, C. H., Dawes, R. M., & Tversky, A. (1970). Mathematical psychology. Englewood Cliffs, NJ: Prentice-Hall.

    MATH  Google Scholar 

  • Dick, W. (1993). Enhanced ISD: A response to changing environments for learning and performance. Educational Technology, 33(2), 12–16.

    MathSciNet  Google Scholar 

  • Dick, W., & Reiser, R. A. (1989). Planning effective instruction. Englewood Cliffs, New Jersey: Prentice Hall.

    Google Scholar 

  • Duchastel, P. (1990). Cognitive design for instructional design. Instructional Science, 19, 437–444.

    Article  Google Scholar 

  • Eichenwald, L.D., & Penterman, A. F. M. (1992). Internship at the DIFF. Tübingen, Germany: DIFF.

    Google Scholar 

  • Eichenwald, L. D., & Penterman, A. F. M. (1993). Verify your medium-choice, a decision support system to evaluate a medium choice. Tübingen, Germany: DIFF.

    Google Scholar 

  • Einsiedler, W. (1981). Lehrmethoden. Probleme und Ergebnisse der Lehrmethodenforschung. Munchen: Urban & Schwarzenberg.

    Google Scholar 

  • Flechsig, K. H. (1990). Einfuhrung in CEDID. Ein Tätigkeitsunterstützendes und wissensba-siertes System für computerergônztes didaktisches Design. Göttingen, Germany: CEDID GmbH.

    Google Scholar 

  • Fletcher, J. D., Hawley, D. E., & Piele, P. K. (1990). Costs, effects, and utility of microcomputer assisted instruction in the classroom. American Educational Research Journal, 27, 783–806.

    Google Scholar 

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

    Google Scholar 

  • Gayeski, D. M. (1991). Software tools for empowering instructional developers. Performance Improvement Quarterly, 4(4), 21–36.

    Article  Google Scholar 

  • Gottinger, H.W., & Weimann, P. (1992). Intelligent decision support systems. Decision Support Systems, 8, 317–332.

    Article  Google Scholar 

  • Hayes-Roth, F., Waterman, D. A., & Lenat, D. B. (Eds.) (1983). Building expert systems. Reading, MA: Addison-Wesley.

    Google Scholar 

  • Hannafin, M. J. (1992). Emerging technologies, ISD, and learning environment: Critical perspectives. Educational Technology Research & Development, 40, 49–63.

    Article  Google Scholar 

  • Hannafin, M. J., & Rieber, L. P. (1989). Psychological foundations of instructional design for emerging computer-based instructional technologies: Part 1. Educational Technology Research & Development, 37, 102–114.

    Article  Google Scholar 

  • Ken, S. T. (1981). How teachers design their materials: Implications for instructional design. Instructional Science, 10, 363–378.

    Article  Google Scholar 

  • Kline, P. J., & Dolins, S. B. (1989). Designing expert systems: A guide to selecting implementation techniques. Dallas: Wiley.

    Google Scholar 

  • König, E., & Riedel, H. (1975). Unterrichtskonstruktion I. Weinheim, Germany: Beltz.

    Google Scholar 

  • Leshin, C. B., Pollock, J., & Reigeluth, C. M. (1992). Instructional design strategies and tactics. Englewood Cliffs, NJ: Educational Technology.

    Google Scholar 

  • Li, Z., & Merrill, M. D. (1991). ID Expert 2.0: Design theory and process. Educational Technology Research & Development, 39, 53–69.

    Article  Google Scholar 

  • Merrill, M. D. (1983). Component display theory. In C. M. Reigeluth (Ed.), Instructional design theories and models: An overview of their current status (pp. 279–333). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Merrill, M. D. (1987). An expert system for instructional design. IEEE Expert, 2, 25–37.

    Article  Google Scholar 

  • Merrill, M. D., Li, Z., & Jones, M. (1990). Limitations of first generation instructional design. Educational Technology, 30(1), 7–14.

    Google Scholar 

  • Parker, W. C, & Gehrke, N. J. (1986). Learning activities and teachers’ decision making: Some grounded hypotheses. American Educational Research Journal, 23, 227–242.

    Google Scholar 

  • Pfohl, H. C, & Braun, G. E. (1981). Entscheidungstheorie. Normative und deskriptive Grundlagen des Entscheidens. Landsberg, Germany: Verlag Moderne Industrie.

    Google Scholar 

  • Pirolli, P., & Russell, D. M. (1990). The instructional design environment: Technology to support design problem solving. Instructional Science, 19, 121–144.

    Article  Google Scholar 

  • Reiser, R. A., & Gagné, R. M. (1983). Selecting media for instruction. Englewood Cliffs, NJ: Educational Technology.

    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 (pp. 3–36). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Rowland, G. (1992). What do instructional designers actually do? An initial investigation of expert practice. Performance Improvement Quarterly, 5(2), 65–86.

    Article  MathSciNet  Google Scholar 

  • Rowland, G. (1993). Designing and instructional design. Educational Technology Research and Development, 41, 79–91.

    Article  Google Scholar 

  • Seel, N. M. (1992). The significance of prescriptive decision theory for instructional design expert systems. In S. Dijkstra, H. P. M. Krammer, & J. J. G. vanMerrienboer (Eds.), Instructional models in computer-based learning environments (pp. 61–81). NATO ASI Series F, Vol. 104. Berlin: Springer.

    Google Scholar 

  • Seel, N. M., Eichenwald, L. D, & Penterman, N. F. N. (September, 1993). Decision making as a tool for instructional design. Paper presented at the Fifth Conference of the European Association for Research on Learning and Instruction (EARLI), Aix-en-Provence, France.

    Google Scholar 

  • Seel, N. M., Dinter, F. R., Reiser, R. A. (in press). Decision-making in instructional systems development. In S. Dijkstra, & N. M. Seel (Eds.), Instructional design: International perspectives. Vol. II: Applications-Solving of instructional design problems. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Tennyson, R. D. (1993). Instructional design models and authoring activities. In J. M. Spector, M. C. Poison, & D. J. Muraida (Eds.), Automating instructional design. Concepts and issues (pp. 329–338). Englewood Cliffs, NJ: Educational Technology.

    Google Scholar 

  • Tennyson, R. D., & Breuer, K. (1994). ISD Expert: An automated approach to instructional design. In R. D. Tennyson (Ed.), Automating instructional design, development, and delivery (pp. 139–162). NATO ASI Series F, Vol. 119. Berlin: Springer.

    Chapter  Google Scholar 

  • Turban, E. (1990). Decision support and expert systems: Management support systems. New York: Macmillan.

    Google Scholar 

  • Wagner, E. D., & Kang, J. (February, 1989). Expert systems for media selection: On developing strategies to improve decision making skills. Paper presented at the Association for Educational Communications & Technology, Annual Convention, Dallas, Texas.

    Google Scholar 

  • Wedman, J. F., & Tessmer, M. (1990). The “layers of necessity” ID model. Performance and Instruction, 29,(3), 1–7.

    Article  Google Scholar 

  • Vassileva, J. (1992). Pedagogical decisions within an ITS-shell. Computers in Education, 18, 39–43.

    Article  Google Scholar 

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

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Faculty of Education, Div. Empirical Research on Teaching, Technical University of Dresden, Mommsenstr. 13, D-01026, Dresden, Germany

    Norbert M. Seel

  2. Department of Instructional Technology, University of Twente, P.O. Box 217, 7500, AE Enschede, The Netherlands

    Louise D. Eichenwald & Nora F.N. Penterman

Authors
  1. Norbert M. Seel
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  2. Louise D. Eichenwald
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  3. Nora F.N. Penterman
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Editor information

Editors and Affiliations

  1. Learning and Cognition, Department of Educational Psychology, University of Minnesota, 178 Pillsbury Drive S. E., Minneapolis, MN, 55455, USA

    Robert D. Tennyson

  2. College of Education, EDU208B, University of South Florida, 4202 E. Fowler Ave., Tampa, FL, 33620, USA

    Ann E. Barron

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© 1995 Springer-Verlag Berlin Heidelberg

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Seel, N.M., Eichenwald, L.D., Penterman, N.F. (1995). Automating Decision Support In Instructional System Development: The Case of Delivery Systems. 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_8

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  • DOI: https://doi.org/10.1007/978-3-642-57821-2_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-63366-9

  • Online ISBN: 978-3-642-57821-2

  • eBook Packages: Springer Book Archive

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