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Emerging technologies, ISD, and learning environments: Critical perspectives

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Abstract

During the past three decades, interest in computer-based instruction (CBI) has grown dramatically. Enhanced power, increased availability of peripheral devices, and developments in hypermedia have created extraordinary capabilities. At the same time, there have been significant, though largely unexploited, advances in research, theory, and practice. Collectively, these advances offer the potential to redefine learner-computer interaction. A rationale for, and description of, computer-mediated learning environments—multifaceted, integrated systems that promote learning through student-centered activities—are presented in this article.

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References

  • Andrews, D., & Goodson, L. (1980). A comparative analysis of models of instructional design.Journal of Instructional Development, 3, 2–16.

    Google Scholar 

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

    Google Scholar 

  • Bereiter, C. (1991). Implications of connectionism for thinking about rules.Educational Researcher, 20(3), 2–9.

    Google Scholar 

  • Berliner, D. (November, 1990).Expertise in pedagogy: Implications for reform. Paper presented at the Dean's Seminar Series, Florida State University, Tallahassee, FL.

  • Bransford, J., Franks, J., Vye, N., & Sherwood, R. (1989). New approaches to instruction: Because wisdom can't be told. In S. Vosniadou and A. Ortony (Eds.),Similarity and analogical reasoning. New York: Cambridge University Press.

    Google Scholar 

  • Brown, J. S. (1985). Process versus product: A perspective on tools for communal and informal electronic learning.Journal of Educational Computing Research, 1, 179–201.

    Google Scholar 

  • Brown, J. S. (1989). Toward a new epistemology for learning. In C. Frasson & J. Gauthiar (Eds.),Intelligent tutoring systems at the crossroad of AI and education. Norwood, NJ: Ablex.

    Google Scholar 

  • Brown, J. S., Collins, A., & Duguid, P. (1989). Situated cognition and the culture of learning.Educational Researcher, 18(1), 32–41.

    Google Scholar 

  • Carroll, J. (1990).The Nurnberg Funnel: Designing minimalist instruction for practical computer skill. Cambridge, MA: MIT Press.

    Google Scholar 

  • Cognition and Technology Group at Vanderbilt (1990). Anchored instruction and its relationship to situated cognition.Educational Researcher, 19(6), 2–10.

    Google Scholar 

  • Cognition and Technology Group at Vanderbilt (1991). Technology and the design of generative learning environments.Educational Technology, 31(5), 34–40.

    Google Scholar 

  • DeVito, A., & Krockover, G. (1980a).Creative sciencing: A practical approach (2nd ed.). Boston: Little, Brown.

    Google Scholar 

  • DeVito, A., & Krockover, G. (1980b).Creative sciencing: Ideas and activities for teachers and children (2nd ed.). Boston: Little, Brown.

    Google Scholar 

  • Dewey, J. (1933).How we think. Boston: Health.

    Google Scholar 

  • Dick, W. (1991). An instructional designer's view of constructivism.Educational Technology, 31(5), 41–44.

    Google Scholar 

  • diSessa, A. (1982). Unlearning Aristotelian physics: A study of knowledge-based learning.Cognitive Science, 6, 37–75.

    Article  Google Scholar 

  • diSessa, A., & White, B. (1982). Learning physics from a dynaturtle.Byte, 7, 324.

    Google Scholar 

  • Duchastel, P. (1990). Assimilatory tools for informal learning: Prospects for ICAI.Instructional Science, 19, 3–9.

    Google Scholar 

  • Duffy, T., & Jonassen, D. (1991). Constructivism: New implications for instructional technology?Educational Technology, 31(5), 7–12.

    Google Scholar 

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

    Google Scholar 

  • Gagné, R., & Merrill, M.D. (1990). Integrative goals for instructional design.Educational Technology Research and Development, 38, 23–30.

    Google Scholar 

  • Gustafson, K. (1991).Survey of ID models (2nd ed.). Syracuse, NY: ERIC Clearinghouse of Information Resources.

    Google Scholar 

  • Hannafin, M. J. (1988). The effects of instructional explicitness of learning error persistence.Contemporary Educational Psychology, 13, 126–132.

    Article  Google Scholar 

  • Hannafin, M. J. (1989). Interaction strategies and emerging instructional technologies: Psychological perspectives.Canadian Journal of Educational Communication, 18, 167–179.

    Google Scholar 

  • Hannafin, M. J., & Gall, J. (1990, October).Emerging instructional technologies and learning environments: From instruction- to learner-centered models. Paper presented at the annual meeting of the Association for the Development of Computer-Based Instructional Systems, San Diego, CA.

  • Hannafin, M. J., & Rieber, L. P. (1989a). Psychological foundations of instructional design for emerging computer-based instructional technologies: Part I.Educational Technology Research and Development, 37, 91–101.

    Google Scholar 

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

    Google Scholar 

  • Harless, W. (1986). An interactive videodisc drama: The case of Frank Hall.Journal of Computer-Based Instruction, 13, 113–116.

    Google Scholar 

  • Hooper, S., & Hannafin, M. J. (1991). Psychological perspectives on emerging instructional technologies: A critical analysis.Educational Psychologist, 26, 69–95.

    Article  Google Scholar 

  • Johnsen, J., & Taylor, W. (1991). Instructional technology and unforeseen value conflicts: Toward a critique. In G. Anglin (Ed.),Instructional technology: Past, present, and future. Englewood, CO: Libraries Unlimited.

    Google Scholar 

  • Johnson, D., & Johnson, R. (1986). Computer-assisted cooperative learning.Educational Technology, 26, 12–18.

    Google Scholar 

  • Jonassen, D. (1986). Hypertext principles for course-ware design.Educational Psychologist, 21, 269–292.

    Article  Google Scholar 

  • Jonassen, D. (1988). Designing structured hypertext and structuring access to hypertext.Educational Technology, 28(11), 13–16.

    Google Scholar 

  • Jonassen, D. (1991). Hypertext as instructional design.Educational Technology Research and Development, 39, 83–92.

    Google Scholar 

  • Kember, D., & Murphy, D. (1990). Alternative new directions for instructional design.Educational Technology, 30(8), 42–47.

    Google Scholar 

  • Kinzie, M., & Berdel, R. (1990). Design and use of hypermedia systems.Educational Technology Research and Development, 38, 61–68.

    Google Scholar 

  • Lawler, R., & Yazdani, M., Eds. (1987).Artificial intelligence and education: Volume I. Norwood, NJ: Ablex.

    Google Scholar 

  • Levin, J., & Waugh, M. (1987). Educational simulations, tools, games, and microworlds: Computer-based environments for learning.International Journal of Educational Research, 12(1), 71–79.

    Google Scholar 

  • Litchfield, B. (1990). Science Quest: A multimedia inquiry based videodisc science curriculum.Instruction Delivery System, 4(3), 12–17.

    Google Scholar 

  • Marchionini, G. (1988). Hypermedia and learning: Freedom and chaos.Educational Technology, 28(1), 8–12.

    Google Scholar 

  • McDermott, L. (1984). Research on conceptual understanding in mechanics.Physics Today, 37, 24–32.

    Google Scholar 

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

    Google Scholar 

  • Merrill, M. D., Li, Z., & Jones, M. (1990b). The second generation instructional design research program.Educational Technology, 30(3), 26–31.

    Google Scholar 

  • Merrill, M. D., Li, Z., & Jones, M. (1990c). ID2 and constructivist theory.Educational Technology, 30(12), 52–55.

    Google Scholar 

  • Ohlsson, S. (1987). Some principles of intelligent tutoring. In R. Lawler & M. Yazdani (Eds.),Artificial intelligence and education: Volume I. Norwood, NJ: Ablex.

    Google Scholar 

  • Papert, S. (1980).Mindstorms. New York: Basic Books.

    Google Scholar 

  • Paris, S., & Byrnes, J. (1989). The constructivist approach to self-regulation and learning in the classroom. In Zimmerman and Schunk (Eds.),Self-regulated learning and academic theory, research, and practice (pp. 169–199). New York: Springer-Verlag.

    Google Scholar 

  • Perkins, D. (1991). Technology meets constructivism: Do they make a marriage?Educational Technology, 31(5), 18–23.

    Google Scholar 

  • Perkins, D., & Simmons, R. (1988). Patterns of mis-understanding: An integrative model for science, math, and programming.Review of Educational Research, 58, 303–326.

    Google Scholar 

  • Salomon, G., & Perkins, D. (1989). Rocky roads to transfer: Rethinking mechanisms of a neglected phenomenon.Educational Psychologist, 24, 111–142.

    Article  Google Scholar 

  • Salomon, G., Perkins, D., & Globerson, T. (1991). Partners in cognition: Extending human intelligence with intelligent technologies.Educational Researcher, 29(3), 2–9.

    Google Scholar 

  • Scardamalia, M., Bereiter, C., McLean, R., Swallow, J., & Woodruff, E. (1989). Computer-supported intentional learning environments.Journal of Educational Computing Research, 5, 51–68.

    Google Scholar 

  • Schiffman, S. (1991). Instructional systems design: Five views from the field. In G. Anglin (Ed.),Instructional technology: Past, present, and future. Englewood, CO: Libraries Unlimited.

    Google Scholar 

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

    Google Scholar 

  • Schwartz, J., & Yerulshamy, M. (1987). The “Geometric Supposer”: Using microcomputers to restore invention to the learning of mathematics. In D. Perkins, J. Lochhead, & J. Bishop (Eds.),Thinking: Proceedings of the second international conference (pp. 525–536). Hillsdale, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Spiro, R., Coulson, R., Feltovich, P., & Anderson, D. (1988). Cognitive flexibility theory: Advanced knowledge acquisition in ill-structured domains. InTenth Annual Conference of the Cognitive Science Society (pp. 375–383). Hillsdale, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Spiro, R. J., Feltovich, P. L., Jacobson, M. J., & Coulson, R. L. (1991). Cognitive flexibility, constructivism, and hypertext: Random access instruction for advanced knowledge acquisition in ill-structured domains.Educational Technology, 31(5), 24–33.

    Google Scholar 

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

    Google Scholar 

  • Steinberg, E. (1989). Cognition and learner control: A literature review, 1977–1988.Journal of Computer-Based Instruction, 16, 117–121.

    Google Scholar 

  • Streibel, M. (1988). Instructional plans and situated learning: The challenge of Suchman's theory of situated action for instructional designers and instructional systems.Journal of Visual Literacy, 9(2), 8–34.

    Google Scholar 

  • Streibel, M., Stewart, J., Koedinger, K., Collins, A., & Jungck, J. (1987).Mendel: An intelligent computer tutoring system for genetics problem solving, conjecturing, and understanding.Machine-Mediated Learning, 2(1&2), 129–159.

    Google Scholar 

  • Vygotsky, L. (1978).Mind in society: The development of higher psychological processes. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • West, C., Farmer, J., & Wolff, P. (1991).Instructional design: Implications from cognitive science. Englewood Cliffs, NJ: Prentice Hall.

    Google Scholar 

  • Yackel, E., Cobb, P., Wood, T., Wheatley, G., & Merkel, G. (1990). The importance of social interactions in children's construction of mathematical knowledge. In T. Cooney (Ed.),1990 Yearbook of the National Council of Teachers of Mathematics. Reston, VA: NCTM.

    Google Scholar 

  • Yankelovich, N., Haan, B., Meyrowitz, N., & Drucker, S. (1988). Intermedia: The concept and the construction of a seamless information environment.Computer, 21(1), 81–96.

    Article  Google Scholar 

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Hannafin, M.J. Emerging technologies, ISD, and learning environments: Critical perspectives. ETR&D 40, 49–63 (1992). https://doi.org/10.1007/BF02296706

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