Abstract
This article describes a basic development model for an intelligent tutoring system (ITS): the interface, the student model, the expert model, and the pedagogical model. Because ITSs are a byproduct of research in cognitive science, we use this model to illustrate the possibilities for more extensive integration of cognitive learning theories into computer-based instruction (CBI). Two examples of CBI designed from this perspective are included to illustrate the possibilities of the model and to suggest that the dichotomy between CBI and ITSs need not be perpetuated.
Similar content being viewed by others
References
Alessi, S. M., & Trollip, S. R. (1991).Computer-based instruction: Methods and development (2nd ed.). Englewood Cliffs, NJ: Prentice-Hall.
Anderson, J. R. (1988). The expert model. In M. Polson & J. Richardson (Eds.),Foundations of intelligent tutoring systems (pp. 21–53). Hillsdale, NJ: Lawrence Erlbaum.
Anderson, J. R., Boyle, C. F., & Reiser, B. J. (1985). Intelligent tutoring systems.Science, 228, 456–462.
Anderson, J. R., & Reiser, B. J. (1985). The lisp tutor.Byte, 10(4), 159–175.
Bransford, J., Sherwood, R., Hasselbring, T., Kinzer, C., & Williams, S. (1991). Anchored instruction: Why we need it and how technology can help. In D. Nix & R. Spiro (Eds.),Cognition, education and multimedia (pp. 115–141). Hillsdale, NJ: Lawrence Erlbaum.
Brown, A. L. (1975). The development of memory: Knowing, knowing about knowing, and knowing how to know. In H. W. Reese (Ed.),Advances in child development and behavior (Vol. 10). New York: Academic Press.
Brown, J. S., & Burton, R. R. (1978). Diagnostic models for procedural bugs in basic mathematical skills.Cognitive Science, 2, 155–192.
Brown, J. S., Collins, A., & Duguid, P. (1989). Situated cognition and the culture of learning.Educational Researcher, 18(1), 32–42.
Burton, R. R. (1982). Diagnosing bugs in a simple procedural skill. In D. Sleeman & J. S. Brown (Eds.),Intelligent tutoring systems (pp. 157–183). New York: Academic Press.
Card, S. K., Moran, T. P., & Newell, A. (1983).The psychology of human-computer interaction. Hillsdale, NJ: Lawrence Erlbaum.
Carbonell, J. R. (1970). Artificial intelligence in CAI: An artificial intelligence approach to computer-assisted instruction.IEEE Transactions on Man-Machine Systems, 11, 19–22.
Carroll, J. M., & Mack, R. L. (1985). Metaphor, computing systems, and active learning.International Journal of Man-Machine Studies, 22, 39–57.
Clancey, W. J. (1984). Methodology for building an intelligent tutoring system. In W. Kintsch, J. R. Miller, & P. G. Polson (Eds.),Method and tactics in cognitive science (pp. 51–83). Hillsdale, NJ: Lawrence Erlbaum.
Ericsson, K. A., & Simon, H. A. (1984).Protocol analysis: Verbal reports as data. Cambridge, MA: MIT Press.
Frye, D., Littman, D. C., & Solloway, E. (1988). The next wave of problems in ITS: Confronting the “user issues” of interface design and system evaluation. In J. Psotka, L. D. Massey, & S. A. Mutter (Eds.),Intelligent tutoring systems: Lessons learned (pp. 451–478). Hillsdale, NJ: Lawrence Erlbaum.
Gagné, R. M., Briggs, L. J., & Wager, W. W. (1992).Principles of instructional design (4th ed.). New York: Harcourt, Brace, Jovanovich.
Gardner, H. (1985).The mind's new science. New York: Basic Books.
Genesereth, M. R. (1982). The role of plans in intelligent teaching systems. In D. Sleeman & J. S. Brown (Eds.),Intelligent tutoring systems (pp. 137–155). New York: Academic Press.
Glaser, R. (1990). The reemergence of learning theory within instructional research.American Psychologist, 45(1), 29–39.
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(2), 91–101.
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(2), 102–114.
Hartley, J. R., & Sleeman, D. H. (1973). Towards intelligent teaching systems.International Journal of Man-Machine Studies, 5, 215–236.
Hayes-Roth, B., & Thorndyke, P. W. (1985). Paradigms for intelligent systems.Educational Psychologist, 20(4), 231–241.
Jay, T. B. (1983). The cognitive approach to computer courseware design and evaluation.Educational Technology, 23(1), 22–26.
Jonassen, D. H. (Ed.). (1988).Instructional designs for microcomputer courseware. Hillsdale, NJ: Lawrence Erlbaum.
Leinhardt, G., & Ohlsson, S. (1990). Tutorials on the structure of tutoring from teachers.Journal of Artificial Intelligence in Education, 2(1), 21–46.
Linn, M. C., & Clancey, M. J. (1990). Designing instruction to take advantage of recent advances in understanding cognition.Academic Computing, 4(7), 20–23.
Loser, M., & Kurtz, B. (1989). Quadratic Grapher: An intelligent tutoring system for graphing quadratic equations. In H. Maurer (Ed.),Computer assisted learning: Proceedings of the 2nd International Conference on Computer Assisted Learning (pp. 346–358). Berlin: Springer-Verlag.
Low, W. C. (1981). Changes in instructional development: The aftermath of an information processing takeover in psychology.Journal of Instructional Development, 4(2), 10–18.
Mayer, R. E. (1989). Models for understanding.Review of Educational Research, 59(1), 43–64.
McGraw, K. L. (1989). Knowledge acquisition for intelligent instructional systems.Journal of Artificial Intelligence in Education, 1(1), 11–26.
Means, B., & Gott, S. P. (1988). Cognitive task analysis as a basis for tutor development: Articulating abstract knowledge representations. In J. Psotka, L. Massey, & S. Mutter (Eds.),Intelligent tutoring systems: Lessons learned (pp. 35–57). Hillsdale, NJ: Lawrence Erlbaum.
Merrill, D. C., Reiser, B. J., & Landes, S. (1992, April).Human tutoring: Pedagogical strategies and learning outcomes. Paper presented at the annual meeting of the American Educational Research Association, San Francisco.
Merrill, M. D., Li, Z., & Jones, M. K. (1990a). Limitations of first generation instructional design.Educational Technology, 30(1), 7–11.
Merrill, M. D., Li, Z., & Jones, M. K. (1990b). Second generation instructional design.Educational Technology, 30(2), 7–14.
Nelson, W. A. (1989). Artificial intelligence knowledge acquisition techniques for instructional development.Educational Technology Research and Development, 37(3), 81–94.
Nelson, W. A., & Md.-Yusof, S. (1991). Intelligent tutoring with Hypertalk: Who needs Lisp orProlog? In D. Dalton (Ed.),Proceedings of the 33rd International Conference of the Association for the Development of Computer-Based Instructional Systems. Columbus, OH: ADCIS International.
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.
Norman, D. A., & Draper, S. W. (Eds.). (1986).User centered system design. Hillsdale, NJ: Lawrence Erlbaum.
Novak, J. D. (1990). Concept maps and Vee diagrams: Two metacognitive tools to facilitate meaningful learning.Instructional Science, 19, 29–52.
Ohlsson, S. (1987). Some principles of intelligent tutoring. In R. W. Lawler & M. Yazdani (Eds.),Artificial intelligence and education (Vol. 1). Norwood, NJ: Ablex.
Ohlsson, S. (1991). System hacking meets learning theory: Reflections on the goals and standards of research in artificial intelligence and education.Journal of Artificial Intelligence and Education, 2(3), 5–18.
Orey, M. A. (1985).Geometric area. Unpublished computer program.
Orey, M. A., & Burton, J. K. (1990).Posit: Process oriented subtraction-interface for tutoring.Journal of Artificial Intelligence in Education, 1(2), 77–105.
Park, O., Perez, R. S., & Seidel, R. J. (1987). Intelligent CAI: Old wine in new bottles, or a new vintage? In G. Kearsley (Ed.),Artificial intelligence & instruction: Applications and methods. Reading, MA: Addison Wesley.
Park, O., & Seidel, R. J. (1989). A multidisciplinary model for development of intelligent computer-assisted instruction.Educational Technology Research and Development, 37(3), 72–80.
Psotka, J., Massey, L. D., & Mutter, S. A. (1988). Introduction. In J. Psotka, L. D. Massey, & S. A. Mutter (Eds.),Intelligent tutoring systems: Lessons learned (pp. 1–14). Hillsdale, NJ: Lawrence Erlbaum.
Salomon, G. (1985). Information technologies: What you see is not (always) what you get.Educational Psychologist, 20(4), 207–216.
Shneiderman, B. (1987).Designing the user interface: Strategies for effective human-computer interaction. Reading, MA: Addison-Wesley.
Spiro, R. J., & Jehng, J. C. (1991). Cognitive flexibility and hypertext: Theory and technology for the nonlinear and multidimensional traversal of complex subject matter. In D. Nix and R. Spiro (Eds.),Cognition, education and multimedia. Hillsdale, NJ: Lawrence Erlbaum.
Steinberg, E. R. (1989). Cognition and learner control: A literature review, 1977–1988.Journal of Computer-Based Instruction, 16(4), 117–121.
Steuck, K. (1992, April).The initial evaluation of an intelligent tutoring system for pre-algebra word problems. Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.
Stewart, J., Van Kirk, J., & Rowell, R. (1979). Concept maps: A tool for use in biology teaching.American Biology Teacher, 41(3), 171–175.
Tenney, Y. J., & Kurland, L. C. (1988). The development of troubleshooting expertise in radar mechanics. In J. Psotka, L. Massey, & S. Mutter (Eds.),Intelligent tutoring systems: Lessons learned (pp. 59–83). Hillsdale, NJ: Lawrence Erlbaum.
Tennyson, R. D., & Christensen, D. L. (1988).Mais: An intelligent learning system. In D. Jonassen (Ed.),Instructional designs for microcomputer courseware (pp. 247–274). Hillsdale, NJ: Lawrence Erlbaum.
Tennyson, R. D., Christensen, D. L., & Park, O. K. (1984). The Minnesota adaptive instructional system: An intelligent CBI system.Journal of Computer-Based Instruction, 11, 2–13.
Van Lehn, K. (1988). Student modeling. In M. Polson & J. Richardson (Eds.),Foundations of intelligent tutoring systems (pp. 55–78). Hillsdale, NJ: Lawrence Erlbaum.
Wenger, E. (1987).Artificial intelligence and tutoring systems. Los Altos, CA: Morgan Kaufmann.
Wertheimer, M. (1959).Productive thinking. New York: Harper & Row.
White, B. Y., & Fredericksen, J. R. (1990). Causal model progressions as a foundation for intelligent learning environments.Artificial Intelligence, 42(1), 99–157.
Wildman, T. M., & Burton, J. K. (1981). Integrating learning theory with instructional design.Journal of Instructional Development, 4(3), 5–14.
Wilson, B. G., & Jonassen, D. H. (1990/91). Automated instructional systems design: A review of prototype systems.Journal of Artificial Intelligence in Education, 2(2), 17–30.
Winn, W. (1988, January).The theoretical foundations of educational technology and future directions for the field. Paper presented at the annual meeting of the Association for Educational Communications and Technology, New Orleans.
Winn, W. (1989). Toward a rationale and theoretical basis for educational technology.Educational Technology Research and Development, 37(1), 35–46.
Winne, P. H. (1989). Theories of instruction and of intelligence for designing artificially intelligent tutoring systems.Educational Psychologist, 24(3), 229–259.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Orey, M.A., Nelson, W.A. Development principles for intelligent tutoring systems: Integrating cognitive theory into the development of computer-based instruction. ETR&D 41, 59–72 (1993). https://doi.org/10.1007/BF02297092
Issue Date:
DOI: https://doi.org/10.1007/BF02297092