Skip to main content
Log in

A multidisciplinary model for development of intelligent computer-assisted instruction

  • Instructional Development
  • Published:
Educational Technology Research and Development Aims and scope Submit manuscript

Abstract

Development of an intelligent computer-assisted instructional (ICAI) system requires a multidisciplinary team effort. A schematic model is proposed to help ICAI developers identify the types of required expertise and integrate them into a system. Three types of expertise are discussed in the model: (a) domain expertise, (b) domain engineering expertise, (c) and instructional expertise. Domain expertise is classified into two types: conceptual knowledge and performance (procedural) expertise. Specific knowledge representation methods are proposed to represent the two types of domain—semantic network for conceptual knowledge and production rules for procedural knowledge—and frames-scripts for the combined domain of the two types. For domain engineering expertise, three technical methods are discussed: knowledge acquisition, task analysis, and knowledge representation. For instructional expertise, conceptual issues and technical methods to model student learning and to select instructional strategies are discussed. A multidisciplinary cooperative effort is reemphasized in the conclusion.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Barr, A., & Feigenbaum, E. A. (1981).The handbook of artificial intelligence, Vol. 1. Los Altos, CA: William Kaufman.

    Google Scholar 

  • Brown, J. S., & Burton, R. R. (1978). Diagnostic models for procedural bugs in basic mathematical skills.Cognitive Science, 2, 155–192.

    Article  Google Scholar 

  • Burton, R. R., & Brown, J. S. (1982). An investigation of computer coaching for informal learning activities. In D. Sleeman and J. S. Brown (Eds.),Intelligent tutoring systems. New York: Academic Press.

    Google Scholar 

  • Card, S. K., Moran, T. P., & Newell, A. (1983).The psychology of human-computer interaction. Hillsdale, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Carr, B., & Goldstein, I. P. (1977). Overlays: A theory of modeling for computer aided instruction. InArtificial intelligence laboratory memo 406, Massachusetts Institute of Technology.

  • Christopher, K. K., & D'Onofrio, T. W. (1987).Knowledge acquisition from experts. Paper presented at ROBEXS Conference.

  • Clancey, W. J. (1979). Tutoring rules for guiding a case method dialogue.International Journal of Man-Machine Studies, 11, 25–49.

    Google Scholar 

  • Collins, A., & Stevens, A. L. (1983). Goals and strategies of effective teachers. In R. Glaser (Ed.),Advances in instructional psychology, Vol. II. Hillsdale, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Cronbach, L. J., & Snow, R. E. (1977).Aptitude and instructional methods: A handbook for research on interactions. New York: Irvington Press.

    Google Scholar 

  • Davis, R., & Lenat, D. (1980).Knowledge-based systems in artificial intelligence. New York: McGraw-Hill.

    Google Scholar 

  • Dick, W., & Carey, L. (1978).The systematic design of instruction. Glenview, IL: Scott, Foresman.

    Google Scholar 

  • Duda, R. O., & Gaschnig, J. G. (1981). Knowledge-based expert systems coming age.BYTE, 6, 238–281.

    Google Scholar 

  • Duda, R. O., & Shortliffe, E. H. (1983). Expert systems research.Science, 220, 261–268.

    Google Scholar 

  • Ericsson, K. A., & Simon, H. A. (1980). Verbal reports as data.Psychological Review, 87, 215–250.

    Google Scholar 

  • Ericsson, K. A., & Simon, H. A. (1984).Protocol analysis: Verbal reports as data. Cambridge, MA: MIT Press.

    Google Scholar 

  • Fleishman, E. A., & Quaintance, M. (1984).Taxonomies of human performance. New York: Academic Press.

    Google Scholar 

  • Gagné, R. M. (1985).The conditions of learning and the theory of instruction (4th ed.). New York: Holt, Rinehart and Winston.

    Google Scholar 

  • Gagné, R. M., & Briggs, L. J. (1979).Principles of instructional design (2nd ed.). New York: Holt, Rinehart and Winston.

    Google Scholar 

  • Hoffman, R. R. (1987, Summer). The problem of extracting the knowledge of experts from the perspective of experimental psychology.The AI Magazine, 53–67.

  • IntelliCorp. (1986).KEE: Software Development System (Version 3.0), User manual. Mountain View, CA.

  • O'Neil, H. F., Jr. (1978).Learning strategies. New York: Academic Press.

    Google Scholar 

  • O'Shea, T. (1982). A self-improving quadratic tutor. In D. Sleeman and J. S. Brown (Eds.),Intelligent tutoring systems. New York: Academic Press.

    Google Scholar 

  • Park, O. (1983a). Adaptive CBI model: Aptitude-matched and response-sensitive approaches.Journal of Computer-Based Instruction, 9, 245–255.

    Google Scholar 

  • Park, O. (1983b).Instructional strategies: A hypothetical taxonomy (Technical Report TR-1983-3). Minneapolis, MN: Control Data Corporation.

    Google Scholar 

  • Park, O., Perez, R. S., & Seidel, R. J. (1987). Intelligent CAI: Old wine in new bottles or a new vintage? In G. P. Kearsley (Ed.),Artificial intelligence: Applications and methodology. Redding, MA: Addison-Wesley.

    Google Scholar 

  • Pressley, M., & Levin, J. R. (1983).Cognitive strategy research: Psychological foundation. New York: Spring Verlag.

    Google Scholar 

  • Reigeluth, C. M. (1983).Instructional design theories and models: An overview of their current status. Hillsdale, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Reigeluth, C. M. (1987).Instructional theories in action: Lessons illustrating selected theories and models. Hillsdale, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Reiser, B. J., Anderson, J. R., & Farrell, R. G. (1985). Dynamic student modeling in an intelligent tutor for LISP programming. InProceedings of IJCAI-85. Los Angeles, CA: IJCAI.

    Google Scholar 

  • Seidel, R. J., Park, O., & Perez, R. S. (1988). Expertise of ICAI: Development requirements.Computers in Human Behavior, 4, 235–256.

    Article  Google Scholar 

  • Sleeman, D. H. (1982). Assessing aspects of competence in basic algebra. In D. H. Sleeman and J. S. Brown (Eds.),Intelligent tutoring systems. New York: Academic Press.

    Google Scholar 

  • Soloway, E., & VanLehn, K. (1987). Artificial intelligence and education. InAn introduction to artificial intelligence (AI Training Manual). McLean, VA: Smart Systems Technology.

    Google Scholar 

  • Stevens, A. L., Collins, A., & Goldin, S. (1979). Misconceptions in students' understanding.International Journal of Man-Machine Studies, 11, 145–156.

    Google Scholar 

  • Suppes, P. (1984). Observations about the application of artificial intelligence research to education. In D. F. Walker and R. D. Hees (Eds.),Instructional software. Belmont, CA: Wadsworth.

    Google Scholar 

  • VanLehn, K. (in press). Learning one subprocedure per lesson.Artificial Intelligence.

  • White, B. Y., & Frederiksen, J. R. (1985). QUEST: Qualitative understanding of electronic system troubleshooting.ACM SIGART Newsletter.

  • White, B. Y., & Frederiksen, J. R. (1986). Intelligent tutoring systems based upon qualitative model evolutions. InProceedings of AAAI-86: The National Conference on Artificial Intelligence.

  • Yaghmai, N. S., & Maxin, J. A. (1984). Expert systems: A tutorial.Journal of the American Society for Information Science, 35, 306–316.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

The opinions expressed herein are those of the authors and do not express or imply the views of the U.S. Army Research Institute or the Department of Defense.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Park, Oc., Seidel, R.J. A multidisciplinary model for development of intelligent computer-assisted instruction. ETR&D 37, 72–80 (1989). https://doi.org/10.1007/BF02299059

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02299059

Keywords

Navigation