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Structuring the subject matter

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 602))

Abstract

The three main paradigms of computer based tutoring systems are computer assisted instruction, hypertext, and intelligent tutoring. Each of these uses a characteristic combination of models and representations for the four instructional architecture components, namely the subject matter, the learner model, the didactic expertise, and the communication interface. A brief survey on these main paradigms emphasizes their subject matter components. These considerations are used to develop a graph based subject matter structuring approach for conceptual as well as for procedural knowledge as the core of a computer based tutoring system architecture.

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References

  1. S.M. Alessi and S.R. Trollip. Computer-based Instruction: Methods and Development. Prentice Hall, Englewood Cliffs, NJ, 1985.

    Google Scholar 

  2. J.R. Anderson. The expert module. In C.M. Polson and J.J. Richardson, editors, Foundations of Intelligent Tutoring Systems, chapter 2, pages 21–53. Lawrence Erlbaum, Hillsdale, New Jersey, 1988.

    Google Scholar 

  3. D.J. Bierman. To be intelligent or not to be intelligent: Is that the question? In Forte [Forte91]., page 25.

    Google Scholar 

  4. R.J. Brachman. On the epistemological status of semantic networks. In Readings in Knowledge Represantation, chapter 10, pages 191–215. Morgan Kaufmann, Los Altos, CL, 1985.

    Google Scholar 

  5. D.A. Carlson and Sudha Ram. Hyperintelligence: The next frontier. Communications of the ACM, 33(3):311–321, 1990.

    Article  Google Scholar 

  6. J. Carbonell. AI in CAI: Artificial intelligence approach to computer-assisted instruction. IEEE Trans. on Man-Machine Systems, 11(4):190–202, 1970.

    Google Scholar 

  7. U. Dumslaff and J. Ebert. Courseware development by concept structuring. In Forte [Forte91], page 115.

    Google Scholar 

  8. U. Dumslaff, J. Ebert, and D. Meyerhoff. Nonlinear plan generation for concept teaching (in german). In R. Gunzenhäuser and H. Mandl, editors, Vierter Workshop der Fachgruppe ”Intelligente Lernsysteme” der Gesellschaft für Informatik, Rauischholzhausen, 1991.

    Google Scholar 

  9. U. Dumslaff and D. Meyerhoff. A tutoring system architecture to support the design process. In H.-J. Bullinger, editor, Proceedings of the 4th International Conference on Human-Computer Interaction, Stuttgart, September 1991. North Holland, Elsevier Science Publishers, Amsterdam, 1991.

    Google Scholar 

  10. R. Elmasri and S.B. Navathe. Fundamentals of Database Systems. Benjamin/Cummings, Redwood City, CL, 1989.

    Google Scholar 

  11. E.N. Forte, editor. CALISCE '91-Proceedings of the International Conference on Computer Aided Learning and Instruction in Science and Engineering. Presses Polytechnique et Universitaires Romandes, Lausanne, 1991.

    Google Scholar 

  12. J.E. Hopcroft and J.D. Ullmann. Introduction to Automata Theory, Languages and Computation. Addison-Wesley, Reading, MA, 1979.

    Google Scholar 

  13. R.J.K. Jacob. A specification language for direct manipulation interfaces. ACM Transactions on Graphics, 5(4):283–317, October 1986.

    Article  Google Scholar 

  14. D.H. Jonassen and H. Mandl, editors. Designing Hypermedia for Learning, volume 67 of F NATO ASI. Springer, Berlin, 1990.

    Google Scholar 

  15. M.D. Merrill and R.D. Tennyson. Teaching Concepts: An Instructional Design Guide. Educational Technology, Englewood Cliffs, NJ, 1977.

    Google Scholar 

  16. J. Nielsen. Hypertext and Hypermedia. Academic Press, San Diego, CA, 1990.

    Google Scholar 

  17. D.R. Peachey and G.I. McCalla. Using planning techniques in intelligent tutoring systems. International Journal of Man-Machine Studies, 24:77–98, 1986.

    Google Scholar 

  18. B.F. Skinner. Teaching machines. Science, 128:269–277, 1958.

    Google Scholar 

  19. F. Spensley. Dominie: Trainer interface. CITE Report 44, Institute of Educational Technology, The Open University, Milton Keynes, July 1988.

    Google Scholar 

  20. K. VanLehn and J.S. Brown. Planning nets: A representation for formalizing analogies and semantic models of procedural skills. In R. Snow, P.A. Federico, and W. Montague, editors, Aptitude, Learning, and Instruction: Vol.2. Cognitive Process Analysis of Learning and Problem Solving, volume 2, chapter 18, pages 95–137. Lawrence Erlbaum, Hillsdale, NJ, 1980.

    Google Scholar 

  21. E. Wenger. Artificial Intelligence and Tutoring Systems. Morgan Kaufmann, Los Altos, California, 1987.

    Google Scholar 

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Ivan Tomek

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© 1992 Springer-Verlag Berlin Heidelberg

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Dumslaff, U., Ebert, J. (1992). Structuring the subject matter. In: Tomek, I. (eds) Computer Assisted Learning. ICCAL 1992. Lecture Notes in Computer Science, vol 602. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-55578-1_67

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  • DOI: https://doi.org/10.1007/3-540-55578-1_67

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55578-0

  • Online ISBN: 978-3-540-47221-6

  • eBook Packages: Springer Book Archive

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