Abstract
The teaching strategies for CAI systems are implicitly expressed in a branching network compared with those for ICAI systems which are represented explicitly and held separately from other components in the system such as the subject knowledge base. As such, they are open to investigation and criticism. In this paper I examine current perspectives on teaching strategies and critically review them. It has been suggested that teaching strategies are excessively ad hoc and the remedy lies in the construction of better theories of learning. I argue that other measures, e.g. utilising teaching models and providing systematic teaching strategies and tactics based on them would be more beneficial. A proposed solution to the teaching strategy problem is presented and related to the long-term objective to provide better theories of learning.
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References
Anderson, J. R. (1983) The Architecture of Cognition, Harvard University Press, Cambridge, MA.
Anderson, J. R., Boyle, C. F., & Yost, G. (1985) The geometry tutor. Proceedings of the 9th IJCAI. 1, 1–7.
Bonar, J. & Cunningham, R. (1986) Bridge: an intelligent tutor for thinking about programming. Presented at the ICAI Research Workshop, Windermere.
Brown, J. S., Burton, R. R. & de Kleer, J. (1982) Pedagogical, natural language and knowledge engineering techniques in SOPHIE I,II & III In: Intelligent Tutoring Systems. (eds. D. Sleeman & J. S. Brown) Academic Press, New York.
Burton, R. R. (1982) Diagnosing bugs in a simple procedural skill. In: Intelligent Tutoring Systems. (eds D. Sleeman & J. S. Brown) Academic Press, New York.
Davies, N., Dickens, S. & Ford, L. (1985) TUTOR — a prototype ICAI system. In: Research Directions in Intelligent Knowledge-Based Systems. (ed. M. Bramer) Cambridge University Press, Cambridge.
Johnson, W. L. & Soloway, E. (1985) PROUST: an automatic debugger for Pascal Programs. Byte, 10 179–190.
Ohlsson, S. (1986) Some principles of intelligent tutoring. Instructional Science, 14, 293–326. Elsevier Science.
Peachey, D. R. & McCalla, G. I. (1986) Using planning techniques in intelligent tutoring systems. International Journal of Man-Machine Studies, 24, 77–98.
Reigeluth, C. (1983) Meaningfulness and instruction: relating what is being learned to what a student knows. Instructional Science. 12, 197–218.
Reiser, A. J., Anderson, J. R. & Farrell, R. G. (1983) Dynamic student modelling in an intelligent tutor for LISP programming. Proceedings of the 9th IJCAL, 1, 8–14.
Self, J. A. (1986) The application of machine learning to student modelling. Instructional Science, 14, 327–338.
Shuell, T. (1980) Learning theory, instructional theory, and adaptation. In: Aptitude, Learning and Instruction, (eds R. Snow, P. Federico & W. Montague) Vol. 2. Lawrence Erlbaum Associates, New York.
Sleeman, D. & Brown, J. S. (1982) Introduction. In: Intelligent Tutoring Systems (eds D. Sleeman & J. S. Brown) Academic Press, New York.
Stevens, A., Collins, A. & Goldin, S. E. (1982) Misconceptions in students' understanding. In: Intelligent Tutoring Systems. (eds D. Sleeman & J. S. Brown) Academic Press, New York.
Taba, H. (1967) Teacher's Handbook for Elementary Social Studies. Addison-Wesley, New York.
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Ford, L. Teaching strategies and tactics in intelligent computer aided instruction. Artif Intell Rev 1, 201–215 (1987). https://doi.org/10.1007/BF00142292
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DOI: https://doi.org/10.1007/BF00142292