Abstract
The applicability of current research methods in artificial intelligence to computer-aided instruction is considered. The most promising contributions to the design of systems able to carry on human-like dialogue should be expected from semantic networks and theorem-proving techniques. General problem-solving methods — such as the state-space method or the problem-reduction method — can be applied to problem generation, selection, and solving.
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Literatur
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Laubsch, J.H. (1974). Artificial intelligence methoden im CUU. In: Brunnstein, K., Haefner, K., Händler, W. (eds) Rechner-Gestützter Unterricht. RGU 1974. Lecture Notes in Computer Science, vol 17. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-06907-0_98
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DOI: https://doi.org/10.1007/3-540-06907-0_98
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