Abstract
DESCRIBED IS THE PROCESS OF ENCODING TUTORING KNOWLEDGE in a knowledge-based tutor, and the tools that facilitate identifying the tutoring knowledge and the process of representing it.Knowledge representation is explained in terms of modelling domain knowledge, human thinking, learning processes, and tutoring strategies. A uniform language is proposed for storing tutoring primitives, including lessons, topics, and presentations.Knowledge acquisition is described as a methodology for identifying and encoding the expertise used by teachers to reason about tutoring.Control knowledge is explained in terms of the machine’s ability to select a topic or response for an individual student and then customize its discourse and dynamically modify its examples, questions, or descriptions for that student.
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Woolf, B. Tools for building knowledge-based tutors. J. Comput. High. Educ. 2, 103–129 (1990). https://doi.org/10.1007/BF02941584
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DOI: https://doi.org/10.1007/BF02941584