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Journal Articles International Journal of Artificial Intelligence in Education Year : 2000

Using Case-Based Reasoning in Instructional Planning.Towards a Hybrid Self-improving Instructional Planner

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Abstract

This paper presents a new approach, based on the Case-Based Reasoning technique, which is useful to enhance Intelligent Tutoring Systems with learning abilities. Case-Based Reasoning is a recent paradigm for problem solving that has an inherent learning capability. So we integrate a Case-Based Instructional Planner within existing Intelligent Tutoring Systems (ITS) to enhance the pedagogical component with learning capabilities. In this way, the enhanced tutors combine the Case-Based Instructional Planner with a more conventional one in order to obtain a robust hybrid instructional planner. Thus, the resulting ITSs become self-improving systems that exhibit two kinds of learning: learning from memorisation and learning from their own experiences. In this paper a framework for developing case-based instructional planners together with a hybrid approach for connecting such planners to existing ITSs are presented. The methodology to perform that integration is also described. Finally, the results of the formative evaluation of a hybrid self-improving instructional planner using simulated students are pointed out. (http://aied.inf.ed.ac.uk/members00/archive/vol_11/elorriaga/full.html)

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Dates and versions

hal-00257109 , version 1 (18-02-2008)

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  • HAL Id : hal-00257109 , version 1

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Jon A. Elorriaga, Isabel Fernández-Castro. Using Case-Based Reasoning in Instructional Planning.Towards a Hybrid Self-improving Instructional Planner. International Journal of Artificial Intelligence in Education, 2000, 11, pp.416-449. ⟨hal-00257109⟩

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