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The Participatory Design of Logic-Muse, an Intelligent Tutoring System for Logical Reasoning in Multiple Contexts
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, University of Quebec at Montreal, Canada ; , University of Yaoundé, Canada

EdMedia + Innovate Learning, in Montreal, Quebec, Canada ISBN 978-1-939797-16-2 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC

Abstract

This paper presents a unique participatory approach to design Logic-Muse, an Intelligent Tutoring System that helps learners develop reasoning skills in multiple contexts. The study was conducted jointly with the active participation of experts in the field of logic and the psychology of reasoning. A catalogue of systematic errors in logical reasoning situations was built, followed by an explicit representation of the semantic knowledge behind reasoning as well as reasoning procedural structures and meta-structures. All these basic components were intensively argued with and internally validated by experts. The first implementation of Logic-Muse focused on classical propositional logic and is used to support learners in their reasoning in a wide range of situations including causal concrete authentic situations as well as abstract formal ones. During the reasoning problem solving, the system provides effective feedback following a thorough cognitive diagnosis of the learner errors.

Citation

Nkambou, R. & Kenfack, C. (2015). The Participatory Design of Logic-Muse, an Intelligent Tutoring System for Logical Reasoning in Multiple Contexts. In S. Carliner, C. Fulford & N. Ostashewski (Eds.), Proceedings of EdMedia 2015--World Conference on Educational Media and Technology (pp. 1710-1719). Montreal, Quebec, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved March 28, 2024 from .

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