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Communication Dans Un Congrès Année : 2022

Design and Evaluation of a Competency-based Recommendation Process

Résumé

The purpose of recommending activities to learners is to provide them with resources adapted to their needs in order to facilitate the learning process. However, when teachers face a large number of students, it is difficult for them to recommend a personalized list of resources to each learner. In this paper, we are interested in the design of a system that automatically recommends resources to learners using their cognitive profile expressed in terms of competencies, but also according to a specific strategy defined by teachers. Our contributions relate to (1) a competency-based pedagogical strategy allowing to express the teacher’s expertise, and (2) a recommendation pro-cess based on this strategy. This process has been experimented and assessed with students learning Shell programming in a first-year computer science degree. The first results show that (i) the items selected by our system from the set of possible items were relevant ac-cording to the experts; (ii) our system provided recommendations in a reasonable time; (iii) the recommendations were consulted by the learners but lacked usability.
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Dates et versions

hal-03642155 , version 1 (14-04-2022)

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  • HAL Id : hal-03642155 , version 1

Citer

Louis Sablayrolles, Marie Lefevre, Nathalie Guin, Julien Broisin. Design and Evaluation of a Competency-based Recommendation Process. Intelligent Tutoring Systems, Jul 2022, Bucharest, Romania. ⟨hal-03642155⟩
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