Student modeling based on fuzzy inference mechanisms

作者: Alenka Kavcic , Rafael Pedraza-Jiménez , Harold Molina-Bulla , Francisco J Valverde-Albacete , Jesús Cid-Sueiro

DOI: 10.1109/EURCON.2003.1248223

关键词:

摘要: The paper presents a competence-based instructional design system and way to provide personalization of navigation in the course content. aid tool builds on competence graph student model, which includes elements uncertainty assessment students. An individualized is constructed for each student, suggesting competences more prepared study. We use fuzzy set theory dealing with uncertainty. marks tests are transformed into linguistic terms used assigning values variables. For competence, level difficulty knowing its prerequisites calculated based marks. Using these variables approximate reasoning (fuzzy IF-THEN rules), crisp category assigned regarding recommendation.

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