A Framework for a Multi-Faceted, Educational, Knowledge-Based Recommender System
نویسنده
چکیده
The literature on intelligent or adaptive tutoring systems generally has a focus on how to determine what resources to present to students as they make their way through a course of study. The idea of multi-faceted student modeling is that a variety of measures, both academic and nonacademic, might be represented in student models in service of a broader educational context. This paper contains a framework for a multi-faceted, educational, knowledge-based recommender system, including a basic set of descriptors that the model contains, and a taxonomy of inferences that might be made over such models.
منابع مشابه
Categories of Inference in a Multi-Faceted, Educational, Knowledge-based Recommender System
Knowledge-based recommender systems comprise one category of user-modeling system that can draw inferences from user models. This brief paper contains a global description of a multi-faceted, educational, knowledge-based recommender system, including a basic set of descriptors that the model contains, a taxonomy of inferences that might be made over such models, and a listing of literature that...
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