From qualitative reasoning models to Bayesian-based learner modeling

U. Milošević, B. Bredeweg

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Assessing the knowledge of a student is a fundamental part of intelligent learning environments. We present a Bayesian network based approach to dealing with uncertainty when estimating a learner’s state of knowledge in the context of Qualitative Reasoning (QR). A proposal for a global architecture is given. The essentials of the belief network structure for individual scenarios are described, while paying special attention to knowledge aggregation and some design issues that are specific for the domain of QR.
Original languageEnglish
Title of host publication24th International Workshop on Qualitative Reasoning (QR’10), Portland, Oregon, USA
EditorsJ. de Kleer, K.D. Forbus
Pages132-137
Number of pages6
Publication statusPublished - 2010
Externally publishedYes

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