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14 juin 2012
- handle: 10670/1.mq8505
- hal: hal-00873888
- doi: 10.1007/978-3-642-30950-2_55
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info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-642-30950-2_55
info:eu-repo/semantics/OpenAccess
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Student model fuzzy inference system rule-baseSujets proches
Nonlinear logic Molding (Clay, plaster, etc.) Clay modeling ModellingCiter ce document
Goel Gagan et al., « Fuzzy Logic Representation for Student Modelling: Case Study on Geometry », HAL-SHS : sciences de l'éducation, ID : 10.1007/978-3-642-30950-2_55
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Our aim is to develop a Fuzzy Logic based student model which removes the arbitrary specification of precise numbers and facilitates the modelling at a higher level of abstraction. Fuzzy Logic involves the use of natural language in the form of If-Then statements to demonstrate knowledge of domain experts and hence generates decisions and facilitates human reasoning based on imprecise information coming from the student-computer interaction. Our case study is in geometry. In this paper, we propose a fuzzy logic representation for student modelling and compare it with the Additive Factor Model (AFM) algorithm implemented on DataShop. Two rule-based fuzzy inference systems have been developed that ultimately predict the degree of error a student makes in the next attempt to the problem. Results indicate the rule-based systems achieve levels of accuracy matching that of the AFM algorithm.