Development of an Intelligent Assessment System for Solo Taxonomies Using Fuzzy Logic

Authors:
John Vrettaros;George Vouros;Athanasios Drigas
Affiliations:
Department of Applied Technologies, Patriarhou Grigoriou, NCSR DEMOKRITOS, Paraskevi, Greece 15310 Ag. and Aegean University, Info and Communication Systems Eng, Karlovassi, Greece 83200;Aegean University, Info and Communication Systems Eng, Karlovassi, Greece 83200;Department of Applied Technologies, Patriarhou Grigoriou, NCSR DEMOKRITOS, Paraskevi, Greece 15310 Ag.
Venue:
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Year:
2007

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Abstract

In this paper is presented a modeling of assessment systems of taxonomies using fuzzy logic. Specifically the taxonomies system solo is studied, which can be applied in a wide range of fields of diagnostic science. In what concerns education, the test correction is extremely hard and demands experts that are not always available. The intelligent system offers the opportunity to evaluate and classify students' performance according to the structure of the observed learning outcome, concerning the cognitive development of the students in the field of mathematics. The system was tested on high school and university students.