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Fuzzy Logic Models for Evaluating Student Understanding of Polar Coordinates
Author(s) -
Michael Gr. Voskoglou
Publication year - 2017
Publication title -
oriental journal of physical sciences
Language(s) - English
Resource type - Journals
ISSN - 2456-799X
DOI - 10.13005/ojps02.02.03
Subject(s) - fuzzy logic , polar coordinate system , point (geometry) , measure (data warehouse) , defuzzification , computer science , work (physics) , quality (philosophy) , polar , fuzzy number , mathematics , artificial intelligence , fuzzy set , data mining , engineering , geometry , epistemology , physics , astronomy , mechanical engineering , philosophy
In the paper at hands two assessment methods based on principles of Fuzzy Logic are applied for evaluating the student understanding of polar coordinates on the plane. The first of them utilizes triangular fuzzy numbers as assessment tools and focuses on student mean performance, while the second one adapts properly the Centre of Gravity defuzzification technique to measure the student quality performance. The connections and differences of these methods with the traditional assessment methods of calculating the mean values of the student scores and the Grade Point Average index respectively are also discussed and a classroom experiment performed in an earlier work is reused to illustrate the applicability of the above methods for the purposes of the present work. article history Received: 04 August 2017 Accepted: 06 October 2017

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