Fuzzy method of evaluation of instructionals techniques based on learning styles: FuzzyILS-instruction

Abstract

Currently, and increasingly, education uses technology to support teaching and learning processes, the present work shows a system to determine the best instructional techniques, taking into account students' learning styles, using a modification of the Felder and Soloman test. This modification, called FuzzyILS, was performed by Silva, Vicari and Ponce in 2016, and proposes the fuzzy of Felder and Soloman test, to determine the degree of belonging of a student to each dimension in the Felder and Silverman learning styles. In the work the method called FuzzyILS-Instruction is explained, the evaluation is performed and a comparison is made with the results obtained in the previous method, which does not implement the original Felder and Soloman test, called MeLOTS.