Statistical evaluation of mathematics lecture performances by soft computing approach
2018; Wiley; Volume: 26; Issue: 4 Linguagem: Inglês
10.1002/cae.21931
ISSN1099-0542
AutoresSnežana Gavrilović, Nebojša Denić, Dalibor Petković, Nebojša Živić, Slađana Vujičić,
Tópico(s)Educational Technology and Assessment
ResumoComputer Applications in Engineering EducationVolume 26, Issue 4 p. 902-905 RESEARCH ARTICLE Statistical evaluation of mathematics lecture performances by soft computing approach Snežana Gavrilović, Snežana Gavrilović ALFA BK University – Faculty of Mathematics and Computing, Belgrade, SerbiaSearch for more papers by this authorNebojša Denić, Nebojša Denić ALFA BK University – Faculty of Mathematics and Computing, Belgrade, SerbiaSearch for more papers by this authorDalibor Petković, Corresponding Author Dalibor Petković dalibortc@gmail.com orcid.org/0000-0003-1680-1163 University of Niš, Pedagogical Faculty in Vranje, Vranje, Serbia Correspondence Dalibor Petković, University of Niš, Pedagogical Faculty in Vranje, Partizanska 14, 17500 Vranje, Serbia. Email: dalibortc@gmail.comSearch for more papers by this authorNebojša V. Živić, Nebojša V. Živić ALFA BK University – Faculty of Mathematics and Computing, Belgrade, Serbia University of Pristina, Faculty of Natural Sciences, Kosovska Mitrovica, SerbiaSearch for more papers by this authorSlađana Vujičić, Slađana Vujičić Faculty of Business Economics and Entrepreneurship, Belgrade, SerbiaSearch for more papers by this author Snežana Gavrilović, Snežana Gavrilović ALFA BK University – Faculty of Mathematics and Computing, Belgrade, SerbiaSearch for more papers by this authorNebojša Denić, Nebojša Denić ALFA BK University – Faculty of Mathematics and Computing, Belgrade, SerbiaSearch for more papers by this authorDalibor Petković, Corresponding Author Dalibor Petković dalibortc@gmail.com orcid.org/0000-0003-1680-1163 University of Niš, Pedagogical Faculty in Vranje, Vranje, Serbia Correspondence Dalibor Petković, University of Niš, Pedagogical Faculty in Vranje, Partizanska 14, 17500 Vranje, Serbia. Email: dalibortc@gmail.comSearch for more papers by this authorNebojša V. Živić, Nebojša V. Živić ALFA BK University – Faculty of Mathematics and Computing, Belgrade, Serbia University of Pristina, Faculty of Natural Sciences, Kosovska Mitrovica, SerbiaSearch for more papers by this authorSlađana Vujičić, Slađana Vujičić Faculty of Business Economics and Entrepreneurship, Belgrade, SerbiaSearch for more papers by this author First published: 23 March 2018 https://doi.org/10.1002/cae.21931Citations: 32Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Abstract Mathematics lectures could be very challenging task for the both, teachers and pupils, since there are large education material which should be acquired throughout 1 year. Therefore there is need to improve the lectures in order to make it more interesting and attractive for pupils especially. In order to find a way how to improve the lectures, there is need to make statistical analysis in order to detect which factors are the most dominant for the mathematics lecture performance. For such a purpose, in this study soft computing approach, namely, adaptive neuro fuzzy inference system (ANFIS) was used. The ANFIS should determine what the qualitative influence of the several factors on the mathematics performance is. The results confirm that the application for education software could produce the best results in mathematics lecture. Citing Literature Volume26, Issue4July 2018Pages 902-905 RelatedInformation
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