Statistical evaluation of mathematics lecture performances by soft computing approach
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 or...
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| Veröffentlicht in: | Computer applications in engineering education 2018-07, Vol.26 (4), p.902-905 |
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| container_title | Computer applications in engineering education |
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| creator | Gavrilović, Snežana Denić, Nebojša Petković, Dalibor Živić, Nebojša V. Vujičić, Slađana |
| description | 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. |
| doi_str_mv | 10.1002/cae.21931 |
| format | Article |
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| source | Wiley Online Library Journals Frontfile Complete |
| subjects | Adaptive systems Artificial neural networks Education education software Fuzzy logic Fuzzy systems Mathematical analysis Mathematics mathematics lecture Public speaking Soft computing Statistical analysis teaching |
| title | Statistical evaluation of mathematics lecture performances by soft computing approach |
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