Predicting Performance of First Year Engineering Students in Calculus by Using Support Vector Machines
Mathematics is one of the most important subjects for engineering education. In School of Engineering, students who enter university without basic mathematical knowledge and skills are categorized as mathematically 'at-risk'. The purpose of this study was to predict 'at risk' stu...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Pamukkale University
2011-02-01
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| Series: | Pamukkale University Journal of Engineering Sciences |
| Subjects: | |
| Online Access: | http://dergipark.ulakbim.gov.tr/pajes/article/view/5000088681 |
| _version_ | 1797913019623145472 |
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| author | Necdet Güner Emre Çomak |
| author_facet | Necdet Güner Emre Çomak |
| author_sort | Necdet Güner |
| collection | DOAJ |
| description | Mathematics is one of the most important subjects for engineering education. In School of Engineering, students who enter university without basic mathematical knowledge and skills are categorized as mathematically 'at-risk'. The purpose of this study was to predict 'at risk' students by using Support Vector Machine method. Data of Pamukkale University School of Engineering's 434 incoming students of year 2007 were considered in this study. The result shows that students' university entrance examination mathematics, science and Turkish tests scores and students' high school graduation grade point average are important items to predict students' achievement at university calculus I course. SVM is trained with features of 289 students and tested with features of remaining 145 students. 86% of successful students for calculus I course was predicted as true by SVM. |
| first_indexed | 2024-04-10T12:05:05Z |
| format | Article |
| id | doaj.art-c52ec68f24a0457198e5c29b0b7b463d |
| institution | Directory Open Access Journal |
| issn | 1300-7009 2147-5881 |
| language | English |
| last_indexed | 2024-04-10T12:05:05Z |
| publishDate | 2011-02-01 |
| publisher | Pamukkale University |
| record_format | Article |
| series | Pamukkale University Journal of Engineering Sciences |
| spelling | doaj.art-c52ec68f24a0457198e5c29b0b7b463d2023-02-15T16:16:20ZengPamukkale UniversityPamukkale University Journal of Engineering Sciences1300-70092147-58812011-02-0117287965000082750Predicting Performance of First Year Engineering Students in Calculus by Using Support Vector MachinesNecdet GünerEmre ÇomakMathematics is one of the most important subjects for engineering education. In School of Engineering, students who enter university without basic mathematical knowledge and skills are categorized as mathematically 'at-risk'. The purpose of this study was to predict 'at risk' students by using Support Vector Machine method. Data of Pamukkale University School of Engineering's 434 incoming students of year 2007 were considered in this study. The result shows that students' university entrance examination mathematics, science and Turkish tests scores and students' high school graduation grade point average are important items to predict students' achievement at university calculus I course. SVM is trained with features of 289 students and tested with features of remaining 145 students. 86% of successful students for calculus I course was predicted as true by SVM.http://dergipark.ulakbim.gov.tr/pajes/article/view/5000088681Makine öğrenmesi, Destek vektör makinesi, Matematik başarısının tahmini. |
| spellingShingle | Necdet Güner Emre Çomak Predicting Performance of First Year Engineering Students in Calculus by Using Support Vector Machines Pamukkale University Journal of Engineering Sciences Makine öğrenmesi, Destek vektör makinesi, Matematik başarısının tahmini. |
| title | Predicting Performance of First Year Engineering Students in Calculus by Using Support Vector Machines |
| title_full | Predicting Performance of First Year Engineering Students in Calculus by Using Support Vector Machines |
| title_fullStr | Predicting Performance of First Year Engineering Students in Calculus by Using Support Vector Machines |
| title_full_unstemmed | Predicting Performance of First Year Engineering Students in Calculus by Using Support Vector Machines |
| title_short | Predicting Performance of First Year Engineering Students in Calculus by Using Support Vector Machines |
| title_sort | predicting performance of first year engineering students in calculus by using support vector machines |
| topic | Makine öğrenmesi, Destek vektör makinesi, Matematik başarısının tahmini. |
| url | http://dergipark.ulakbim.gov.tr/pajes/article/view/5000088681 |
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