Forecasting of University Students' Turkish Language Course Exam Results According to Their Exam Preparation Levels
There are many algorithms and software in the field of forecasting. These methods are also used in education. There are studies on forecasting of student achievement in education. Forecasting of academic achievement of university students is important in terms of seeing possible situations. In this...
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| Format: | Article |
| Language: | English |
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Istanbul University
2019-12-01
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| Series: | Alphanumeric Journal |
| Subjects: | |
| Online Access: |
http://alphanumericjournal.com/media/Issue/volume-7-issue-2-2019/universite-ogrencilerinin-turk-dili-dersi-sinav-sonuclarinin_g6Hawew.pdf
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| author | Emrah Aydemir Feyzi Kaysi Sevinç Gülseçen |
| author_facet | Emrah Aydemir Feyzi Kaysi Sevinç Gülseçen |
| author_sort | Emrah Aydemir |
| collection | DOAJ |
| description | There are many algorithms and software in the field of forecasting. These methods are also used in education. There are studies on forecasting of student achievement in education. Forecasting of academic achievement of university students is important in terms of seeing possible situations. In this study, the achievement of the students towards Turkish Language course was forecasting with data mining methods. 160 student data, in a state university, were included in the study. For the data obtained, prediction models developed by DecisionStump, RandomTree, RandomForest, REPTree and M5P methods were created and compared with each other. 10-fold cross-validation method was used in the separation of data for training and test. In models, it will affect the student's passing grade; program, type of OSS entrance, OSS entrance score, OSS entrance rankings, the previous semester grade point average, midterm exam grade, studying status, the current study and how many points are expected from the exam, how the exam passed and final exam score was taken into consideration. Among the models, it was seen that the model established with best results with 10.16 mean absolute error and 0.72 correlation coefficient. As a result of the study, it is thought that students can take precautions by predicting the passing grade. |
| first_indexed | 2024-04-10T14:51:24Z |
| format | Article |
| id | doaj.art-99f5c0bb381f40cebf9f7ab6efb89a60 |
| institution | Directory Open Access Journal |
| issn | 2148-2225 |
| language | English |
| last_indexed | 2024-04-10T14:51:24Z |
| publishDate | 2019-12-01 |
| publisher | Istanbul University |
| record_format | Article |
| series | Alphanumeric Journal |
| spelling | doaj.art-99f5c0bb381f40cebf9f7ab6efb89a602023-02-15T16:07:35ZengIstanbul UniversityAlphanumeric Journal2148-22252019-12-0172351356http://dx.doi.org/10.17093/alphanumeric.58350221482225Forecasting of University Students' Turkish Language Course Exam Results According to Their Exam Preparation LevelsEmrah Aydemir0Feyzi Kaysi1Sevinç Gülseçen2 Ahi Evran University, Department of Computer Engineering, Faculty of Engineering and Architecture Istanbul University Cerrahpasa, Vocational School of Technical Sciences Istanbul University, Department of Informatics There are many algorithms and software in the field of forecasting. These methods are also used in education. There are studies on forecasting of student achievement in education. Forecasting of academic achievement of university students is important in terms of seeing possible situations. In this study, the achievement of the students towards Turkish Language course was forecasting with data mining methods. 160 student data, in a state university, were included in the study. For the data obtained, prediction models developed by DecisionStump, RandomTree, RandomForest, REPTree and M5P methods were created and compared with each other. 10-fold cross-validation method was used in the separation of data for training and test. In models, it will affect the student's passing grade; program, type of OSS entrance, OSS entrance score, OSS entrance rankings, the previous semester grade point average, midterm exam grade, studying status, the current study and how many points are expected from the exam, how the exam passed and final exam score was taken into consideration. Among the models, it was seen that the model established with best results with 10.16 mean absolute error and 0.72 correlation coefficient. As a result of the study, it is thought that students can take precautions by predicting the passing grade. http://alphanumericjournal.com/media/Issue/volume-7-issue-2-2019/universite-ogrencilerinin-turk-dili-dersi-sinav-sonuclarinin_g6Hawew.pdf data miningforecastingturkish languageuniversity students |
| spellingShingle | Emrah Aydemir Feyzi Kaysi Sevinç Gülseçen Forecasting of University Students' Turkish Language Course Exam Results According to Their Exam Preparation Levels Alphanumeric Journal data mining forecasting turkish language university students |
| title | Forecasting of University Students' Turkish Language Course Exam Results According to Their Exam Preparation Levels |
| title_full | Forecasting of University Students' Turkish Language Course Exam Results According to Their Exam Preparation Levels |
| title_fullStr | Forecasting of University Students' Turkish Language Course Exam Results According to Their Exam Preparation Levels |
| title_full_unstemmed | Forecasting of University Students' Turkish Language Course Exam Results According to Their Exam Preparation Levels |
| title_short | Forecasting of University Students' Turkish Language Course Exam Results According to Their Exam Preparation Levels |
| title_sort | forecasting of university students turkish language course exam results according to their exam preparation levels |
| topic | data mining forecasting turkish language university students |
| url |
http://alphanumericjournal.com/media/Issue/volume-7-issue-2-2019/universite-ogrencilerinin-turk-dili-dersi-sinav-sonuclarinin_g6Hawew.pdf
|
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