Data Mining Studies in Education: Literature Review For The Years 2014-2020
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Bayburt Universitesi
Reference102 articles.
1. Adekitan, A. I., & Salau, O. (2019). The impact of engineering students’ performance in the first three years on their graduation result using educational data mining. Heliyon, 5(2), e01250.
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3. Ahmed, A. M., Rizaner, A., & Ulusoy, A. H. (2016). Using data mining to predict instructor performance. Procedia Computer Science, 102, 137–142.
4. Aldowah, H., Al-Samarraie, H., & Fauzy, W. M. (2019). Educational data mining and learning analytics for 21st century higher education: A review and synthesis. Telematics and Informatics, 37, 13–49.
5. Alfiani, A. P., & Wulandari, F. A. (2015). Mapping student’s performance based on data mining approach (a case study). Agriculture and Agricultural Science Procedia, 3, 173–177.
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