Author:
YURTKAN Kamil, ,ADALIER Ahmet,TEKGÜÇ Umut, ,
Abstract
Machine learning algorithms have been used in the last decade to predict human behavior. In education, the student's behavior, and accordingly, their success prediction is also applicable in parallel with the developments in machine learning algorithms an
Reference45 articles.
1. "[1] E. ALYAHYAN and D. DÜŞTEGÖR, Predicting academic success in higher education: literature review and best practices, International Journal of Educational Technology in Higher Education 17(1), pp. 1-21, 2020.
2. [2] D. IFENTHALER and J. Y. YAU, Utilising learning analytics to support study success in higher education: a systematic review, Educational Technology Research and Development 68(4), pp. 1961-1990, 2020.
3. [3] H. S. ALENEZI and M. H. FAISAL, Utilizing crowdsourcing and machine learning in education: Literature review, Education and Information Technologies 25(4), pp. 2971-2986, 2020.
4. [4] D. HOOSHYAR, M. PEDASTE and Y. YANG, Mining educational data to predict students' performance through procrastination behavior, Entropy 22(1), paper 12, 2020.
5. [5] S. PHAUK and T. OKAZAKI, Integration of educational data mining models to a web-based support system for predicting high school student performance, International Journal of Computer and Information Engineering 15(2), pp. 131-144, 2021.
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