Data Mining Studies in Education: Literature Review For The Years 2014-2020
Abstract
Keywords
References
- 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.
- Agarwal, S., Pandey, G. N., & Tiwari, M. D. (2012). Data mining in education: data classification and decision tree approach. International Journal of E-Education, e-Business, e-Management and e-Learning, 2(2), 140.
- Ahmed, A. M., Rizaner, A., & Ulusoy, A. H. (2016). Using data mining to predict instructor performance. Procedia Computer Science, 102, 137–142.
- 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.
- 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.
- Aljobouri, H. K., Jaber, H. A., Kocak, O. M., Algin, O., & Cankaya, I. (2018). Clustering fMRI data with a robust unsupervised learning algorithm for neuroscience data mining. Journal of Neuroscience Methods, 299, 45–54.
- Amado, A., Cortez, P., Rita, P., & Moro, S. (2018). Research trends on Big Data in Marketing: A text mining and topic modeling based literature analysis. European Research on Management and Business Economics, 24(1), 1–7.
- Amornsinlaphachai, P. (2015). The design of a framework for cooperative learning through web utilizing data mining technique to group learners. Procedia-Social and Behavioral Sciences, 174, 27–33.
Details
Primary Language
English
Subjects
Other Fields of Education
Journal Section
Systematic Reviews and Meta Analysis
Publication Date
March 31, 2022
Submission Date
December 30, 2020
Acceptance Date
April 3, 2021
Published in Issue
Year 2022 Volume: 17 Number: 33
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