A bibliometric analysis of Educational Data Mining studies in global perspective
Author:
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Education
Link
https://link.springer.com/content/pdf/10.1007/s10639-023-12170-0.pdf
Reference48 articles.
1. Adeniji, B. A. (2019). A bibliometric study on learning analytics. Master’s Thesis Long Island University, New York, NY, USA.
2. Akgün, E., & Patan Öztürk, B. (2020). Science mapping research on educational data mining: a bibliometric review of international publications. Future Visions Journal, 4(14), 1–17. https://doi.org/10.29345/futvis.160
3. Almasri, A., Obaid, T., Abumandil, M. S. S., Eneizan, B., Mahmoud, A. Y., & Abu-Naser, S. S. (2023). Mining Educational Data to Improve Teachers’ Performance BT - International Conference on Information Systems and Intelligent Applications (M. Al-Emran, M. A. Al-Sharafi, & K. Shaalan (eds.); pp. 243–255). Springer International Publishing. https://doi.org/10.1007/978-3-031-16865-9_20
4. Azevedo, A., & Azevedo, J. M. (2021). Learning analytics: A bibliometric analysis of the literature over the last decade. International Journal of Educational Research Open, 2(November), 100084. https://doi.org/10.1016/j.ijedro.2021.100084
5. Baek, C., & Doleck, T. (2022). Educational Data Mining: A bibliometric analysis of an emerging field. IEEE Access: Practical Innovations, Open Solutions, 10, 31289–31296. https://doi.org/10.1109/ACCESS.2022.3160457
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