Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Education
Reference67 articles.
1. Agus, A., & bin Mohamed Makhbul, Z. K. (2002). An empirical study on academic achievement of business students in pursuing higher education: An emphasis on the influence of family backgrounds. New paradigm of borderless education: challenges, strategies, and implications for effective education through localization and, 168.
2. Aher, S. B., & Lobo, L. (2012, August). Applicability of data mining algorithms for recommendation system in e-learning. In Proceedings of the International Conference on Advances in Computing, Communications and Informatics (pp. 1034-1040). ACM.
3. Amrieh, E. A., Hamtini, T., & Aljarah, I. (2016). Mining educational data to predict Student’s academic performance using ensemble methods. International Journal of Database Theory and Application, 9(8), 119–136.
4. Antonenko, P. D., Toy, S., & Niederhauser, D. S. (2012). Using cluster analysis for data mining in educational technology research. Educational Technology Research and Development, 60(3), 383–398.
5. Arnold, K. E., & Pistilli, M. D. (2012, April). Course signals at Purdue: Using learning analytics to increase student success. In Proceedings of the 2nd international conference on learning analytics and knowledge (pp. 267-270). ACM.
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