Machine Learning Techniques for Evaluating Student Performance

Author:

Oludipe Josephine,Saeed Faisal,Mohammed Rasheed

Publisher

Springer Nature Switzerland

Reference22 articles.

1. Hoffait, A.S., Schyns, M.: Early detection of university students with potential difficulties. Decis. Support. Syst. 101, 1–11 (2017)

2. Siemens, G., Baker, R.S.D.: Learning analytics and educational data mining: towards communication and collaboration. In: Proceedings of the 2nd International Conference on Learning Analytics and Knowledge, pp. 252–254, April 2012

3. Ahmad, F., Ismail, N.H., Aziz, A.A.: The prediction of students’ academic performance using classification data mining techniques. Appl. Math. Sci. 9(129), 6415–6426 (2015)

4. Baker, R.S., Yacef, K.: The state of educational data mining in 2009: a review and future visions. J. Educ. Data Mining 1(1), 3–17 (2009)

5. Siemens, G., Long, P.: Penetrating the fog: analytics in learning and education. EDUCAUSE Rev. 46(5), 30 (2011)

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