Supervised Educational Data Mining to Discover Students’ Learning Process to Improve Students’ Performance

Author:

Kiu Ching Chieh

Publisher

Springer Singapore

Reference17 articles.

1. Al-Radaideh, Q. A., Al-Shawakfa, E. M., & Al-Najjar, M. I. (2006, December). Mining student data using decision trees. In International Arab Conference on Information Technology (ACIT′2006), Yarmouk University, Jordan.

2. Aragon, S. R., Johnson, S. D., & Shaik, N. (2002). The influence of learning style preferences on student success in online versus face-to-face environments. The American Journal of Distance Education, 16(4), 227–243.

3. Ayesha, S., Mustafa, T., Sattar, A. R., & Khan, M. I. (2010). Data mining model for higher education system. Europen Journal of Scientific Research, 43(1), 24–29.

4. Bhardwaj, B. K., & Pal, S. (2012). Data mining: A prediction for performance improvement using classification. arXiv preprint arXiv:1201.3418 .

5. Drazin, S., & Montag, M. (2012). Decision tree analysis using weka (pp. 1–3). Machine Learning-Project II: University of Miami.

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