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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Educational Data Mining & Students’ Performance Prediction
Digital Object Identifier (DOI) : 10.14569/IJACSA.2016.070531
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 5, 2016.
Abstract: It is important to study and analyse educational data especially students’ performance. Educational Data Mining (EDM) is the field of study concerned with mining educational data to find out interesting patterns and knowledge in educational organizations. This study is equally concerned with this subject, specifically, the students’ performance. This study explores multiple factors theoretically assumed to affect students’ performance in higher education, and finds a qualitative model which best classifies and predicts the students’ performance based on related personal and social factors.
Keywords: Data Mining; Education; Students; Performance; Patterns
Amjad Abu Saa, “Educational Data Mining & Students’ Performance Prediction” International Journal of Advanced Computer Science and Applications(IJACSA), 7(5), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070531
@article{Saa2016,
title = {Educational Data Mining & Students’ Performance Prediction},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070531},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070531},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {5},
author = {Amjad Abu Saa}
}
