H Shaziya, R Zaheer, G Kavitha - International Journal of …, 2015 - researchgate.net
Educational data mining is an emerging trend, concerned with developing techniques for exploring, and analyzing the huge data that come from the educational context. EDM is …
Educational systems designed to meet the needs of academic advisors about adaptive learning will always be an essential issue, as this will be the beginning of the development …
S Fatima, S Mahgoub - Int J Comput Appl, 2019 - academia.edu
In this data world, where users spawn their digital footprint and generate a huge amount of unstructured data continuously with each activity, data mining techniques help in …
The main objective of this study is to apply data mining techniques to predict and analyze students' academic performance based on their academic record and forum participation …
H Kaur, EG Bathla - International Journal on Future Revolution in …, 2018 - core.ac.uk
Educational sector produces data in large amount that is too voluminous and complex to understand. There is a need to efficiently filter and prioritize the data so as to deliver the …
F Ahmad, NH Ismail, AA Aziz - Applied mathematical sciences, 2015 - m-hikari.com
Data Mining provides powerful techniques for various fields including education. The research in the educational field is rapidly increasing due to the massive amount of students' …
I Shingari, D Kumar, M Khetan - Journal of Statistics and …, 2017 - Taylor & Francis
This paper brings in an insight of the number of ways the students' performance can be predicted. The performance of a student plays a vital role in any institution. It is the measure …
M Kumar, AJ Singh - International Journal of Modern Education and …, 2017 - academia.edu
This paper highlights important issues of higher education system such as predicting student's academic performance. This is trivial to study predominantly from the point of view …