Advanced learning analytics in academic education: Academic performance forecasting based on an artificial neural network

AG Fayoumi, AF Hajjar - International Journal on Semantic Web and …, 2020 - igi-global.com
The integration of innovative data mining and decision-making techniques in the context of
higher education is a bold initiative towards enhanced performance. Predictive and …

[PDF][PDF] Student academic performance prediction using supervised learning techniques.

M Imran, S Latif, D Mehmood… - International Journal of …, 2019 - academia.edu
Automatic Student performance prediction is a crucial job due to the large volume of data in
educational databases. This job is being addressed by educational data mining (EDM) …

[HTML][HTML] Systematic literature review on machine learning and student performance prediction: Critical gaps and possible remedies

B Sekeroglu, R Abiyev, A Ilhan, M Arslan, JB Idoko - Applied Sciences, 2021 - mdpi.com
Improving the quality, developing and implementing systems that can provide advantages to
students, and predicting students' success during the term, at the end of the term, or in the …

A study of academic performance of business school graduates using neural network and statistical techniques

M Paliwal, UA Kumar - Expert Systems with Applications, 2009 - Elsevier
Over the past several years, there is tremendous increase in the number of applicants to
business schools and hence adequately measuring the potential of these students with …

[HTML][HTML] Proposed artificial intelligence algorithm and deep learning techniques for development of higher education

A Al Ka'bi - International Journal of Intelligent Networks, 2023 - Elsevier
Artificial intelligence (AI) has been increasingly impacting various aspects of our daily lives,
including education. With the rise of digital technologies, higher education has also been …

Student performance prediction and classification using machine learning algorithms

B Sekeroglu, K Dimililer, K Tuncal - Proceedings of the 2019 8th …, 2019 - dl.acm.org
For a productive and a good life, education is a necessity and it improves individuals' life
with value and excellence. Also, education is considered a vital need for motivating self …

[HTML][HTML] An artificial intelligence approach to monitor student performance and devise preventive measures

I Khan, AR Ahmad, N Jabeur, MN Mahdi - Smart Learning Environments, 2021 - Springer
A major problem an instructor experiences is the systematic monitoring of students'
academic progress in a course. The moment the students, with unsatisfactory academic …

Predicting student academic performance at higher education using data mining: A systematic review

SA Alwarthan, N Aslam, IU Khan - … Intelligence and Soft …, 2022 - Wiley Online Library
Recently, educational institutions faced many challenges. One of these challenges is the
huge amount of educational data that can be used to discover new insights that have a …

[PDF][PDF] Supervised data mining approach for predicting student performance

WFW Yaacob, SAM Nasir, WFW Yaacob… - Indones. J. Electr. Eng …, 2019 - researchgate.net
Data mining approach has been successfully implemented in higher education and emerge
as an interesting area in educational data mining research. The approach is intended for …

Predicting students' final performance using artificial neural networks

T Ahajjam, M Moutaib, H Aissa, M Azrour… - Big Data Mining and …, 2022 - ieeexplore.ieee.org
Artificial Intelligence (AI) is based on algorithms that allow machines to make decisions for
humans. This technology enhances the users' experience in various ways. Several studies …