Enhancing prediction of student success: Automated machine learning approach

H Zeineddine, U Braendle, A Farah - Computers & Electrical Engineering, 2021 - Elsevier
Students' success has recently become a primary strategic objective for most institutions of
higher education. With budget cuts and increasing operational costs, academic institutions …

Predicting academic success in higher education: literature review and best practices

E Alyahyan, D Düştegör - … Journal of Educational Technology in Higher …, 2020 - Springer
Student success plays a vital role in educational institutions, as it is often used as a metric for
the institution's performance. Early detection of students at risk, along with preventive …

[PDF][PDF] Using machine learning algorithms to predict students' performance and improve learning outcome: A literature based review

F Ofori, E Maina, R Gitonga - Journal of Information and Technology, 2020 - academia.edu
The application of machine learning techniques in predicting students' performance, based
on their background and their in-term performance has proved to be a helpful tool for …

Predicting students' performance employing educational data mining techniques, machine learning, and learning analytics

A Alam, A Mohanty - International Conference on Communication …, 2022 - Springer
Student success is important in colleges and universities since it is often used as a measure
of the institution's effectiveness. Identifying at-risk students early on and implementing …

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 …

Predictive modeling for student performance: harnessing machine learning to forecast academic marks

CK Suryadevara - International Journal of Research in Engineering …, 2018 - papers.ssrn.com
This research investigates the impact of machine learning on higher education teaching and
learning, as well as strategies for enhancing the learning environment. There has been a …

Predicting student performance using data mining and learning analytics techniques: A systematic literature review

A Namoun, A Alshanqiti - Applied Sciences, 2020 - mdpi.com
Featured Application The herein survey is among the first research efforts to synthesize the
intelligent models and paradigms applied in education to predict the attainment of student …

A machine learning approach for tracking and predicting student performance in degree programs

J Xu, KH Moon… - IEEE Journal of Selected …, 2017 - ieeexplore.ieee.org
Accurately predicting students' future performance based on their ongoing academic records
is crucial for effectively carrying out necessary pedagogical interventions to ensure students' …

Educational data mining: prediction of students' academic performance using machine learning algorithms

M Yağcı - Smart Learning Environments, 2022 - Springer
Educational data mining has become an effective tool for exploring the hidden relationships
in educational data and predicting students' academic achievements. This study proposes a …

Factors affecting students' performance in higher education: a systematic review of predictive data mining techniques

A Abu Saa, M Al-Emran, K Shaalan - Technology, Knowledge and …, 2019 - Springer
Predicting the students' performance has become a challenging task due to the increasing
amount of data in educational systems. In keeping with this, identifying the factors affecting …