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 …

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 …

[HTML][HTML] A systematic review of the literature on machine learning application of determining the attributes influencing academic performance

I Issah, O Appiah, P Appiahene, F Inusah - Decision analytics journal, 2023 - Elsevier
Academic institutions operate in an extremely demanding and competitive environment.
Some difficulties confronting most schools are delivering high-quality education to the …

Using educational data mining techniques to increase the prediction accuracy of student academic performance

G Ramaswami, T Susnjak, A Mathrani, J Lim… - Information and …, 2019 - emerald.com
Purpose This paper aims to evaluate educational data mining methods to increase the
predictive accuracy of student academic performance for a university course setting. Student …

Predicting student's performance using machine learning methods: A systematic literature review

Y Baashar, G Alkawsi, N Ali… - … on Computer & …, 2021 - ieeexplore.ieee.org
Student's performance is a success factor in higher education institutions. The excellent
record of academic achievements raises the institution's ranking as one of the criteria for a …

A survey on educational data mining methods used for predicting students' performance

W Xiao, P Ji, J Hu - Engineering Reports, 2022 - Wiley Online Library
Predicting students' performance is one of the most important issues in educational data
mining (EDM), which has received more and more attention. By predicting students' …

Recent advances in Predictive Learning Analytics: A decade systematic review (2012–2022)

N Sghir, A Adadi, M Lahmer - Education and information technologies, 2023 - Springer
The last few years have witnessed an upsurge in the number of studies using Machine and
Deep learning models to predict vital academic outcomes based on different kinds and …

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 …

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 …

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 …