[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 …

[HTML][HTML] 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 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 …

Assessment and evaluation of different machine learning algorithms for predicting student performance

YA Alsariera, Y Baashar, G Alkawsi… - Computational …, 2022 - Wiley Online Library
Student performance is crucial to the success of tertiary institutions. Especially, academic
achievement is one of the metrics used in rating top‐quality universities. Despite the large …

[HTML][HTML] Contributions of machine learning models towards student academic performance prediction: a systematic review

P Balaji, S Alelyani, A Qahmash, M Mohana - Applied Sciences, 2021 - mdpi.com
Machine learning is emerging nowadays as an important tool for decision support in many
areas of research. In the field of education, both educational organizations and students are …

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] Predictive analysis of students' learning performance using data mining techniques: A comparative study of feature selection methods

S Syed Mustapha - Applied System Innovation, 2023 - mdpi.com
The utilization of data mining techniques for the prompt prediction of academic success has
gained significant importance in the current era. There is an increasing interest in utilizing …

[HTML][HTML] A novel method for performance measurement of public educational institutions using machine learning models

TM Alam, M Mushtaq, K Shaukat, IA Hameed… - Applied Sciences, 2021 - mdpi.com
Lack of education is a major concern in underdeveloped countries because it leads to poor
human and economic development. The level of education in public institutions varies …

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 …

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 …