Analysis of Machine Learning Models for Academic Performance Prediction

AB Amaya, HC Barrera, R Manrique - International Conference on …, 2024 - Springer
The prevalent issue of increased student dropouts, shared by universities worldwide, often
culminates in decreased academic performance and prolonged completion times for degree …

Academic Performance Prediction with Machine Learning Techniques

Z Ren - 2019 - search.proquest.com
Nationally, the six year graduation rate for four year degree programs at universities and
colleges in the United States has remained approximately 60% over the past decade. One of …

Feature extraction for next-term prediction of poor student performance

A Polyzou, G Karypis - IEEE Transactions on Learning …, 2019 - ieeexplore.ieee.org
Developing tools to support students and learning in a traditional or online setting is a
significant task in today's educational environment. The initial steps toward enabling such …

A Survey of Machine Learning for Assessing and Estimating Student Performance

A Kaur, M Bhatia - Proceedings of International Conference on Recent …, 2023 - Springer
Educational data mining (EDM) contributes cutting-edge methodologies, strategies, and
applications to the advancement of the education system, hence playing a crucial part in its …

Student performance prediction—a data science approach

Y Sri Lalitha, Y Gayathri, MV Aditya Nag… - Modern Approaches in …, 2021 - Springer
Education is necessary to improve an individuals' life with quality and brilliance. The
education system has changed from conventional Teaching/Learning to activity based …

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 …

Student Performance Prediction in Learning Management System Using Small Dataset

ZS Hafdi, S El Kafhali - … Conference on Artificial Intelligence and Computer …, 2023 - Springer
Predicting students' performance has become a major need in most educational institutions.
This is necessary to support at-risk students, ensure their retention, provide top-notch …

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 …

[PDF][PDF] Investigating the efficacy of algorithmic student modelling in predicting students at risk of failing in tertiary education

G Gray, C McGuinness, P Owende - Educational Data Mining 2013, 2013 - Citeseer
The increasing numbers enrolling for college courses, and increased diversity in the
classroom, poses a challenge for colleges in enabling all students achieve their potential …

Student performance prediction using AI and ML: state of the art

AH Hoti, X Zenuni, M Hamiti… - 2023 12th Mediterranean …, 2023 - ieeexplore.ieee.org
The digitalization of educational processes has enabled the generation of large datasets
that can be used to improve processes in academic environments. One particular problem is …