Imbalanced classification methods for student grade prediction: A systematic literature review

SDA Bujang, A Selamat, O Krejcar, F Mohamed… - IEEE …, 2022 - ieeexplore.ieee.org
Student success is essential for improving the higher education system student outcome.
One way to measure student success is by predicting students' performance based on their …

A comprehensive exploration of personalized learning in smart education: From student modeling to personalized recommendations

S Wu, Y Cao, J Cui, R Li, H Qian, B Jiang… - arxiv preprint arxiv …, 2024 - arxiv.org
With the development of artificial intelligence, personalized learning has attracted much
attention as an integral part of intelligent education. China, the United States, the European …

Multiclass prediction model for student grade prediction using machine learning

SDA Bujang, A Selamat, R Ibrahim, O Krejcar… - Ieee …, 2021 - ieeexplore.ieee.org
Today, predictive analytics applications became an urgent desire in higher educational
institutions. Predictive analytics used advanced analytics that encompasses machine …

[PDF][PDF] Using Markov chains and data mining techniques to predict students' academic performance

S Mallak, M Kanan, N Al-Ramahi, A Qedan… - Inf. Sci …, 2023 - naturalspublishing.com
In this study, the academic performance of students from the E-Commerce department at
Palestine Technical University–Kadoorie is predicted using a Markov chains model and …

Improving learning experience of students by early prediction of student performance using machine learning

H Gull, M Saqib, SZ Iqbal… - 2020 IEEE international …, 2020 - ieeexplore.ieee.org
Early indications regarding students' progress help academics to optimise their learning
strategies and focus on diverse educational practices to make the learning experience …

[PDF][PDF] Comparative study of supervised algorithms for prediction of students' performance

MT Sathe, AC Adamuthe - International Journal of Modern …, 2021 - researchgate.net
Predicting academic performance of the student is crucial task as it depends on various
factors. To perform such predictions the machine learning and data mining algorithms are …

A novel student achievement prediction method based on deep learning and attention mechanism

Y Liu, Y Hui, D Hou, X Liu - Ieee Access, 2023 - ieeexplore.ieee.org
Student achievement is an important indicator for evaluating the quality of education. It can
assess development potential of students and teaching level of lecturers. Predicting student …

Predicting academic performance of engineering students using ensemble method

TB Bithari, S Thapa, KC Hari - Technical Journal, 2020 - nepjol.info
One of the common problems that most of the engineering institutions face in recent times is
poor academic results. The statistics of the IOE semester result show that since 2009 AD, the …

[PDF][PDF] RHEM: A robust hybrid ensemble model for students' performance assessment on cloud computing course

S Sakri, AS Alluhaidan - Int. J. Adv. Comput. Sci. Appl, 2020 - academia.edu
Creating tools, such as a prediction model to assist students in a traditional or virtual setting,
is an essential activity in today's educational climate. The early stage towards incorporating …