[HTML][HTML] Artificial intelligence in education: A systematic literature review

S Wang, F Wang, Z Zhu, J Wang, T Tran… - Expert Systems with …, 2024 - Elsevier
Artificial intelligence (AI) in education (AIED) has evolved into a substantial body of literature
with diverse perspectives. In this review paper, we seek insights into three critical …

Predicting and comparing students' online and offline academic performance using machine learning algorithms

B Holicza, A Kiss - Behavioral Sciences, 2023 - mdpi.com
Due to COVID-19, the researching of educational data and the improvement of related
systems have become increasingly important in recent years. Educational institutions seek …

Leverage Learning Behaviour Data for Students' Learning Performance Prediction and Influence Factor Analysis

Q Ni, Y Zhu, L Zhang, X Lu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Online education has become increasingly significant for university students and faculty,
especially in the context of the modern remote education landscape. However, the inherent …

Feature optimization and machine learning for predicting students' academic performance in higher education institutions

A Perkash, Q Shaheen, R Saleem, F Rustam… - Education and …, 2024 - Springer
Develo** tools to support students, educators, intuitions, and government in the
educational environment has become an important task to improve the quality of education …

Predicting Student Performance in a Programming Tutoring System Using AI and Filtering Techniques

M Ilic, G Kekovic, V Mikic, K Mangaroska… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In recent years, there has been an increasing trend of utilizing artificial intelligence (AI)
methodologies over traditional statistical methods for predicting student performance in e …

A Digital Recommendation System for Personalized Learning to Enhance Online Education: A Review

GM Dhananjaya, RH Goudar, A Kulkarni… - IEEE …, 2024 - ieeexplore.ieee.org
This review delves into using e-learning technology and personalized recommendation
systems in education. It examines 60 articles from prominent databases and identifies the …

Predicting the pharmaceutical needs of hospitals using machine learning algorithms

AH Nabizadeh, MM Ghaemi, D Goncalves - International Journal of Data …, 2024 - Springer
People's lives are always threatened by various diseases. The role of health and medical
services, in particular medicine, is undeniable in protecting their lives. Timely preparation …

Personalized Guidance for Moroccan Students: An Approach Based on Machine Learning and Big Data.

M Badrani, A Marouan, N Kannouf… - International Journal …, 2025 - search.ebscohost.com
Hel** Moroccan students choose their high school presents significant challenges
influenced by a variety of factors, including academic achievement, potential, and …

A Novel Grades Prediction Method for Undergraduate Students by Learning Explicit Conditional Distribution

N Zhang, M Liu, L Wang, S Liu, R Sun… - IEEE Transactions on …, 2024 - computer.org
Educational data mining (EDM) offers an effective solution to predict students' course grades
in the next-term. Conventional grade prediction methods can be viewed as regressing an …

Feature selection techniques and classification algorithms for student performance classification: a review.

MA Hadi Alias, N Hambali… - … Journal of Electrical …, 2024 - search.ebscohost.com
The process of categorizing students' performance based on input data, encompassing
demographic information and final exam results, is recognized as student performance …