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 …

[HTML][HTML] Understanding the role of study strategies and learning disabilities on student academic performance to enhance educational approaches: A proposal using …

A Bressane, D Zwirn, A Essiptchouk… - … and Education: Artificial …, 2024 - Elsevier
Statement of problem The students' academic performance is influenced by a complex
interplay among several factors. Traditional educational approaches often struggle to …

[HTML][HTML] Machine learning model (RG-DMML) and ensemble algorithm for prediction of students' retention and graduation in education

K Okoye, JT Nganji, J Escamilla, S Hosseini - Computers and Education …, 2024 - Elsevier
Automated prediction of students' retention and graduation in education using advanced
analytical methods such as artificial intelligence (AI), has recently attracted the attention of …

Student Performance Prediction Model Based on Course Description and Student Similarity

D Mäder, M Spahic-Bogdanovic… - … Conference on Advanced …, 2024 - Springer
Choosing courses at the beginning of each semester is a complex decision that affects
students' future careers and academic performance, especially when given the freedom to …