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 …

Comprehensive exercise recommendation with practicality, generalizability, and versatility in AI-driven education

G Liu, M Ren, L Guo, J Li, M Ma - Information Processing & Management, 2025 - Elsevier
Exercise recommendation plays a crucial role in facilitating learning outcomes. This poses
challenges because of the need to consider multiple aspects jointly to achieve practicality …

[HTML][HTML] Explainable exercise recommendation with knowledge graph

Q Guan, X Cheng, F Xiao, Z Li, C He, L Fang, G Chen… - Neural Networks, 2025 - Elsevier
Recommending suitable exercises and providing the reasons for these recommendations is
a highly valuable task, as it can significantly improve students' learning efficiency …

Attention-based Graph Clustering Network with Dual Information Interaction

X Lin, Y Li, C Jia, B Zu, W Zhu - Knowledge-Based Systems, 2025 - Elsevier
The field of attributed graph clustering has garnered increasing attention, particularly with
the advent of graph convolutional network (GCN), which have deepened our understanding …

A unified embedding-based relation completion framework for knowledge graph

H Zhong, W Li, Q Zhang, R Lin, Y Tang - Knowledge-Based Systems, 2024 - Elsevier
The relation completion for knowledge graph requires expanding and enriching a
knowledge graph by predicting the missing relation in a given triple which has known head …

Concept Prerequisite Relation Prediction by Using Permutation-Equivariant Directed Graph Neural Networks

X Qu, X Shang, Y Zhang - arXiv preprint arXiv:2312.09802, 2023 - arxiv.org
This paper studies the problem of CPRP, concept prerequisite relation prediction, which is a
fundamental task in using AI for education. CPRP is usually formulated into a link-prediction …