Large language models for education: A survey and outlook

S Wang, T Xu, H Li, C Zhang, J Liang, J Tang… - arXiv preprint arXiv …, 2024 - arxiv.org
The advent of Large Language Models (LLMs) has brought in a new era of possibilities in
the realm of education. This survey paper summarizes the various technologies of LLMs in …

A Review of Data Mining in Personalized Education: Current Trends and Future Prospects

Z Xiong, H Li, Z Liu, Z Chen, H Zhou, W Rong… - arXiv preprint arXiv …, 2024 - arxiv.org
Personalized education, tailored to individual student needs, leverages educational
technology and artificial intelligence (AI) in the digital age to enhance learning effectiveness …

Edugraph: Learning path-based hypergraph neural networks for mooc course recommendation

M Li, Z Li, C Huang, Y Jiang… - IEEE Transactions on Big …, 2024 - ieeexplore.ieee.org
In online learning, personalized course recommendations that align with learners'
preferences and future needs are essential. Thus, the development of efficient recommender …

[HTML][HTML] A Comprehensive Review of Dropout Prediction Methods Based on Multivariate Analysed Features of MOOC Platforms

S Alghamdi, B Soh, A Li - Multimodal Technologies and Interaction, 2025 - mdpi.com
Massive open online courses have revolutionised the learning environment, but their
effectiveness is undermined by low completion rates. Traditional dropout prediction models …

Evolutionary Reinforcement Learning: A Systematic Review and Future Directions

Y Lin, F Lin, G Cai, H Chen, L Zou, P Wu - arXiv preprint arXiv:2402.13296, 2024 - arxiv.org
In response to the limitations of reinforcement learning and evolutionary algorithms (EAs) in
complex problem-solving, Evolutionary Reinforcement Learning (EvoRL) has emerged as a …

Framelet-based dual hypergraph neural networks for student performance prediction

Y Yang, J Shi, M Li, H Fujita - International Journal of Machine Learning …, 2024 - Springer
In the field of educational data mining, accurately predicting student performance is vital for
developing effective educational strategies. However, existing methods often fall short in …

Deep Learning-Based Image Compression Using TensorFlow

R Santhosh, A Philip - Available at SSRN 5016790, 2024 - papers.ssrn.com
Image compression is a factor that constitutes web technologies since the modern web
contains lots of high-quality images. This paper discusses the current status of deep learning …

Impact of ChatGPT on Academic Engagement and Personalized Learning among Postgraduate Students˗ A Literature Review

O Khan, F Ullah - Research Journal of Psychology, 2024 - ctr.rjmss.com
As the education technology space continues to evolve, ChatGPT and other AI models are
transforming the manner in which students interact with content, self-growing the mode. This …