Large language models for education: A survey and outlook
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 …
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
Personalized education, tailored to individual student needs, leverages educational
technology and artificial intelligence (AI) in the digital age to enhance learning effectiveness …
technology and artificial intelligence (AI) in the digital age to enhance learning effectiveness …
Edugraph: Learning path-based hypergraph neural networks for mooc course recommendation
In online learning, personalized course recommendations that align with learners'
preferences and future needs are essential. Thus, the development of efficient recommender …
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 …
effectiveness is undermined by low completion rates. Traditional dropout prediction models …
Evolutionary Reinforcement Learning: A Systematic Review and Future Directions
In response to the limitations of reinforcement learning and evolutionary algorithms (EAs) in
complex problem-solving, Evolutionary Reinforcement Learning (EvoRL) has emerged as a …
complex problem-solving, Evolutionary Reinforcement Learning (EvoRL) has emerged as a …
Framelet-based dual hypergraph neural networks for student performance prediction
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 …
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 …
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 …
transforming the manner in which students interact with content, self-growing the mode. This …