Generative Artificial Intelligence for Future Education: Current Research Status, Hot Spots, and Research Trends

Generative artificial intelligence (GenAI), leveraging deep learning techniques such as neural networks, is revolutionizing education. This study explores the current research status, key areas, and emerging trends by analyzing 2,856 papers from 2014 to 2023 using CiteSpace software. Key findings reveal that: 1. The focus of GenAI research has shifted towards large language models, such as ChatGPT, especially since 2022. 2. Major research contributions come from China, the U.S., and South Korea, with China leading in institutional involvement. 3. Research trends indicate growing interest in AI applications for immersive education, deep learning models, and medical education. 4. Ethical considerations and data processing methodologies, including anomaly detection and data augmentation, are crucial emerging topics in the field. This paper outlines the most active research clusters and provides future directions for interdisciplinary applications and ethical AI.