The integration of Generative Artificial Intelligence (GAI) and Large
Language Models (LLMs) in academia has spurred a global discourse on their
potential pedagogical benefits and ethical considerations. Positive reactions
highlight some potential, such as collaborative creativity, increased access to
education, and empowerment of trainers and trainees. However, negative
reactions raise concerns about ethical complexities, balancing innovation and
academic integrity, unequal access, and misinformation risks. Through a
systematic survey and text-mining-based analysis of global and national
directives, insights from independent research, and eighty university-level
guidelines, this study provides a nuanced understanding of the opportunities
and challenges posed by GAI and LLMs in education. It emphasizes the importance
of balanced approaches that harness the benefits of these technologies while
addressing ethical considerations and ensuring equitable access and educational
outcomes. The paper concludes with recommendations for fostering responsible
innovation and ethical practices to guide the integration of GAI and LLMs in
academia.

本研究通过系统调查、基于文本挖掘的全球和国家指南、独立研究以及八十所大学层面的指导，提供了对教育中生成式人工智能（GAI）和大型语言模型（LLMs）的机会和挑战进行细致的理解。研究强调了在这些技术的整合过程中平衡方法的重要性，以 harness 利用其技术优势的同时，考虑伦理问题，并确保公平的获取和教育结果。最后，本文提出了促进负责任创新和道德实践，指导将 GAI 和 LLMs 整合到学术中的建议。