Ethical and Moral Challenges and Response Strategies of Large Language Models in the Educational Teaching Process

大语言模型在教育领域的广泛应用推动了教学方式的革新，但也带来了许多道德与伦理挑战。本文分析了大语言模型在教育教学中存在的数据隐私、算法偏见和学术不诚信等问题，探讨了建立伦理框架与监管机制的重要性，并提出了一系列改进措施以确保其安全、合理地应用。通过研究这些问题与对策，本文为推动教育技术的合规性和伦理性提供了理论依据和实践指导。The widespread application of large language models in the field of education has driven innovation in teaching methods, but it has also brought about numerous ethical and moral challenges. This paper analyzes issues such as data privacy, algorithmic bias, and academic dishonesty present in the use of large language models in education. It explores the importance of establishing ethical frameworks and regulatory mechanisms and proposes a series of improvements to ensure their safe and reasonable application. By studying these issues and countermeasures, this paper provides theoretical foundations and practical guidance for promoting the compliance and ethics of educational technology.