本文讨论了大规模语言模型（Large Language Models，LLMs）在现代教育转型中的影响和对策。首先，描绘了LLMs的基本特征和技术细节，并强调了其在教育中的价值，包括提高教育质量、促进教育公平和改变教师的角色。其次，指出了在实施过程中可能面临的挑战，如数据安全与隐私、技术的可靠性和有效性、技术普及与教育公平性、伦理问题、教师角色的转变和能力提升以及学生的技术依赖和心理健康，对于这些挑战，提出了一些解决办法和建议。最后，展望了未来的研究方向，包括进一步研究LLMs在不同教育领域和环境下的应用效果，关注模型的适应性和局限性，并探索将人工智能技术与教育实践相结合的创新方式，以推动教育科技的创新和发展。总体而言，本文旨在充分认识到LLMs在现代教育中的潜力和挑战，并提供有效的解决方案，以确保其健康、可持续发展，为现代教育的转型提供强有力的支持。
This article discusses the impacts and strategies of Large Language Models（LLMs） in the context of the modern education transformation. Firstly，the article outlines the fundamental characteristics and technical details of LLMs，emphasizing their value in education，including enhancing educational quality，promoting educational equity，and reshaping the role of educators. Subsequently，the article highlights potential challenges in their implementation，such as data security and privacy，technological reliability and effectiveness，technology accessibility and educational equity，ethical concerns，the transformation and upskilling of educators，as well as students’ technological dependency and mental well-being. The article proposes solutions and recommendations for these challenges. Lastly，the article envisions future research directions，encompassing further exploration of LLMs’ application effects in diverse educational domains and settings，focusing on model adaptability and limitations，and exploring innovative ways to integrate artificial intelligence technology with educational practices to drive innovation and development in educational technology. Overall，the article aims to comprehensively recognize the potential and challenges of LLMs in modern education，and provide effective solutions to ensure their healthy and sustainable development，offering robust support for the transformation of contemporary education.
