The impressive essay writing and problem-solving capabilities of large language models (LLMs) like OpenAI's ChatGPT have opened up new avenues in education. Our goal is to gain insights into the widespread use of LLMs among secondary students to inform their future development. Despite school restrictions, our survey of over 300 middle and high school students revealed that a remarkable 70% of students have utilized LLMs, higher than the usage percentage among young adults, and this percentage remains consistent across 7th to 12th grade. Students also reported using LLMs for multiple subjects, including language arts, history, and math assignments, but expressed mixed thoughts on their effectiveness due to occasional hallucinations in historical contexts and incorrect answers for lack of rigorous reasoning. The survey feedback called for LLMs better adapted for students, and also raised questions to developers and educators on how to help students from underserved communities leverage LLMs' capabilities for equal access to advanced education resources. We propose a few ideas to address such issues, including subject-specific models, personalized learning, and AI classrooms.

翻译：以OpenAI的ChatGPT为代表的大规模语言模型（LLMs）所展现出的卓越论文写作与问题解决能力，为教育领域开辟了新路径。本研究旨在深入理解中学生群体中LLMs的广泛使用现状，以指导其未来发展。尽管学校存在使用限制，我们对300余名初高中学生的调查显示：高达70%的学生曾使用过LLMs，这一比例高于青年群体，且在七至十二年级间保持稳定。学生报告称将LLMs应用于语言文学、历史、数学等多学科作业，但对其效果评价不一——历史背景的偶发性虚构与缺乏严谨推理的错误答案影响了使用体验。调查反馈呼吁开发更适配学生需求的LLMs，同时向开发者和教育者提出关键问题：如何帮助资源匮乏社区的学生利用LLMs实现优质教育资源的公平获取。针对这些问题，我们提出了若干解决思路，包括学科专用模型、个性化学习系统及人工智能课堂等方案。