Artificial general intelligence (AGI) has gained global recognition as a future technology due to the emergence of breakthrough large language models and chatbots such as GPT-4 and ChatGPT, respectively. AGI aims to replicate human intelligence through computer systems, which is one of the critical technologies having the potential to revolutionize the field of education. Compared to conventional AI models, typically designed for a limited range of tasks, demand significant amounts of domain-specific data for training and may not always consider intricate interpersonal dynamics in education. AGI, driven by the recent large pre-trained models, represents a significant leap in the capability of machines to perform tasks that require human-level intelligence, such as reasoning, problem-solving, decision-making, and even understanding human emotions and social interactions. This work reviews AGI's key concepts, capabilities, scope, and potential within future education, including setting educational goals, designing pedagogy and curriculum, and performing assessments. We also provide rich discussions over various ethical issues in education faced by AGI and how AGI will affect human educators. The development of AGI necessitates interdisciplinary collaborations between educators and AI engineers to advance research and application efforts.

翻译：通用人工智能（AGI）因GPT-4和ChatGPT等突破性大语言模型与聊天机器人的出现，已作为未来技术获得全球认可。AGI旨在通过计算机系统复制人类智能，是具备彻底变革教育领域潜力的关键技术之一。相较于传统AI模型（通常局限于特定任务、需大量领域数据训练且未必能兼顾教育中复杂的人际互动），由近期大型预训练模型驱动的AGI在机器执行需要人类智能水平的任务方面实现了重大飞跃，例如推理、问题解决、决策制定，甚至理解人类情感与社会互动。本研究综述了AGI在未来教育中的关键概念、能力、范畴与潜在应用，涵盖教育目标设定、教学法与课程设计、评估实施等维度。我们亦深入探讨了AGI面临的教育伦理问题，以及AGI将如何影响人类教育工作者。AGI的发展需要教育工作者与AI工程师开展跨学科合作，以推进相关研究与应用工作。