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：人工通用智能（AGI）因GPT-4和ChatGPT等突破性大语言模型及聊天机器人的涌现，已成为全球公认的未来技术。AGI旨在通过计算机系统复制人类智能，是有潜力彻底改变教育领域的关键技术之一。相较于通常仅适用于有限任务范围、需要大量领域特定数据进行训练且未必考虑教育中复杂人际动态的传统AI模型，由近期大规模预训练模型驱动的AGI代表了机器执行需要人类级别智能任务（如推理、问题解决、决策制定乃至理解人类情感与社会互动）能力的重大飞跃。本文综述了AGI在未来教育中的核心概念、能力范畴与潜力，涵盖教育目标设定、教学法与课程设计以及评估实施等方面。我们还就AGI面临的各种教育伦理问题及其将如何影响人类教育工作者进行了丰富的讨论。AGI的发展需要教育工作者与AI工程师之间的跨学科合作，以推进相关研究与应用工作。