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Guidance for Generative AI in Education and Research 발행 연도: 2023 저자: Fengchun Miao | Wayne Holmes 단체 저자: UNESCO This Guidance aims to support the planning of appropriate regulations, policies and human capacity development programmes to ensure that generative artificial intelligence (GenAI) becomes a tool that genuinely benefits and empowers teachers, learners and researchers. It explains the Al techniques used by GenAI and maps out a list of GPT models that are made publicly available, especially those under open-source licences. It also opens a discussion on the emergence of EdGPT - GenAI models that are trained with specific data to serve educational purposes. Furthermore, it summarizes some of the key controversies around GenAI, from worsening digital poverty to the homogenization of opinions, and from deeper deepfakes to issues of copyright. Based on a humanistic vision, the Guidance proposes key steps for the regulation of GenAI tools, including mandating the protection of data privacy and setting an age limit for independent conversations with GenAI platforms. To guide the proper use of the tools in education and research, this Guidance proposes a human-agent and age-appropriate approach to the ethical validation and pedagogical design processes. 
International Forum on AI and the Futures of Education: Developing Competencies for the AI Era Synthesis Report; 7-8 December 2020 발행 연도: 2021 저자: Fengchun Miao | Wayne Holmes 단체 저자: UNESCO This synthesis report has been developed by the UNESCO Unit for Technology and Artificial Intelligence in Education within the Future of Learning and Innovation Team, drawing on the International Forum on AI and the Futures of Education held in Beijing and simultaneously online from 7 to 8 December 2020.The Forum underlined the importance of reviewing the very purpose of education, together with the opportunity for real transformation, and the role that AI might play. It is widely acknowledged that current educational practices and educational environment are very rigid, and that the future of education should be more flexible and responsive to changing circumstances and innovation. National education authorities should identify what skills young people need to enable them to live and thrive in the new realities of a constantly changing world, and what digital transformation makes possible in the national and international context. In short, new education models are needed to put students at the centre, to move away from a focus on memorizing content, to integrate the digital and the analogue, and to foster human cognitive, socioemotional and critical skills, all of which might – with foresight and careful attention – be enabled by AI and other digital technologies. 
AI and Education: Guidance for Policy-Makers 발행 연도: 2021 저자: Fengchun Miao | Wayne Holmes | Ronghuai Huang | Hui Zhang 단체 저자: UNESCO Artificial intelligence (AI) is envisioned as a new tool to accelerate the progress towards the achievement of SDG 4. Policies and strategies for using AI in education are central to maximizing AI’s benefits and mitigating its potential risks. Fostering AI-ready policy-makers is the starting point of the policy development process.This publication offers guidance to policy-makers in understanding AI and responding to the challenges and opportunities in education presented by AI. Specifically, it introduces the essentials of AI such as its definition, techniques, technologies, capacities and limitations. It also delineates the emerging practices and benefit-risk assessment on leveraging AI to enhance education and learning, and to ensure inclusion and equity, as well as the reciprocal role of education in preparing humans to live and work with AI.The publication summarizes three approaches to the policy responses from existing practices: independent approach, integrated approach and thematic approach. In a further step, it proposes more detailed recommendations and examples for planning AI and education policies, aligned with the recommendations made in the 2019 Beijing Consensus on AI and Education. 人工智能与教育: 政策制定者指南 발행 연도: 2021 저자: Fengchun Miao | Wayne Holmes | Ronghuai Huang | Hui Zhang 단체 저자: UNESCO 该文件为政策制定者提供关于人工智能在教育领域内应用于发展的相关知识，包括其定义与技术一级对教学和教育的影响，并为政策制定者提供相关政策建议。 
Guidelines for ICT in education policies and masterplans 발행 연도: 2022 저자: Fengchun Miao | Juan Enrique Hinostroza | Molly Lee | Shafika Isaacs | Dominic Orr | Fabio Senne | Ana-Laura Martinez | Ki-Sang Song | Alexander Uvarov | Wayne Holmes | Benjamin Vergel de Dios 단체 저자: UNESCO Countries across the world have been leveraging information and communication technologies (ICTs) to advance education for decades. These initiatives are driven by public institutions and involve commercial technology companies, and have resulted in paradoxes such as increasing digital inequalities and uneven access to high-quality digital learning opportunities. The COVID-19 crisis further exacerbated this trend: At least one third of students globally did not have access to distance learning during the peak of the COVID-19 crisis in 2020.The publication aims to guide policy-makers to ensure that when adopting technology, human rights should be defended; inclusion, equity and gender equality should be at the heart of solutions; and innovations should be considered as a common good. Based on these principles, the publication presents a human-centred view on the potentials of technologies ranging from low-bandwidth technologies to emerging technologies including Artificial Intelligence and Web 3.0 or “metaverse”. It advocates for national policies to protect the digital well-being of teachers and students, to reduce and neutralize the digital emission footprint, and to avoid ‘techno-solutionism’.This publication proposes policy planning frameworks and an iterative roadmap to examine the digital readiness of local education systems, assess needs of learners and teachers, and plan well-resourced national ICT in education programmes. This is followed by a deep dive into examples of national masterplans on the use of ICT in different types of education. 教育信息化政策和总体规划论纲 발행 연도: 2022 저자: Fengchun Miao | Juan Enrique Hinostroza | Molly Lee | Shafika Isaacs | Dominic Orr | Fabio Senne | Ana-Laura Martinez | Ki-Sang Song | Alexander Uvarov | Wayne Holmes | Benjamin Vergel de Dios 단체 저자: UNESCO 几十年来，全球各国都在尝试利用信息与通信技术（Information and Communication Technologies，ICTs）促进教育发展。这些由公共 机构推动并涉及商业技术公司的行动计划却产生了诸如数字不平等 进一步加剧以及高质量数字学习机会不均衡等矛盾。新冠疫情危机 加剧了这一趋势：在2020年新冠疫情危机最严峻的时期，全球至少 三分之一的学生无法获得远程教育。本出版物旨在引导政策制定者在采用技术时提供人 权保障；将包容、公平和性别平等视为解决方案的 核心；将技术创新视为共同利益。 基于以上原则， 本出版物采用以人为本的视角， 审视从低带宽技术到人工智能和互联网3.0或“元宇宙”等新兴技术的潜能。本出版物倡导国家政策应保护教师和学生的数字健康， 减少和中和数字碳排放足迹，并避免“技术解决方案主义”。本出版物提出了一个教育信息化政策规划框架以及 迭接式政策规划路线图，以引导对各地教育系统的数字化准备状态 的评估、对学习者和教师的需求分析，进而规划有充足的配套资源 支持的国家教育信息化方案。随后，本出版物还深入剖析了在教育 的不同领域实施教育信息化的国家总体规划的典型范例。 
Marco de competencias para docentes en materia de IA 발행 연도: 2025 저자: Fengchun Miao | Mutlu Cukurova 단체 저자: UNESCO Orientación para docentes sobre el uso y el mal uso de la IA en la educaciónLa IA procesa enormes cantidades de información, genera nuevos contenidos y ayuda a la toma de decisiones mediante análisis predictivos. En el ámbito educativo, la IA ha transformado la relación tradicional docente-estudiante, creando una nueva dinámica docente-IA-estudiante. Este cambio exige replantear los roles de los docentes y las competencias que necesitan en la era de la IA. Sin embargo, son pocos los países que han definido estas competencias o desarrollado programas nacionales para capacitar a los docentes en IA, lo que deja a muchos educadores sin una orientación adecuada.El Marco de competencias en materia de IA para docentes aborda esta brecha al definir los conocimientos, habilidades y valores que los docentes deben dominar en la era de la IA. Desarrollada bajo los principios de protección de los derechos de los docentes, del fortalecimiento de la capacidad de acción humana y de la promoción de la sostenibilidad, la publicación describe 15 competencias que atraviesan cinco dimensiones: una forma de pensar centrada en el ser humano, la ética de la IA, los fundamentos y aplicaciones de la IA, la pedagogía de la IA, y la IA para el aprendizaje profesional. Estas competencias se clasifican en tres niveles de progresión: adquirir, profundizar y crear.Como una referencia global, esta herramienta orienta el desarrollo de marcos nacionales de competencias en IA, brinda insumos para los programas de formación docente y ayuda a diseñar parámetros de evaluación. También ofrece estrategias para que los docentes desarrollen conocimientos sobre IA, apliquen principios éticos y apuntalen su crecimiento profesional. 
Référentiel de compétences en IA pour les enseignants 발행 연도: 2025 저자: Fengchun Miao | Mutlu Cukurova 단체 저자: UNESCO Guider les enseignants à propos de l’usage judicieux ou problématique de l’IA en éducationL’intelligence artificielle (IA) traite une grande quantité d’informations, génère de nouveaux contenus et aide à la prise de décision grâce à des analyses prédictives. Dans le domaine de l’éducation, l’IA a transformé la relation traditionnelle entre l’enseignant et l’apprenant en un triptyque dynamique entre l’enseignant, l’IA et l’apprenant. Cette évolution exige de repenser le rôle des enseignants et les compétences dont ils ont besoin à l’ère de l’IA. Pourtant, peu de pays ont défini ces compétences ou élaboré des programmes nationaux pour former les enseignants à l’IA, ce qui prive de nombreux éducateurs d’un cadre adéquat.Le Référentiel de compétences en IA pour les enseignants comble cette lacune : il définit les connaissances, les habiletés et les valeurs que les enseignants doivent maîtriser à l’ère de l’IA. Élaborée dans le respect de la protection des droits des enseignants, de l’accroissement de l’agentivité humaine et de la promotion de la durabilité, la publication présente 15 compétences réparties en cinq composantes : une approche de l’IA centrée sur l’humain, l’éthique de l’IA, les fondements et les applications de l’IA, la pédagogie de l’IA et l’IA pour l’apprentissage professionnel. Ces compétences sont classées selon trois niveaux de progression : acquérir, approfondir, créer.En tant que référence internationale, cet outil sert de guide pour l’élaboration de référentiels nationaux de compétences en IA, apporte des informations sur les programmes de formation des enseignants et aide à définir des paramètres d’évaluation des apprentissages. Il fournit également aux enseignants des stratégies pour développer leurs connaissances en matière d’IA, respecter des principes éthiques et soutenir leur développement professionnel.