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Marco de competencias para docentes en materia de IA 出版年份: 2025 作者: Fengchun Miao | Mutlu Cukurova 机构作者: 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 出版年份: 2025 作者: Fengchun Miao | Mutlu Cukurova 机构作者: 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. 
AI Competency Framework for Students 出版年份: 2024 作者: Fengchun Miao | Kelly Shiohira 机构作者: UNESCO Artificial intelligence is increasingly integral to our lives, necessitating proactive education systems to prepare students as responsible users and co-creators of AI. Integrating AI learning objectives into official school curricula is crucial for students globally to engage with AI safely and meaningfully.The UNESCO AI Competency Framework for Students aims to help educators in this integration, outlining 12 competncies across four dimensions:- A human-centred mindset- Ethics of AI- AI techniques and applications- AI system designThese competencies span three progression levels:- Understand- Apply- Create The framework details curricular goals and domain-specific pedagogical methodologies.Grounded in the vision of students as AI co-creators and responsible citizens, the publication emphasizes critical judgement of AI solutions, awareness of citizenship responsibilities in the AI era, foundational AI knowledge for lifelong learning, and inclusive, sustainable AI design. 
AI Competency Framework for Students 出版年份: 2025 作者: Fengchun Miao | Kelly Shiohira 机构作者: UNESCO Preparar a los estudiantes para ser ciudadanos responsables y creativos en la era de la IALa inteligencia artificial (IA) está cada vez más presente en nuestras vidas, lo que requiere sistemas educativos proactivos que preparen a los estudiantes para que sean usuarios responsables y cocreadores de la IA. Integrar los objetivos de aprendizaje de IA en los programas de estudio oficiales de las escuelas es fundamental para que los estudiantes de todo el mundo interactúen de forma segura y significativa con la IA.El objetivo del Marco de competencias para estudiantes en materia de IA de la UNESCO es ayudar a los educadores con esta integración, para lo cual describe 12 competencias que atraviesan cuatro dimensiones: una forma de pensar centrada en el ser humano, la ética de la IA, las técnicas y aplicaciones de la IA, la pedagogía de la IA, y la IA para el diseño de sistemas de IA. Estas competencias abarcan tres niveles de progresión: comprender, aplicar y crear. El marco detalla las metas curriculares y las metodologías pedagógicas específicas para cada dominio.Basado en una visión de los estudiantes como cocreadores de IA y ciudadanos responsables, el marco pone énfasis en el juicio crítico de las soluciones de IA, la conciencia de las responsabilidades ciudadanas en la era de la IA, el conocimiento fundacional de la IA para el aprendizaje a lo largo de la vida, y el diseño de IA inclusiva y sostenible. 
AI Competency Framework for Students 出版年份: 2025 作者: Fengchun Miao | Kelly Shiohira 机构作者: UNESCO Préparer les apprenants à devenir des citoyens responsables et créatifs à l’ère de l’IAL’intelligence artificielle (IA) fait tous les jours davantage partie intégrante de nos vies, ce qui implique d’avoir des systèmes éducatifs proactifs en mesure de préparer les élèves et les étudiants à être des utilisateurs responsables et des cocréateurs de l’IA. L’intégration d’objectifs d’apprentissage de l’IA dans les programmes scolaires officiels est essentielle pour que les apprenants du monde entier puissent s’intéresser en toute sécurité et de manière pertinente à l’IA.Le Référentiel de compétences en IA pour les apprenants de l’UNESCO vise à aider les éducateurs dans cette démarche, en décrivant 12 compétences réparties en quatre dimensions, à savoir une perspective centrée sur l’humain, l’éthique de l’IA, les techniques et applications de l’IA, et la conception de systèmes d’IA. Ces compétences se déploient selon trois niveaux de progression : Comprendre, Appliquer et Créer. Le référentiel détaille les objectifs du programme d’études et les méthodes pédagogiques spécifiques au domaine.Fondé sur une vision des élèves et des étudiants considérés comme cocréateurs de l’IA et citoyens responsables, le référentiel met l’accent sur le jugement critique vis-à-vis des solutions d’IA, la prise de conscience des responsabilités citoyennes à l’ère de l’IA, les connaissances fondamentales en matière d’IA pour l’apprentissage tout au long de la vie, ainsi que la conception d’une IA inclusive et durable. 
AI Competency Framework for Teachers 出版年份: 2024 作者: Fengchun Miao | Mutlu Cukurova 机构作者: UNESCO AI processes vast information, generates new content, and helps decision-making through predictive analyses. In education, AI has transformed the traditional teacher–student relationship into a teacher–AI–student dynamic.This shift requires a re-examination of teachers’ roles and the competencies they need in the AI era. Yet, few countries have defined these competencies or developed national programmes to train teachers in AI, leaving many educators without proper guidance.The AI competency framework for teachers addresses this gap by defining the knowledge, skills, and values teachers must master in the age of AI. Developed with principles of protecting teachers’ rights, enhancing human agency, and promoting sustainability, the publication outlines 15 competencies across five dimensions: Human-centred mindset, Ethics of AI, AI foundations and applications, AI pedagogy, and AI for professional learning. These competencies are categorized into three progression levels: Acquire, Deepen, and Create.As a global reference, this tool guides the development of national AI competency frameworks, informs teacher training programmes, and helps in designing assessment parameters. It also provides strategies for teachers to build AI knowledge, apply ethical principles, and support their professional growth. 
International Forum on AI and Education: Steering AI To Empower Teachers and Transform Teaching, 5–6 December 2022; Analytical Report 出版年份: 2023 作者: Fengchun Miao | Kelly Shiohira | Zaahedah Vally | Wayne Holmes 机构作者: UNESCO | JET Education Services The International Forum on AI and Education has contributed ‘to peace and security by promoting collaboration among the nations through education, science and culture’ (UNESCO, 1945). The Forum has now become the world’s leading event promoting knowledge-sharing, the understanding of peoples, and the achievement of international agreements, in the fast-developing and increasingly impactful field of AI and education. The fourth edition of the International Forum on Artificial Intelligence and Education aimed to foster knowledge sharing specifically on how to steer the design and use of AI to empower teachers and to transform teaching methodologies within the broad framework of digital transformation of education. The Forum sought to bring together a range of expertise and experiences across the globe, and, in keeping with UNESCO priorities, a special focus was placed on Africa. A total of 16 national strategies were presented at the Forum by the various national ministers and representatives invited to attend. The national strategies shared during the Forum also unveiled the varying levels of preparedness and policy responses toward AI across different regions, a reminder that the pre-existing digital divide still underpins the system-wide uptake and integration of AI in education. Therefore, not all of the strategies were directly related to or containing AI because some areas that were represented at the conference are still at the nascent stages of AI Strategy development. The presentations of national initiatives and strategies related to AI from these countries shed light on the general awareness of policy-makers on the impact of AI in education and the commitment of national governments to fostering AI competencies among students and teachers. This report focus on the following key themes: national strategies on AI and education; critical reviews of roles of AI in the digital transformation of education; ethical principles and their implementation with a specific focus on gender equality; AI competencies for teachers, and notable algorithms or AI platforms and AI-informed pedagogies. The report concludes with considerations for the future based on the authors’ own analysis of the key role of human teachers, steering the human-centered approach, mainstreaming gender equity, designing education-specific AI models and innovative pedagogy, and ensuring human agency in defining problems and designing solutions.a 
Руководство по использованию генеративного искусственного интеллекта в образовании и научных исследованиях 出版年份: 2023 作者: Fengchun Miao | Wayne Holmes 机构作者: UNESCO Данное руководство направлено на поддержку разработки соответствующих правил, политик и программ развития человеческого потенциала с целью обеспечения того, чтобы генеративный искусственный интеллект (ИИ) стал инструментом, действительно приносящим пользу и расширяющим возможности учителей, учащихся и исследова телей. В нем объясняются методы искусственного интеллекта, используемые в генеративном ИИ, а также приводится список моделей СРТ, которые становятся общедоступными, особенно модели с открытым исходным кодом. Руководство также открывает обсуждение о появлении ЕсІСРТ - моделей генеративного ИИ, обученных на конкретных данных для образовательных целей. Кроме того, в нем суммируются некоторые ключевые противоречия вокруг генеративного ИИ - от ухудшения цифрового неравенства до гомогенизации мнений, от более сложных дипфейков до вопросов авторского права. Исходя из гуманистического подхода, руководство предлагает ключевые шаги по регулированию инструментов генеративного ИИ, включая обязательную защиту конфиденциальности данных и установку возрастных ограничений для самостоятельного взаимодействия с платформами генеративного ИИ. Для обеспечения правильного использования инструментов в сфере образования и исследований, в руководстве затронуты вопросы этики и проектирования педагогического процесса и заложен подход, ориентированный на человека и учитывающий возрастные особенности. 
International Forum on AI and the Futures of Education: Developing Competencies for the AI Era Synthesis Report; 7-8 December 2020 出版年份: 2021 作者: Fengchun Miao | Wayne Holmes 机构作者: 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 出版年份: 2021 作者: Fengchun Miao | Wayne Holmes | Ronghuai Huang | Hui Zhang 机构作者: 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.