CRAFT is a collaboration with the Graduate School of Education and Institute for Human-Centered AI. CRAFT is a collection of co-designed free AI Literacy resources about AI for high school teachers, to help students explore, understand, question, and critique AI. CRAFT intentionally pursues a multidisciplinary approach so educators with a variety of discipline backgrounds can teach about AI.
This website hosts a continuously growing collection of free and adaptable instructional resources to facilitate instruction within the nooks and crannies of your teaching. You can integrate a small activity or tool, or follow a multi-day series of lessons.
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RAISE (Responsible AI for Social Empowerment and Education) is a new MIT-wide initiative headquartered in the MIT Media Lab and in collaboration with the MIT Schwarzman College of Computing and MIT Open Learning.
In the face of this accelerating change, our research and impact mission is to advance equity in learning, education and computational action to rethink and innovate how to holistically and equitably prepare diverse K-12 students, an inclusive workforce, and lifelong learners to be successful, responsible, and engaged in an increasingly AI-powered society.
Machine Learning for Kids
https://machinelearningforkids.co.uk/
AI for Kids (India)
https://aiforkids.in/
BSKAP Kemendikdasmen (Feb 2025)
UNESCO (2022)
UNESCO (2024)
The AI competency framework for students is designed to guide policy-makers, educators and curriculum developers in equipping students with the necessary skills, knowledge and values to engage with AI effectively. It focuses on four core competencies:
A human-centred mindset: Encouraging students to understand and assert their agency in relation to AI.
Ethics of AI: Teaching responsible use, ethics-by-design and safe practices.
AI techniques and applications: Providing foundational AI knowledge and skills.
AI system design: Fostering problem-solving, creativity and design thinking.
The framework encourages integrating AI-related topics into core subjects across the curriculum, emphasizing interdisciplinary learning in both STEM and the social studies.
UNESCO (2024)
The AI competency framework for teachers is focused on lifelong professional development for teachers, offering a reference framework for national competency development and training programmes. It aims to ensure that teachers are equipped to use AI responsibly and effectively while minimizing potential risks to students and society. The five key competency areas are:
A human-centred mindset: Focusing on human agency, accountability and social responsibility.
Ethics of AI: Promoting ethical principles and responsible use.
AI foundations and applications: Providing the knowledge, understanding and skills needed to create and use AI.
AI pedagogy: Supporting teachers in leveraging AI for innovative teaching methods.
AI for professional development: Outlining teachers’ capacities to leverage AI for driving their own lifelong professional development.
The framework emphasizes that AI tools should complement, not replace, the vital roles and responsibilities of teachers in education.
Terdapat 2 Pedoman yang dikeluarkan oleh Kementerian Pendidikan RRC (tgl 12 Mei 2025), masing-masing dilengkapi dengan terjemahan kasar ke Bahasa dan English :
Pedoman tentang Pendidikan Umum AI (AI Litercay) untuk sekolah dasar dan menengah
Pedoman tentang Penggunaan GenAI untuk sekolah dasar dan menengah
Gunakan Tab dalam gdocs tersebut untuk berpindah antar 2 pedoman tersebut.
Paul Curzon, Peter McOwan and Jonathan Black
José Antonio Bowen and C. Edward Watson
David Baum
Shuchi Grover (2024)
Jiachen Song, Linan Zhang, Jinglei Yu, Yan Peng,
Anyao Ma, Yu Lu (2022)
David Touretzky, Christina Gardner-McCune,
Fred Martin, Deborah Seehorn (2019)