Open Educational Resources in Generative Artificial Intelligence

Here is a collection of open educational resources to help you incorporate generative artificial intelligence content into your classes, projects, or research. From articles and webinars to specialized reports and podcast episodes, each resource is designed to inspire innovation and facilitate access to knowledge in this ever-evolving field.

Whether you’re an educator, student, researcher, or decision-maker, explore, download, and share.

«The OECD European Commission Draft AI Literacy Framework»: A comprehensive draft framework outlining key competencies and knowledge areas for AI literacy across educational systems.
«The AI Learning Gap: Ev i dence and Insights from Pearson»: Research report examining the learning gap created by rapid AI adoption and the implications for education and workforce development.
«TeachAI Policy and Guidance Resources»: A curated collection of global policy guidelines, governance models, and implementation resources for AI in education.
«EdTech Hub AI Observatory»: A research-driven hub tracking global trends, evidence, and policy insights on the use of AI in education.
«Artificial Intelligence and Academic Professions»: This report explores the impact of artificial intelligence on academic professions, highlighting faculty concerns and offering recommendations for ethical, transparent, and equitable AI governance in higher education.
The OECD Artificial Intelligence Policy Observatory (OECD.AI): A comprehensive platform that provides policies, data, and analysis to promote trustworthy artificial intelligence, offering access to over 1,000 national AI policies, live data on AI trends, and resources aligned with the OECD AI Principles.
AI Guidance for Schools Toolkit: TeachAI provides a comprehensive toolkit designed to assist educational institutions in developing policies and practices for the responsible and effective integration of AI technologies in schools.
«Higher Education Generative AI Readiness Assessment»: This resource from Educause helps institutions assess their preparedness for strategic AI initiatives, including policies and procedures.
«Co-Designing Ethical AI Product Certifications»: Digital Promise collaborated with educators, experts, and communities to create a new product certification focused on ethically designed AI tools. This approach ensures that AI solutions align with human values, inclusivity, and positive educational impact.
«AI and Open Education for All»: This project exemplifies the responsible and effective use of AI in education, adhering to open education principles and an ethical framework.
«Artificial Intelligence (AI) Glossary for Education»: Understanding AI-specific terminology in education is essential to grasp discussions on policy, ethics, and privacy.
«The Philosophical Glossary of AI»: This resource provides concise, philosophically informed definitions of key concepts in AI. It covers topics such as representation, embodiment and reasoning.
«The Environmental Cost of AI»: This resource highlights the need for immediate action due to the high carbon emissions generated by AI use, an important ethical aspect to consider in its development and implementation.
«Human Flourishing in the Age of Artificial Intelligence»: This resource highlights the need for immediate action due to the high carbon emissions generated by AI use, an important ethical aspect to consider in its development and implementation.
«Ethical Principles of Artificial Intelligence in Education (AIED)»: This resource underscores the relevance of understanding ethics in AI education, a field that requires further exploration.
«Beyond ChatGPT: What if the answer is not artificial intelligence?»: This resource references UNESCO’s “Recommendation on the Ethics of Artificial Intelligence” (2021) as an effort to align AI development with ethical principles.
«It’s time to talk about ethics in Artificial Intelligence»: This resource references UNESCO’s “Recommendation on the Ethics of Artificial Intelligence” (2021) as an effort to align AI development with ethical principles.
«Alarmist Texts on Artificial Intelligence»: This resource references UNESCO’s “Recommendation on the Ethics of Artificial Intelligence” (2021) as an effort to align AI development with ethical principles.
«AI use and data privacy in education with Steven Miller Podcast»: In this EduTrends Podcast episode, Steven Miller, an expert in information systems, discusses AI in the future of education, including data privacy, a crucial aspect of ethical AI use.
«2024 EDUCAUSE AI Landscape Study»: This study explores the experiences and opinions of the higher education community regarding AI, including aspects of strategic planning, policies, and the future of AI in education.
«2024 EDUCAUSE Action Plan: AI Policies and Guidelines»: This study explores the experiences and opinions of the higher education community regarding AI, including aspects of strategic planning, policies, and the future of AI in education.
«Artificial Intelligence and the Future of Teaching and Learning»: This report from the U.S. Department of Education addresses the need for knowledge sharing and policy development for AI in education, recognizing its growing presence in educational technology systems.
«The future of Artificial Intelligence in education in Latin America»: This report by OEI analyzes the possibilities, risks, and limits of AI in education in Latin America, promoting actions that contribute to human development and learning.
«Bringing AI to School: Tips for School Leaders»: This ISTE guide provides school leaders with information and advice on thoughtfully and appropriately addressing AI in their educational communities.
«Artificial intelligence in education» : Through its projects, UNESCO advocates for an AI deployment in education that enhances human capabilities, protects human rights, and fosters effective human-machine collaboration.

«AI-for-Education.org»: A community platform dedicated to ensuring equitable access to AI’s potential in education, offering resources, quality assurance frameworks, and evidence libraries for educators and policymakers.
«AI and Open Education for All»: This project exemplifies the responsible and effective use of AI in education, adhering to open education principles and an ethical framework.
«The Role of Artificial Intelligence (AI) in K-12»: This resource highlights the need to focus on implementing AI in primary education, an area often overlooked in the conversation about AI in education.
«Framework for Accessible and Equitable Artificial Intelligence (AI) in Education»: A practical guide that explores the impact of AI on equity and accessibility within the educational ecosystem, highlighting both its potential benefits and risks.
«GAIDE: A Framework for Using Generative AI to Assist in Course Content Development»: This paper presents a framework for incorporating generative AI in the creation of educational materials. It focuses on enhancing inclusivity and engagement by leveraging AI to design diverse and personalized content.

«2025 Student Guide to Artificial Intelligence»: Developed by Elon University and the American Association of Colleges and Universities (AAC&U), this guide provides practical guidance on responsible AI use in higher education, developing key skills, and preparing for AI-driven careers.
«How AI Is Changing—Not ‘Killing’—College»: Inside Higher Ed article on how students largely believe that generative AI is reshaping, but not devaluing college.
«Living guidelines on the responsible use of generative AI in research»: The European Commission and ERA Forum stakeholders have published living guidelines to promote the responsible use of generative AI in research
«SAIL: Sensemaking AI Learning»: This newsletter explores trends in human and artificial cognition, focusing on how sensemaking and learning are impacted by AI.
«Generative Artificial Intelligence for Education and Pedagogy»: The Cornell University Committee Report on Generative AI examines the opportunities, challenges, and ethical considerations of integrating generative AI into teaching and learning.
«How to Apply Artificial Intelligence in Education?»: This article explores the potential of AI to improve teaching and learning, offering the perspective of a teacher.
AI in Education: Resources for Schools and Educators»: A curated collection of AI-focused resources designed to support educators in integrating artificial intelligence into teaching and learning.
«AI and Open Education for All»: This project exemplifies the responsible and effective use of AI in education, adhering to open education principles and an ethical framework.
«AI and education: guidance for policy-makers»: This project exemplifies the responsible and effective use of AI in education, adhering to open education principles and an ethical framework.
«Teaching Math to My Artificial Intelligence Assistant»: This resource proposes a shift in math education with AI, focusing on developing didactic methods and critical thinking skills.
«Scite: an AI Tool for Science»: This resource introduces an AI tool designed for scientific research, which can help streamline the work of researchers and students.
«The human element amidst the rise of AI with Tomi Kauppinen Podcast»: This EduTrends podcast episode explores AI’s impact on the learning process, emphasizing the importance of the human element in education with AI.
«Exploring Large Language AI Models with Ryan Baker Podcast»: This EduTrends podcast episode discusses the advances and implications of AI language models, including examples like the virtual teaching assistant “JeepyTA.”
«AI, Work and Hyperpersonalized Education with Sebastian Thrun Podcast»: This EduTrends podcast episode explores the concept of hyper-personalization in education through AI, highlighting its potential to create customized learning experiences.
«Understanding Generative AI with Uohna Thiessen Podcast»: This EduTrends podcast episode addresses the educational potential and possible risks of generative AI, such as ChatGPT, providing an overview of its applications in learning.
«AI and Education in the 21st Century with Rose Luckin Podcast»: This podcast episode discusses the current state of AI in education, its future impact, and the importance of preparing society for its integration into daily life.
«Learning analytics, data and AI in education with George Siemens Podcast»: This podcast episode discusses the current state of AI in education, its future impact, and the importance of preparing society for its integration into daily life.
«Shaping the Future of Learning: The Role of AI in Education 4.0: This report from the World Economic Forum examines AI’s potential to benefit educators and students, including learning personalization and the optimization of administrative tasks.
«Artificial Intelligence Revolution in Education: What You Need to Know»: This report from the World Bank explores the latest innovations in AI for education, offering practical solutions for teachers, students, families, and institutions.
«Observatory of Artificial Intelligence in Higher Education»: This report from the World Bank explores the latest innovations in AI for education, offering practical solutions for teachers, students, families, and institutions.
«Use Cases for Generative AI in Education: User Research Report»: This report from the UK government explores possible applications of generative AI in education, focusing on reducing teacher workload and improving educational outcomes.

«Stanford Teaching Commons: Understanding AI Literacy»: A practical guide for educators introducing AI literacy concepts, ethical considerations, and classroom strategies.
«AI for education: Resources and learning opportunities»: Microsoft’s Educator Center offers a collection of resources and training modules aimed at helping educators understand and utilize AI tools to enhance teaching and learning experiences.
«Artificial Intelligence (AI) Glossary for Education»: This glossary provides a foundation for understanding key AI terms, which is essential for developing skills in this field.
«ChatGPT Foundations for K–12 Educators»: The Common Sense Education training resource offers educators a foundational understanding of using ChatGPT in K–12 classrooms.
«Observatory of Artificial Intelligence in Higher Education»: This report from the World Bank explores the latest innovations in AI for education, offering practical solutions for teachers, students, families, and institutions.
«Generative AI for Teachers: Resources»: This guide by Southern Illinois University provides educators with strategies to integrate AI into teaching, focusing on tools for content creation, personalized learning, and classroom engagement.
«GENAI Teaching Resources»: The Faculty Development Center at SUNY New Paltz offers a collection of undergraduate-level assignments aimed at supporting students’ AI literacy.

«Exploring Large Language AI Models with Ryan Baker Podcast»: This EduTrends podcast episode discusses the advances and implications of AI language models, including examples like the virtual teaching assistant “JeepyTA.”
«Assesment and Generative Artificial Intelligence in Higher Education»: This report highlights strategies for using AI in formative assessments and offers case studies from universities adapting to AI’s influence on curriculum and academic integrity.
«How do we respond to generative AI in education?»: This article provides a practical framework for educators to design AI-enhanced learning experiences and assessments.
«The 5-Ps of Jumpstarting Open Assessment Creation with Generative AI»: This presentation offers practical insights for educators to streamline the creation of assessment materials while maintaining academic rigor.
«Developing robust assessment in the light of Generative AI developments»: The report highlights the effectiveness of different assessment types and the challenges of detecting AI-generated answers. This project aims to discover what are the most robust, and easiest, assessment types for learners to answer if they use the assistance of GAI.

«The 2025 AI Index Report from Stanford HAI»: This report provides comprehensive, data-driven reports tracking the development, impact, and global progress of artificial intelligence, aiming to inform policymakers, researchers, and the public.
«Higher Education Generative AI Readiness Assessment»: This resource helps institutions prepare for the future of AI in education, anticipating trends and challenges.
«The Future of Artificial Intelligence in Education in Latin America»: This report analyzes future trends of AI in education in Latin America, exploring its possibilities, risks, and limits.
«Shaping the Future of Learning: The Role of AI in Education 4.0 Reporte»: This report from the World Economic Forum focuses on the role of AI in shaping the future of education, exploring its potential to transform teaching and learning.
«Artificial Intelligence and the Future of Teaching and Learning»: This report from the U.S. Department of Education explores the future of teaching and learning in the context of AI, anticipating its impact on education.