Introduction
AI is rapidly transforming education, presenting both exciting opportunities and significant challenges. This collection features a curated selection of blogs, newsletters, research articles, essays, and podcasts, all from educators and experts deeply engaged with the evolving role of AI in teaching and learning.
These resources offer a range of perspectives, from practical guidance on using AI tools in the classroom to thought-provoking reflections on ethical and pedagogical implications. Whether you're exploring AI literacy, the potential of generative AI, or its applications in instructional design, there's something here to spark your curiosity and inform your practice.
Frameworks & Reports
Michelle Kassorla, Maya Georgieva, and Allison Papini
Why you might like it
This report provides a structured AI literacy framework for students, faculty, and staff in higher education. It includes competency tables tailored for different audiences, covering fundamentals, application, and hands-on experience with AI tools.
AI in L&D: Intention and Reality
Donald H. Taylor and Eglė Vinauskaitė
Why you might like it
This research surveyed 420 L&D professionals across 50+ countries to assess how AI is currently being used in learning and development. It reveals a major gap between intention and practical adoption, illustrated through the \"Immaturity Model\".
DEC AI Literacy Framework
Digital Education Council
Why you might like it
Organized around five dimensions (Data, Critical Judgment, AI Use, Human-AI Collaboration, and Expertise), this framework scaffolds AI understanding across multiple stages of development. Suitable for learners of all ages.
Open University Learning Design Initiative
Why you might like it
This framework encourages critical thinking about AI's societal impacts, focusing on equity, ethics, and creativity, beyond technical understanding. Great for educators wanting to foster critical digital citizenship.
Campus AI Exchange
Campus AI Exchange
Why you might like it
A collaborative repository of case studies, strategies, and curated tools for using AI in higher education. The site helps educators and institutions navigate real-world applications and share evolving best practices.
OECD AI Literacy Framework
OECD
Why you might like it
A globally recognized framework that blends technical literacy with critical social understanding of AI. Useful for educators and policymakers seeking broad, ethical AI literacy standards.
Research Papers
AI Tutoring Outperforms Active Learning
Gregory Kestin, Kelly Miller, Anna Klales, Timothy Milbourne, and Gregorio Ponti
Why you might like it
This study found that students learn more than twice as much in less time when using an AI tutor compared to an active learning classroom setting. The AI tutor, designed with pedagogical best practices in mind, provides personalized feedback and allows for self-pacing, leading to increased engagement and motivation among students. The study suggests that AI tutors have the potential to revolutionize education by offering a scalable and accessible platform for personalized learning experiences.
How University Students Use Claude
Anthropic
Why you might like it
This research report shares insights from over 300 university students who used Claude in their academic lives. It explores when and how students turn to AI tools and what features matter most to them, offering real-world context for classroom and policy discussions.
Wrestling with A.I.
Catherine J. Denial
Why you might like it
This essay by Catherine J. Denial explores the ethical and pedagogical implications of integrating generative AI, such as ChatGPT, into higher education.
Jeff Rickel
Why you might like it
This paper by Jeff Rickel advocates for the use of intelligent virtual agents (IVAs) within interactive virtual worlds as a powerful tool for experiential learning.
Embrace, Don't Avoid: Reimagining Higher Education with Generative Artificial Intelligence
Teuku Rizky Noviandy, Aga Maulana, Ghazi Idroes, Zahriah Zahriah, Maria Paristiowati, Talha Emran, Mukhlisuddin Ilyas, and Rinaldi Idroes
Why you might like it
This research review from the Journal of Educational Management and Learning examines the potential of generative artificial intelligence (AI) to revolutionise higher education. The authors explore both the benefits and challenges of integrating generative AI, including its capacity for personalised learning, advancements in research efficiency, and improvements in administrative processes. However, they also highlight crucial ethical considerations, such as bias, data privacy, and academic integrity.
Podcasts & Talks
Bonni Stachowiak with guest Maha Bali
Why you might like it
This episode of Teaching in Higher Ed discusses cultivating critical AI literacies, exploring how educators can help students develop a nuanced understanding of AI tools and their implications.
GenAI: A Sea Change in Teaching and Learning
Lucas Wright
Why you might like it
In this keynote address, Wright advocates for critical GenAI literacy, emphasizing the importance of understanding AI's architecture, mastering effective prompting techniques, and acknowledging its limitations, biases, and environmental impact. Although this was only a 45-minute talk, I found a lot of thoughtful takeaways.
I also recommend following Wright on LinkedIn for more insights on GenAI in academia.
Courses & Training
GenAI Quickstart: Foundations for Faculty
McGill and Concordia Universities
Why you might like it
This self-paced course helps faculty raise their knowledge and skills in GenAI. Module topics include potential uses for GenAI in teaching and learning, responsible use considerations, and privacy and security considerations.
Op-Eds & Commentary
The Chronicle of Higher Education
Why you might like it
This commentary argues that AI literacy should be a fundamental outcome of higher education, offering compelling insights into what students need to know to participate fully in a society shaped by AI technologies.
I continually update this collection as I discover new resources. If you know of other valuable resources on AI in education that should be included here, please let me know.