A brief introduction on how to use ChatGPT that covers essential dos and don’ts, debunks common myths, and prepares you to use large language models on your own
Wharton Interactive Crash Course: Practical AI for Instructors and Students
In this five-part course, Wharton Interactive's Faculty Director Ethan Mollick and Director of Pedagogy Lilach Mollick provide an overview of AI large langua...
Imagining the Digital Future Reports and Publications - Imagining the Digital Future Center
Report: The Rise of AI Companions The age of companion bots has arrived. Our May 2026 survey found that 27% of U.S. adults who use the internet have significant emotional...
This is a 1 hour general-audience introduction to Large Language Models: the core technical component behind systems like ChatGPT, Claude, and Bard. What the...
AI-maintained guide to open access research, aimed at those who "design courses and learning experiences, develop educational software, administer programs, or study teaching and learning"
A compilation of classroom exercises and assessment techniques for assessing learning in contexts where AI is intentionally used, but also in contexts intentionally excluding AI use.
This open access book provides practical guidance for higher education professionals looking to use Generative Artificial Intelligence (GenAI) technologies. Blending theoretical grounding with real-world examples and case studies, it gives step-by-step guidance on how to evaluate, select, and implement GenAI technologies in teaching, learning, assessment, and student support. It covers topics including automating administrative processes, adapting learning resources, and critiquing outputs. Each chapter includes reflective exercises and further reading lists and shows how AI can enhance accessibility, efficiency, and creativity in higher education. Alongside this, the many challenges and ethical considerations of using AI are introduced, including issues around plagiarism, quality control, and the need to establish governance protocols. The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com. Open access was funded by Lund University.
This open access book provides practical guidance for higher education professionals looking to use Generative Artificial Intelligence (GenAI) technologies. Blending theoretical grounding with real-world examples and case studies, it gives step-by-step guidance on how to evaluate, select, and implement GenAI technologies in teaching, learning, assessment, and student support. It covers topics including automating administrative processes, adapting learning resources, and critiquing outputs. Each chapter includes reflective exercises and further reading lists and shows how AI can enhance accessibility, efficiency, and creativity in higher education. Alongside this, the many challenges and ethical considerations of using AI are introduced, including issues around plagiarism, quality control, and the need to establish governance protocols. The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com. Open access was funded by Lund University.
Student Guide to AI Literacy | Modern Language Association
Read and download the Student Guide to AI Literacy, which outlines the qualities of a literate user of generative AI tools like OpenAI’s ChatGPT and Microsoft Copilot.
Executive SummaryEducational technology, or ed-tech, including artificial intelligence (AI), continues to become more integrated into teaching and research in higher education, with minimal oversight.