AI in Education

We are now offering office hours for AI in Education at HMS which you can schedule here.


Video Resources

  • Wharton Interactive Crash Course: Practical AI for Instructors and Students:
    • Presenters: Faculty Director, Ethan Mollick, and Director of Pedagogy, Lilach Mollick, from Wharton Interactive
    • Content: A five-part course providing an overview of AI large language models for educators and students, including how to effectively integrate personal expertise with these models, use AI to enhance teaching, and improve student learning with example prompts and guidelines.


  • A Hacker’s Guide to Large Language Models:
    • Presenter: Jeremy Howard, co-founder of and creator of the ULMFiT approach on which all modern language models (LMs) are based
    • Content: An exploration of the landscape of Large Language Models (LLMs). Jeremy starts with foundational concepts discussing the mechanism of ChatGPT, the various use cases, and hands-on tips. The video also provides expert guidance on advanced strategies for model testing and optimization, utilizing tools like GPTQ and Hugging Face Transformers.



Additional Resources

  • HMS Lecture on Use of AI Tools:
    • Presenters: Dr. Chris Magnano and Dr. Robert Gentleman, Center for Computational Biomedicine
    • Content: Lecture slides for HMS Faculty on methods and considerations for incorporating AI into their instruction.


  • One Useful Thing, How I Use AI To Do Stuff:
    • Author: Ethan Mollick, Professor of Management at Wharton
    • Content: Written for Professor Mollick’s blog, One Useful Thing, which examines the impact of artificial intelligence on work and education.



  • Teaching with AI, OpenAI:
    • Content: A guide for teachers using ChatGPT in the classroom, including suggested prompts, explanations of how ChatGPT works, its limitations, the efficacy of AI detectors, and bias.



  • AI Pedagogy Project, Harvard University:
    • Content: A curated collection of classroom assignments designed to facilitate critical discussions about AI among students and educators. It serves as an open repository of assignments, activities, and prompts designed to bridge the gap between technical and non-technical fields, encouraging a multidisciplinary approach to understanding AI’s capabilities, limitations, and ethical considerations.



The resources and content provided on this page are intended for educational purposes, aiming to facilitate the integration of AI and Machine Learning tools in teaching and learning environments. While we strive to curate high-quality and relevant materials, the field of AI is continually evolving, and the effectiveness of these tools can vary based on numerous factors.

Please note that the inclusion of any resource, tool, or piece of content on this page does not constitute an endorsement by our organization. Educators, students, and other users are encouraged to critically evaluate each resource and consider its applicability to their specific context and needs.

The responsibility for complying with any applicable laws, policies, and ethical guidelines related to the use of AI in education rests with the individual user. We urge users to consult with their institution’s IT and legal departments, as well as any relevant ethical review boards, to ensure that their use of AI tools adheres to all required standards and best practices.

Content and resources linked from this page are subject to the terms and conditions of their respective owners, and any questions or concerns related to a specific resource should be directed to the original provider.