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Newsletter#23: Teaching with AI: Resources for Higher Education
Teaching with AI: Resources for Higher Education
Claude for Education made its debut on April 2—and it’s here to make a difference. Specially designed for colleges and universities, this version of Claude brings a fresh and exciting way for educators to enhance teaching and learning in the classroom.
Image from Claude for Education News
In this issue, we will guide you through these valuable AI resources aimed at improving teaching quality and student learning outcomes.
1. Harvard’s AI Resources - Shaping the Future of Learnin
Generative AI @ Harvard
As one of the world’s leading academic institutions, Harvard University has consistently remained at the forefront of research and application in the field of AI. Generative AI @ Harvard offers a wealth of valuable resources and practical references for faculty members.
Website: https://www.harvard.edu/ai/
Image from Generative AI @ Harvard
For instance, the Teaching with Generative AI section features a System Prompt Library offering prompts that can be directly applied in daily work.
Image from System Prompt Library

Quiz Creator is used as an example to illustrate the steps for using these prompts (see figure below). Navigate to the System Prompt Library - Prompt - Teaching Activities, and locate Quiz Creator on the page. The page provides a brief introduction to the suitable use cases for this prompt, as well as its Goals, Structure, Prompt, and References.
Image from System Prompt Library - Quiz Creator
AI @ Harvard
The Faculty section on AI @ Harvard showcases a collection of AI projects currently being undertaken by Harvard faculty members from various colleges. This section serves as an inspiring resource, encouraging you to apply AI technology within your own disciplines and expand the depth and scope of your teaching content.
Website: https://www.harvard.edu/ai/ai-at-harvard/
Image from AI @ Harvard
2. Empowering Educators with MIT Open Learning AI Resource
An MIT Exploration of Generative AI
MIT promotes the responsible and publicly beneficial use of technology, informs public discourse, and fosters wise, forward-thinking policy. In fall 2023, MIT awarded seed grants to 27 faculty members to explore how generative AI is reshaping the way we live and work. The outcome—25 thought-provoking papers now available on MIT’s official website—dives into pressing questions and challenges across a broad spectrum of fields, including healthcare, finance, climate, education, manufacturing, and music.
Website: https://mit-genai.pubpub.org/
Image from An MIT Exploration of Generative AI
The website has organized these papers into the following eight sections to help you quickly find topics that interest you. This collection offers a glimpse into some of MIT’s most brilliant minds at work, merging new ideas across fields, departments, and schools. By sharing their work, MIT hopes it will serve as a springboard for further research, study, and conversation about how humanity can build a successful AI future together as a society.
Image from An MIT Exploration of Generative AI
MIT Open Learning
Image from MIT Open Learning
MIT Teaching + Learning Lab
Image from MIT Teaching + Learning Learning


Image from MIT Teaching + Learning Lab (on the left),
Incorporating AI in Teaching: Practical Examples for Busy Instructors (on the right)
The site also addresses ethical considerations, promoting responsible AI use. With actionable advice and resource links, it helps educators adopt AI effectively to improve teaching and student engagement while maintaining academic integrity and privacy standards.
3. OpenAI Academy
A wide range of educational resources is available through the OpenAI Academy. The official website is mainly divided into two major sections. In the activity section, booking appointments for topics you are interested in to gain a deeper understanding of AI in educational practice. In the content section, related articles can be found under the “Popular Topics” on the right—specifically under the hashtag #Higher Education, as shown in the figure.
Website: https://academy.openai.com/

Image from OpenAI Academy
References:
1. Generative AI @ Harvard. (2025, January 27). https://www.harvard.edu/ai/
2. Ai @ Harvard. (2024, June 26). https://www.harvard.edu/ai/ai-at-harvard/
3. An MIT Exploration of Generative AI. (n.d.). https://mit-genai.pubpub.org/
4. MIT Open Learning. Massachusetts Institute of Technology. (n.d.). https://openlearning.mit.edu/
5. MIT Teaching + Learning Lab.Massachusetts Institute of Technology. (n.d.). https://tll.mit.edu/
6. OpenAI Academy. OpenAI. (n.d.). https://academy.openai.com/
Author: Duo (Dolores) Liu
Chief Editor: Yirui (Sandy) Jiang