Generative AI in Education: Harvard's Guide to Teaching and Learning with LLMs

Harvard University has a history of proactively integrating new technologies into its academic environment, spanning both residential and virtual classrooms. The advent of GenAI has been no different, with the university actively encouraging exploration and adaptation. This forward-thinking approach aims to equip faculty and students with the tools and understanding necessary to thrive in an evolving educational paradigm, rather than resisting technological advancements.

Faculty members who have experimented with GenAI tools have shared valuable insights, acknowledging and addressing common concerns such as academic dishonesty and superficial learning. These educators are not only aware of the risks but are actively seeking ways to leverage GenAI to foster more vibrant and effective learning environments. Their experiences have yielded several key learnings that offer a practical roadmap for integrating GenAI into teaching and learning.

Consistent patterns and learnings are emerging from how GenAI is being implemented: * **Beyond Simple Q&A:** Moving past the basic question-and-answer format, LLMs can be used to simulate various personas, enabling students to interact with simulated experts, peers, graders, or even course designers, fostering deeper inquiry and understanding. * **More Than the "First Draft":** GenAI can serve as a powerful tool to augment student creativity rather than compromise it. Faculty are using it to help students refine project prototypes and polish final drafts, enhancing the quality of their work. * **Work Alongside Existing Tools:** Many faculty are integrating LLMs to improve existing teaching and learning workflows. This includes generating course materials, personalizing student feedback, creating assignments, summarizing student responses in real-time, and providing tutoring support. * **Overcoming Hidden Barriers:** GenAI can help bridge skill gaps that might otherwise impede learning. This could involve assisting students with coding for business classes, foreign language acquisition for research, developing art skills for visual aids, or even creating engaging class games.

The integration of GenAI prompts profound questions about the future of education. As we move further into the GenAI era, educators are beginning to envision what a class with GenAI at its core might look like. This evolution inevitably leads to a re-examination of the fundamental role of the teacher in an AI-augmented learning environment. The potential for AI to improve student learning outcomes, increase task efficiency, boost engagement, and enhance confidence is a key area of ongoing research and exploration.

To assist educators in navigating the use of generative AI, a FAQ section addresses common queries: * How can I use generative AI to help prepare my curriculum? * How can I use generative AI to help me teach in the classroom, day to day? * How can I redesign assessments to reduce the misuse of generative AI? * What are the most important risks of using GenAI tools in my classroom? * How do I know whether GenAI is even effective for teaching? * How can I become a GenAI whiz? * What policies should I keep in mind when using LLMs in my classroom? This page will be regularly updated to reflect the rapidly evolving nature of GenAI technology and its applications in education. Additionally, school-based resources and the latest policies are available on each respective school's website.