AI in STEM Education: Harnessing AI’s Power and Potential
Oct 28, 2025 10:00AM—12:00PM
Location
Virtual
Cost Early Bird Pricing for Members (available until October 8) $345 members; $290 group-rate 3+; $550 non-members
Categories AI Programs, Curriculum & Pedagogy, Intensive, Online, Teachers
Do you work at an independent school outside of California? Click here for a discount on our non-member registration!
ABOUT THIS VIRTUAL INTENSIVE
This intensive will provide participants with the opportunity to experiment with AI models using curated prompts, revealing both the power and potential issues with these tools. Together, we will examine best practices in a world where AI will soon be used to make major scientific discoveries.
We have all seen how AI Large Language Models excel at generating text, simultaneously creating new opportunities for previously impossible classroom experiences as well as unprecedented ease of student access to possibilities for academic dishonesty. A common topic in this problem space is the notion of AI “hallucinating” inaccuracies in order to satisfy users.
Understandably viewed as a problem with the technology, key questions arise when specifically brought into STEM classrooms:
- Can AI tools be useful within science, engineering, and math classrooms, where objective scientific facts govern and logical reasoning dominates?
- Have AI tools been improved to hallucinate less frequently, less intensely, or less confidently?
- Are some models more trustworthy than others, and can any of them be ethically used in pursuit of STEM-based studies?
- What best user practices exist to mitigate hallucination?
- How can we view these imperfect AI models as tools to grow our students’ critical thinking skills?
Participants will:
- Gain a stronger understanding of the rapidly changing landscape around AI accuracy and how AI may soon be a vital component for scientific and mathematical discoveries
- Explore a number of AI-based tools and their capabilities through curated prompts and explorations
- Practice using these tools, prompting them skillfully to ensure accurate results
- Gain the necessary fluency with these tools in order to more confidently welcome student use
AUDIENCE
Science and Math teachers who want to know what AI can do to enhance teaching and learning in their classrooms.
ABOUT THE FACILITATORS
Josh Lake is a science educator and the Director of Technological Innovation at Pomfret School, where he has taught for over twenty years. He holds a master’s degree in Learning and Knowledge Management Systems from RIT and has long championed the thoughtful integration of emerging technologies into the classroom. A leader in ethical AI education, Josh teaches the skillful use of machine learning models within his astronomy and coding curriculum and works closely with both students and faculty to promote responsible, informed AI use. In 2024, he launched Codes Against Academy, a card-based discussion tool now used in schools and conferences nationwide to foster critical conversations about AI and ethics. Josh also leads the AI division of the Grauer Summer Institute and is a member of the leadership circle of the Interschool AI Co-Lab, an international community of educators advancing AI literacy in education.
Nick Zufelt is a Computer Science Instructor at Phillips Academy Andover. With a deep interest in pedagogy and practice, he led his school’s overhaul of their Computer Science course offerings, a three-year project culminating in a skills-first, highly differentiated curriculum. This effort was supported by his development of a new holistic system of “Revision-Based Grading”. He has unofficially led the efforts on his campus to grow both student and faculty AI literacy through presentations to departments and student groups, and has presented at several AI-in-education conferences. He is a Founding Member and serves as Director of Pedagogy Design of the AI Co-lab, a professional community of over 400 educators from over 60 schools who meet regularly to work through a growing collection of focused AI “explorations”, several of which he helped craft. His work embodies a commitment to responsible, forward-thinking pedagogy. Nick has a B.A./M.A. from SUNY Potsdam and a Ph.D. from The University of Texas at Austin.
Cancellation Policy
Life happens. We understand that there will be times when you cannot attend a workshop that you have registered and paid for. We strive to be as helpful and flexible as possible when things out of your control happen. Please visit our FAQ page for detailed information about our cancellation policy and answers to frequently asked questions about enrollment and membership.