2026 AI Educator Summer Institute

This session equips educators to address key limitations of AI tools, including bias and hallucination, often caused by reliance on uncontrolled or unreliable sources. It provides participants with the knowledge and hands-on experience needed to guide AI toward generating insights from curated, reliable, and controlled resources.    Participants will begin by comparing open- and closed-source AI tools, developing a clear understanding of their strengths, limitations, and appropriate use cases. They will then explore two project examples created with a closed-source platform such as Google NotebookLM, examining how these models can be adapted for technology and engineering classroom contexts. Next, participants will develop their own project and resource library on a topic of personal or curricular relevance, emphasizing organization, content curation, and instructional design. By the end of the session, educators will leave with a project in progress and a practical framework for selecting and applying AI tools in teaching.