2026 AI Educator Summer Institute

As a teacher, you are one of the most powerful forces shaping the next generation of entrepreneurs, problem-solvers, and community leaders. This presentation is designed to introduce AI for business concepts to teachers as a resource to create a community-centered evening event. By understanding how AI is being used in actual small businesses today, you will gain fresh, relevant, and adaptable concepts to bring business education to life for your students and their communities and how to invite the community's business leaders into your school for a student-led AI night. 

Explore five ways to introduce and expand integrated A.I. instruction in your K-5 classroom. We will explore how to help students understand important themes about A.I., including ethics, policy, and how A.I. works (it is not your friend!). Then we will explore tools and resources that will aid you in bringing A.I. into your existing lessons in engaging ways without disrupting your flow or time constraints. You will leave with at least one (hopefully more!) idea to use this fall in their classrooms.

This session will engage participants in the development of a cross-disciplinary data science course aimed at students and teachers with no prior coding background. It introduces the fundamentals of Data Science across subject areas with an introduction of Python and  with Jupyter notebooks. This session will challenge participants to imagine an introductory CS course that cuts across all subjects and can be taught by someone from any department with a little motivation. All backgrounds, subject areas, and skill-levels welcome.

This session will engage participants in the development of a cross-disciplinary data science course aimed at students and teachers with no prior coding background. It introduces the fundamentals of Data Science across subject areas with an introduction of Python and  with Jupyter notebooks. This session will challenge participants to imagine an introductory CS course that cuts across all subjects and can be taught by someone from any department with a little motivation. All backgrounds, subject areas, and skill-levels welcome.

In the afternoon session we will focus on 3 modules that can be adapted to create a Student – Led AI School to Community Event for your school. You will leave with a plan for creating an AI community night at your school. 

Referencing what we explored in the morning session #14, attendees will dig into the tools and resources to curate, create, or adapt at least one (hopefully more!) complete plan that is aligned to their standards and instructional materials that they can use this fall in their classrooms.

*This is a cohort session. All participants who attend the morning session are invited to attend an accompanying afternoon expansion pack session each afternoon this week to apply your morning learning to the Special Education classroom.*

The 3-hour afternoon workshop gives participants dedicated creation time to apply the morning's framework to real materials from their own classrooms. It is structured as a creation studio rather than a continuation of the lecture.

Hour 1 (1:00–2:00) — Identify and Design: Participants select one real instructional challenge. A lesson that needs differentiation, a text that needs to be adapted for a lower reading level, an assessment that needs scaffolding, or a documentation task they want to streamline. Small groups form around shared challenges. Special educators learn as much from each other as from any presenter. Introduction to the creation workflow: original material → AI prompt → draft → critical review → revision.

Break (2:00–2:15)

Hour 2 (2:15–3:15) — Create: Hands-on creation using Gemini and NotebookLM. Facilitator circulates with targeted coaching. Structured peer feedback in pairs: Does this serve the student? What did the AI miss that a human expert would catch? What needs to be fixed before this goes near a classroom?

Hour 3 (3:15–4:00) — Share, Critique, and Plan: Small group shares. Not just "look what I made" but "here's what the AI got wrong and how I fixed it." Whole-group reflection on AI as a tool for inclusive practice versus a shortcut that bypasses expertise. Individual action planning to identify one specific thing I will try with students in fall 2026.

Participants leave with a real, usable adapted resource and a realistic, critical framework for continuing independently.

Now that participants understand the goal and exciting potential of this course, we will start exploring the design and content of the course. In the first part of the workshop we will do a group data science activity to get used to Jupyter Notebooks and Python. In the second part of the workshop attendees will be given time to explore resources and build their own lesson in a chosen disciplinary area with the aim of building a library of activities across disciplines that could be used by this introductory course for teachers across the state. 

In the afternoon session we will focus on 3 modules that can be adapted to create a Student – Led AI School to Community Event for your school. You will leave with a plan for creating an AI community night at your school. 

Referencing what we explored in the morning session #14, attendees will dig into the tools and resources to curate, create, or adapt at least one (hopefully more!) complete plan that is aligned to their standards and instructional materials that they can use this fall in their classrooms.

*This is a cohort session. All participants who attend the morning session are invited to attend an accompanying afternoon expansion pack session each afternoon this week to apply your morning learning to the Special Education classroom.*

The 3-hour afternoon workshop gives participants dedicated creation time to apply the morning's framework to real materials from their own classrooms. It is structured as a creation studio rather than a continuation of the lecture.

Hour 1 (1:00–2:00) — Identify and Design: Participants select one real instructional challenge. A lesson that needs differentiation, a text that needs to be adapted for a lower reading level, an assessment that needs scaffolding, or a documentation task they want to streamline. Small groups form around shared challenges. Special educators learn as much from each other as from any presenter. Introduction to the creation workflow: original material → AI prompt → draft → critical review → revision.

Break (2:00–2:15)

Hour 2 (2:15–3:15) — Create: Hands-on creation using Gemini and NotebookLM. Facilitator circulates with targeted coaching. Structured peer feedback in pairs: Does this serve the student? What did the AI miss that a human expert would catch? What needs to be fixed before this goes near a classroom?

Hour 3 (3:15–4:00) — Share, Critique, and Plan: Small group shares. Not just "look what I made" but "here's what the AI got wrong and how I fixed it." Whole-group reflection on AI as a tool for inclusive practice versus a shortcut that bypasses expertise. Individual action planning to identify one specific thing I will try with students in fall 2026.

Participants leave with a real, usable adapted resource and a realistic, critical framework for continuing independently.

Now that participants understand the goal and exciting potential of this course, we will start exploring the design and content of the course. In the first part of the workshop we will do a group data science activity to get used to Jupyter Notebooks and Python. In the second part of the workshop attendees will be given time to explore resources and build their own lesson in a chosen disciplinary area with the aim of building a library of activities across disciplines that could be used by this introductory course for teachers across the state.