K-12 Generative AI 4 Day Workshop
This hands-on, four-day workshop is designed to help educators AI-proof their assignments to help students avoid misuse and grow as thinkers. Our workshop will also show educators how AI can assist their teaching.
Whether you are completely new to AI, have already been experimenting with it, or are an experienced user, this program will take participants to the next level of experiential implementation. You will be learning not just what AI can do, but how educators can use it in their own teaching practices and ethically apply Generative AI in the classroom.
These four, three-hour sessions will combine practical instruction with guided, hands-on workshops allowing participants to leave with real, transferrable skills.
Workshop Details
Time: 10am – 1pm
Schedule by Day
Topics: What AI is and is not, How it works, How AI functions as an educational tool, Why AI literacy matters in K-12 education, Gen AI basics, Hallucinations, LLMs, Video, and multimedia
This first day starts at the foundation of AI, discussing what Generative AI is, where it came from, and how tools like ChatGPT, Gemini, Claude, Perplexity, and Copilot work.
We’ll break down Large Language Models (LLMs) in plain language, look at how AI is being used in education today, and make the case for why AI literacy is no longer optional for educators.
We’ll also tackle AI hallucinations, basic prompting, and different video and multimedia tools.
Topics: How students use AI, Productive vs Unethical uses, assignment design, and AI detectors.
Day 2 tackles approaches students and AI usage. We’ll be examining the difference between productive AI use and academic dishonesty, and why that line is harder to draw than it seems.
You’ll explore how to design assignments that encourage critical thinking rather than easy shortcuts, making it more difficult for students to misuse AI. We’ll also take an honest look at AI detectors, what they can and can’t do, and why over-relying on them can create more problems than they solve.
Topics: Prompt Engineering, Lesson Planning, Rubrics, Differentiation, Study Guides, and Games.
Day 3 moves from understanding the basics of AI to starting to use it beyond the surface level. We’ll focus on lesson planning, rubrics, differentiation, and study guides. You’ll see how Generative AI can reduce prep time without replacing your professional judgment.
We’ll also dig deeper into prompt engineering. Better prompts mean better outputs, and by the end of the day, you’ll know how to get both. We’ll close with some of the more creative possibilities, including AI-assisted games and multimedia tools that can make learning more engaging for your students.
Topic: AI policies and expectations, district and school concerns, future trends. Project: Create a lesson, policy, assignment, or student guide.
Day 4 brings everything together. We’ll look at how to establish clear AI policies and expectations at the classroom and district level, and address the bigger concerns districts are navigating right now. You’ll leave with a realistic picture of where AI in education is headed and what that means for your role as an educator.
We’ll close the workshop with dedicated work time to build something you can actually use: a lesson plan, classroom policy, assignment, student guide, or whatever fits your most immediate need.
Contact Us
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Tara Kazmark
Assistant Chair, Division of Arts and LettersAssociate Professor -
Jonathan Sullivan
Assistant Professor