2025 UEN Tech Summit

This presentation demonstrates creating local AI with LLMs on edge devices, emphasizing accessibility. It covers setup, management, and use cases, highlighting ease of use and briefly addressing moving experiments to production.

The premise for this presentation is the Steve Jobs quote: "Technology is nothing. What's important is that you have faith in people, that they're basically good and smart, and if you give them tools, they'll do wonderful things with them." This presentation will showcases use cases for creating a local, accessible AI environment. It emphasizes the democratization of AI by bringing powerful Large Language Models (LLMs) to the edge, enabling private, offline, and efficient AI applications. The presentation covers hardware and software setup, model management, performance optimization, and potential use cases. Additionally, it highlights the ease of use and accessibility of these tools for a wider audience and briefly discusses moving experiments into production.

In this presentation, I'll give teachers new to AI a roadmap to build confidence and comfort with using AI for everything from SPED data collection to helping all students use AI as a thinking tool (while steering them away from the less fruitful uses). This will be a practical talk with some hands-on practice with prompt-generation. I'll also talk a bit about USBE's micro credentials, of which I've now written two re: AI.

Follow the path to AI enlightenment with Steve Capone, Jr., two-decade educator and AI learning partner. In this session, you'll get a step-by-step guide to using AI and helping your students use AI to improve everyone's outcomes and save you time.

With all the advancements in AI, how can you tell which is best suited for your purpose.

Imagine a virtual university, that offered AI agents the chance to receive a degree in a university degree program. The presentation will have 3 general sections: Discussion of the ethics and why. A demonstration of it working on a degree. Finally, a conversation around how it changes the way we should be thinking about education.

In this session, we’ll explore the latest research on how AI is currently used in education. We’ll also look ahead to the horizon of Artificial General Intelligence (AGI), challenging participants to consider the ethical, technological, and systemic shifts that may be necessary when AGI becomes part of our educational reality.

This session will begin with an overview of recent research and case studies highlighting how AI is currently transforming education—enhancing instruction, supporting learners, and reshaping assessment. Participants will then engage in guided discussion and scenario-based thinking around the potential impact of Artificial General Intelligence (AGI) in K–12 settings. Together, we’ll explore questions around ethics, equity, policy, technology, and pedagogy to prepare for a future where AGI could influence every aspect of teaching and learning. Attendees will leave with research-informed insights, provocative questions, and practical considerations for navigating both the present and future of AI in education.

Join us for a hands-on workshop designed to provide opportunities for educators to gain experience with generative AI and to learn about how you can earn a $200 grant by utilizing AI in your classroom. In this interactive session, educators will explore the fundamentals of AI, build a common language for discussing its applications, and gain practical experience with a variety of AI tools. Participants will explore the workings of generative AI, address crucial safety and ethical considerations, and discover innovative ways to enhance teaching and learning experiences. Attendees will develop the confidence to leverage AI in their instructional practices.

Welcome Learning Intentions & Norms Why AI in Education? What is AI? How Does It Work? Building Common Language AI Safety Considerations A Note on Prompting Tool Types and Demonstrations Tool Exploration Wrap-Up and Next Steps