AI Educator Summit

Traditional professional development often feels like a performance review. This presentation introduces the Teacher Professional Growth GEM—a revolutionary, AI-powered self created sample tool designed to shift the paradigm from high-stakes evaluation to autonomous self-reflection.
Built specifically to be a "mirror, not a monitor," this GEM provides educators with a completely safe, private space to analyze classroom data and coaching models. By removing the threat of judgment or administrative oversight, teachers are empowered to take full ownership of their professional journey and classroom learning needs.
Attendees will leave with a sample or recipe to create a GEM that delivers non-biased, impartial insights into instructional performance, highlighting strengths and identifying growth areas without a digital paper trail. Learn how this innovative tool bridges the gap between data-driven coaching and teacher autonomy, fostering an environment where educators don't just survive evaluations—they thrive on their own terms.

Innovation without oversight is a liability. As AI integration moves from "pilot" to "policy,"  leaders must be able to identify the hidden risks in emerging use cases—from algorithmic bias and data privacy gaps to the erosion of teacher agency. Participants will be handed real-world AI implementation scenarios and tasked with "red-lining" the friction points. Plan on lots of dialogue and conversation in this session.

Audience: Education (Elementary)
This module equips educators with practical skills to leverage AI for new learning experiences. Participants will explore approaches that go beyond conventional applications like quizzes and worksheets to design dynamic, personalized learning environments. The course examines how AI can support differentiated instruction, facilitate collaborative knowledge construction, enable authentic assessment, and develop students’ critical thinking skills. Educators will learn to create resources that enhance student agency and engagement a variety of learning activities.

Learning objectives:

1. Design AI-enhanced learning experiences that foster deep understanding and student agency beyond traditional instructional materials.
2. Implement personalized learning strategies using AI tools that respond to diverse student needs and learning preferences.
3. Create innovative assessment approaches that leverage AI to provide meaningful feedback and authentic evaluation of student growth.

Teachers can see the final essay, but rarely see the hours of thinking, deleting, and rearranging that happen before students "Submit" their work. This session introduces a process-centered teacher dashboard that acts as an "X-ray" for the writing classroom. Participating teachers will learn how to compare the workflows of an entire class at a glance to identify who is authentically engaged, who is stuck in the drafting phase, and who may be relying too heavily on external tools. By making the "invisible" visible, teachers can provide more personalized feedback and turn data into meaningful coaching conversations. By focusing on the journey of writing, we move toward a more transparent and supportive form of assessment.

Raise your hand if you've planned a lesson on a Sunday you weren't even excited about. Whether your curriculum comes in a binder or lives entirely in your head, AI has something for you. In this session we'll ditch the overwhelm, find your teacher "skin type," and walk away with real prompts ready to use the moment school starts back up. Designed for teachers, support staff, and administrators at every comfort level. No tech experience required. Just show up.