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AI Educator Summit
Tuesday August 4, 2026 1:10pm - 2:00pm CDT
Assessment should inform instruction — but the realities of grading workload often mean that valuable student learning data goes underutilized. What if AI could help close that gap?


In this session, participants will explore how AI-powered tools can transform assessment practices by streamlining the creation of interactive, standards-aligned assessments and rubrics that capture meaningful data about student understanding. Educators will learn practical approaches to AI-enhanced feedback systems that provide more detailed, personalized responses to student work — freeing up time for the instructional planning and relationship-building that matter most.


Beyond grading efficiency, this session focuses on what comes after assessment: using student learning data to drive personalized instruction. Participants will practice interpreting AI-generated growth insights to identify learning patterns, form flexible groups, and design targeted instructional strategies that meet each student where they are. The session emphasizes maintaining teacher expertise and professional judgment as the foundation for all assessment decisions, with AI serving as a tool that amplifies — rather than replaces — educator insight.


Participants will leave with actionable strategies for designing assessments that genuinely inform instruction and approaches for using learning analytics to differentiate effectively across diverse classroom contexts.
Speakers
avatar for Peter Brunetta

Peter Brunetta

Senior Account Executive, Colleague AI
With a Master's in Education and a decade of experience spanning both sides of the educational landscape, Pete uniquely bridges classroom practice and technology innovation. After five years teaching English Language Arts, he transitioned into EdTech, spending five years developing... Read More →
Tuesday August 4, 2026 1:10pm - 2:00pm CDT

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