Name: The Assessment Trust Crisis: How to Measure Learning in the Age of AI
Start: 2026-11-11T14:00:00ZEST
End: 2026-11-11T15:00:00ZEST

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As AI becomes part of everyday learning, new research is raising a critical question for educators: Are traditional assessments still giving us an accurate picture of what students know and can do?

Join Melissa Loble, Chief Learning Officer at Instructure, to explore what this shift means for K–12 education and why measuring student thinking, reasoning, and real-world skills matters more than ever.

Together, we’ll examine:

The evolving role of traditional assessments
What it means to capture meaningful evidence of student learning
How district leaders can rethink assessment practices to understand not just what students know, but how they think and apply their knowledge

Melissa Loble

Chief Learning Officer, Instructure

Melissa Loble is a globally recognized learning futurist and Chief Learning Officer at Instructure, where she works with institutions and organizations to design the future of learning. With more than 25 years of experience across K-12, higher education and workforce development, she helps leaders build connected, evidence-based learning ecosystems that support the new learner, who is balancing education with work and life and seeking flexible, skills-driven pathways.

At Instructure, Melissa serves as a trusted advisor to education and industry leaders, helping translate strategy into actionable approaches that support lifelong learning and readiness. She chairs the board of directors for 1EdTech, serves on the CSU AI Workforce Acceleration Board, and convenes the AI and Academic Integrity Working Group, bringing together leaders to advance responsible, human-centered approaches to AI and better align learning with workforce outcomes.

An educator at her core, Melissa began her career as a classroom teacher and continues to engage directly with learners and educators. She is a frequent keynote speaker and co-host of Instructure’s podcast.

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The Assessment Trust Crisis: How to Measure Learning in the Age of AI

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