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A Hopeful Vision For Better-Designed Schools
By Danish Kurani This article is an adapted excerpt from the book The Spaces That Make Us: Why Design Is Broken and How We Can Create a Happier, Healthier World. From the first day of kindergarten to the day students complete high school, they spend approximately…
Responsible Inference Engines: Safeguarding Students with Learning Differences in the AI Era
The forthcoming brief Prioritizing Students with Disabilities in AI Policy (EALA/New America) highlights a critical reality: 73% of students with disabilities use AI for coursework, and 57% of special educators use it to draft IEPs. Yet, 0% of AI-based interventions in a 2025 systematic review rate as “Low…
When Reality Meets Possibility: Inside the Ecosystem Lab
Learner-centered ecosystems are already emerging—Ecosystem Lab helps leaders connect partnerships and pathways across communities.
Designing for Belonging: Lessons from Districts Building What Technology Can’t Replace
Discover how districts are wrestling with what AI can't replace, prioritizing human skills like belonging, judgment, and connection through systemic redesign.
AI Literacy is Not Tool Mastery: How to Build Sustained Educator Capacity
AI literacy isn’t tool mastery—educators need sustained, human-centered professional learning to build confidence and capacity.
From Compliance to Coherence: A Global Survey of National AI in Education Strategies
Global AI-in-education strategies show adoption outpacing governance—what the U.S. can learn from Estonia, Finland, China, and more.
Measuring What Matters: From Blunt Sorting to Human Thriving Powered by Multimodal AI
Explore the potential of Advancing Multimodal AI to reshape educational metrics and enhance human potential measurement.
Kevin Stoller on Designing Learning Spaces That Transform Education
Designing learner-centered learning spaces with Kevin Stoller—why flexibility, community use, and “learning space integrators” matter.
Probable and Possible: Why the Era of Probabilistic Computing Requires Real World Learning with an Entrepreneurial Mindset
Probabilistic AI is reshaping work—schools need real-world learning and an entrepreneurial mindset to navigate uncertainty and create value.
Innovating What We Measure: Assessment in the Service of Human Potential in an Era of AI and Uncertainty
To deliver on the promise of human potential, we must rebalance from the “assessment OF education” to “assessment FOR education,” transforming measurement into a dynamic pedagogical transaction that actively improves teaching and learning.