Archive
component:where.technology
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.
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.
Useful by Design: Innovating For Whom We Measure in the Multimodal AI Era
Discover how multi-modal AI can transform educational assessment design for greater efficiency and usability.
Experience Matters: For Educators
For educators, the goal of this layer is to move beyond the traditional transcript—which only captures course completion—toward validating the context of a student's capability.
The Architecture of Ability: How Evidence-Centered Design and UDL Can Shape AI-Era Assessment
ECD, UDL, and The Cow Path Educational measurement is at a crossroads. Multimodal artificial intelligence (AI) finally opens a pathway to move beyond the industrial-era, one-size-fits-all summative test in favor of unobtrusive, agentic, and adaptive assessment. But directing raw computing power at children without guardrails is ill-advised. Using…
Why the Difference Between AI Literacy and AI Fluency Matters
Understanding AI literacy vs. fluency in education is crucial. Explore global frameworks and why fluency is the next step for learners' success.
Borrowing from the Past: Productive Friction in the Age of AI
AI accelerates learning, but productive friction—effort, attention, and struggle—makes growth meaningful. Let’s balance innovation with meaningful design.
David Dimmett on AI Literacy & Career Readiness in STEM Education
David Dimmett discusses AI literacy, STEM pathways, and career readiness, emphasizing applied humanities, ethical reasoning, and durable skills.