Archive
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The Cost of Innovation: Why True Transformation Requires A Season of Grief
Innovation in education requires grief work—letting go of old models and identity to lead real transformation.
The fastest way to transform learning isn’t just purchasing curriculum—it’s building alignment among educators at all levels
Aligning educators at every level with curriculum design transforms student learning, as demonstrated by District 18's remarkable growth.
Blueprints Are Not Enough: Building Balanced Assessment Systems for Science of Reading 2.0
Ms. Rivera has done everything right: she attended the state-mandated Science of Reading (SoR) training and internalized the new, evidence-based curriculum. She is teaching phonics and phonemic awareness. Yet, as October settles in, she feels a familiar anxiety. She is teaching the “what” of the new laws, but…
Beyond the Rearview Mirror: Practical Measurement for Improvement
Understand The Three Faces of Measurement and their importance in helping educators navigate student engagement and success.
Confidence, Engagement, and Love: The Missing Alumni Data that Will Transform K-12
The CAPS Alumni Study reveals insights from 1,200 voices focused on student empowerment through innovative networks.
A Revelatory Mindset – what is it, and why might it be transformative for learners?
A Revelatory Mindset fosters curiosity, humility, connection, and alignment, enabling learners and educators to embrace awe, growth, and authentic relationships.
What if Proficiency is not Proficient? The Case for Calibration
Calibration ensures consistent, equitable assessments in CBE. Learn why shared judgment is essential for personalized, competency-based systems.
Rethinking SAMR in the Age of AI: Why the Model Needs a Second Axis
The SAMR model needs a second axis to account for AI’s diverse impacts on learning, emphasizing both positive and negative outcomes.
Taking Stock: Reflections on Upgrading the Quality and Explainability of Educational Measurement in the AI Era
How might we upgrade the quality and explainability of educational measurement in the AI Era?
Beyond the Black Box: Why AI Needs to Show Its Work
Understanding how AI shows its work is essential. Learn about the need for transparency in AI-driven educational tools.