Artificial Intelligence
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This podcast highlights developing trends in K-12 education, postsecondary and lifelong learning. Each week, Getting Smart team members interview students, leading authors, experts and practitioners in research, tech, entrepreneurship and leadership to bring listeners innovative and actionable strategies in education leadership.
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We’ve Been Judging Symphony Rehearsals by the Last Note: Why Multimodal AI Can Finally Measure Mathematical Practice
For decades, math assessments have measured the residue of thinking rather than thinking itself. In this sharp, research-grounded piece, Eric Tucker argues that multimodal AI can finally make the Standards for Mathematical Practice visible, capturing spoken arguments, strategic shifts, and productive struggle in real time. For district leaders and curriculum directors rethinking assessment infrastructure, this is essential reading on what it means to measure what actually matters.
A Hint is Not a Diploma: Consequential Educational Decision Making in the Multimodal AI Era
As AI accelerates into every corner of schooling, education leaders face a question that is both urgent and deeply human: who holds the gavel? In this provocative new piece, Eric Tucker argues that the real risk is not AI itself but our failure to govern it proportionally, treating a graduation algorithm with the same scrutiny as a spelling hint. This consequence-tiered framework gives leaders, policymakers, and educators a practical architecture for protecting learners while keeping innovation alive.
Defining Your Philosophy of Education for the AI Age
How a “context audit” with ChatGPT can help educators align AI tools with their teaching philosophy, pedagogy, and classroom goals.
What AI-Enabled Education Actually Looks Like When It’s Working for Workforce Students
How AI can make workforce pathways visible through competency records, labor market alignment, and clearer student-to-job outcomes.