Using AI and Learning Science to Integrate Assessment and Instruction

This edWeb podcast is sponsored by HMH.

The edLeader Panel recording can be accessed here.

The integration of AI into K–12 education is often framed as inevitable, but its impact depends on how thoughtfully it is designed and applied. This edWeb podcast situates AI within a historical and research-based context, examining both its potential and its limitations within classroom education.

Drawing on principles of learning science, we discuss how AI can support evidence-based instruction while avoiding common pitfalls such as bias, over-reliance on automation, and loss of teacher agency. We bring these principles into practice by demonstrating examples that integrate assessment and classroom instruction.

Listeners leave with a nuanced understanding of how to evaluate AI solutions critically and implement them in ways that prioritize student learning and educator expertise. This edWeb podcast is of interest to elementary and middle school teachers, school leaders, and district leaders.

Houghton Mifflin Harcourt
We’re helping to create the fullest expression of what learning can be.

Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.

Learn more about viewing live edWeb presentations and on-demand recordings, earning CE certificates, and using accessibility features.