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Experts tell House Education Committee AI can boost learning if teachers, data protections and equity are prioritized
Summary
Researchers and teacher-educators told the House Education Committee that AI-backed "learning engineering" and classroom agents can improve outcomes and personalize instruction, but only with teacher training, strong data protections and explicit equity measures.
Carnegie Mellon University researcher Richard Scheines told the House Education Committee that combining learning science with AI — an approach he called "learning engineering" — has produced measurable gains and can help teachers identify which students need targeted help.
"We've been using AI in education for decades," Scheines said, citing cognitive tutors from the 1990s that produced large learning gains. He described dashboards and intelligent class designs that let teachers see who is struggling and tailor attention accordingly.
Dr. Ingo Vitska, a professor of mathematics education at the University of Siegen, described multi‑school projects in Germany that involved more than 40…
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