Stanford HAI and ETS say AI is reshaping education assessment
StanfordHAI · x · 2026-07-25
Stanford HAI says a new white paper from the Stanford Accelerator for Learning and ETS examines how AI is changing educational assessment.
- The paper argues the future of assessment depends on systems that are valid, transparent, and human-centered.
- It includes perspectives from Emma Brunskill and Victor Lee.
- The focus is not just on using AI in testing, but on redesigning assessment itself around trust, transparency, and human oversight.
More from Research
- Opus 5 clears ARC-AGI-3 levels after figuring out the rules on level 1 — GregKamradt · 2026-07-25
- Validated tool calls let home-energy agents match 96.7%–98.0% of optimizer savings — MaryamMiradi · 2026-07-25
- RoboMME adds a 16-task benchmark for robot long-horizon memory — chris_j_paxton · 2026-07-25
- A new take says agentic judging, user simulation, and self-play may share one abstraction — xeophon · 2026-07-25
- For-profit AI benchmarks may hide noise behind tiny score gaps — PerformanceRound7913 · 2026-07-25
- Release blog teaser shows a near-tie on FrontierCode agentic coding benchmark — hardmaru · 2026-07-25