Catching The Correct Answer Trap: Characterising AI Tutor Blind Spots When Analysing Student Reasoning 事件

Catching The Correct Answer Trap: Characterising AI Tutor Blind Spots When Analysing Student Reasoning arXiv:2605.23925v1 Announce Type: cross Abstract: Intelligent tutoring systems increasingly provide automated feedback on student work, but robust feedback requires assessing reasoning, not only final answers. We study a failure mode we call the correct answer trap (CAT): models under-detect misconceptions when students reach a correct answer via flawed reasoning. Analysing real student respon