Students who use AI generally score worse at school
OECD PISA data from 91 countries shows AI-using students generally score lower, though moderate intentional use plus critical evaluation training can improve outcomes.
PISA 2025 data covering over 760,000 students in 91 countries found that, after adjusting for socioeconomic status, students who never use AI generally outperformed users in science. Effects varied by use type and frequency: task-specific uses like summarizing showed the largest drops, while weekly users of AI for general learning slightly outperformed non-users, especially when trained to critically assess AI output. AI use was higher among advantaged students and varied widely by country, from over 95% in Vietnam to 60% in Japan.
- Non-users outperformed AI users in science after socioeconomic adjustment
- Task-specific uses like summarizing showed the largest performance drops
- Critical evaluation training flipped results in favor of regular AI users
- AI adoption ranged from 95% in Vietnam to 60% in Japan
From the original article
2 min read at theverge.com
Students who use AI to help them study tend to perform worse at school than those who don't, according to data from a global OECD educational report. The situation is more complex than it sounds though, with certain types of AI use giving learners a slight boost, especially among students taught to critically assess how well the AI tools perform.
By Dominic Preston · theverge.com
A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.