4 min read
Teacher AI Use Doubled This Year. Their Enthusiasm Just Fell
Quill·
NeuralClass Editorial
News, tutorials, research, tools, and opinion on AI for educators.
A Bett/YouGov survey of 1,033 UK teachers finds weekly AI use has doubled, but only a third report working fewer hours — and optimism about AI is falling for the first time.
A new census of US 9-17 year-olds finds most know the school AI rules but weren't taught to use it safely or spot bad output. UK schools are close behind.
A University of Georgia study found an AI grader was accurate just 33.5% of the time on its own, rising to only 50% with a detailed rubric — evidence against unsupervised AI marking.
An EEF-funded RCT found ChatGPT cut teacher lesson-planning time by 31 percent with no quality loss — modest, real evidence in a market that mostly runs on none.
A German study finds teachers and students sharply disagree on who should control classroom AI, and that some teachers hide monitoring from pupils on purpose.
An analysis of 1.2 million US student AI chats found safety-flagged prompts about self-harm and violence far outpace unsafe web searches, while most school policy still fixates on cheating.
Researchers argue randomised trials can't keep pace with AI tools that update monthly, leaving schools to buy on marketing rather than proof.
HEPI research and a seven-university survey show UK institutions retreating from AI detection tools toward oral exams and staged coursework, after evidence the tools misfire most on international students.
A 45,000-response global survey finds student AI use has hit 88%, while US and Canadian faculty intent to use AI fell nine points, mostly because they feel shut out of policy decisions.
The OECD's 2026 Digital Education Outlook finds GenAI raises task completion by 48% but pupil performance falls 17% once the tool is removed, unless teaching is redesigned around it.
A 45,000-response global survey finds AI training doesn't translate into classroom guidance: most faculty completed it, but fewer than three in ten students saw any difference.
A Penn State review of the research finds no evidence AI tutors outperform human teachers, even as tuition-funded AI schools expand rapidly.
A new RAND report shows AI homework use jumped to 62% of students by late 2025. More striking: 67% believe it is harming their critical thinking. What should schools do?
A new Frontiers in Education study examines how AI affected academic performance and social competence among undergraduate EFL learners. The findings add to a growing body of evidence that AI can support language learning, but only when educators stay attentive to interaction quality, transfer, and over-reliance.
A Stanford review of more than 800 AI-in-education studies found that only a small share met strong causal standards. The message for schools is clear: promising classroom tools still need closer scrutiny, especially when vendors make broad claims about achievement, engagement, or critical thinking.
A new RAND report finds student AI use rose sharply in 2025, but so did anxiety about what that dependence may be doing to thinking skills and school norms.