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№05OpenLearning & wellbeing

Can students use AI and still learn?

Outside the registry

Developments elsewhere that bear on this problem: research, results, incidents and policy, each with its source. The UNSOLVED editors choose them every week, with AI research help. They are not verdicts: the review board rules only on contributions.

11 Oct 2026 · Research

Review of 88 studies of LLM tutors finds only one that meets its bar for transfer or delayed retention ↗

Coding 88 papers on LLM tutors published mostly from 2022 to August 2026, the authors find 10 that measure human learning directly and one that meets their bar for transfer or delayed retention. They report that gains depend on pedagogical structure and engagement. Retention tested weeks later without AI, the evidence this problem asks for, is almost absent.

arXiv · Do LLM Tutors Actually Teach? A Process-Centered Synthesis of the Tutoring Loop

7 Oct 2026 · Research

Common Sense Media rates ChatGPT for Teens an unacceptable risk after key safeguards for minors failed in its tests ↗

Testing over 4,000 prompts, reviewed by clinicians, Common Sense Media found that on over a dozen newly linked teen accounts parents got no alert within an hour of self-harm disclosures, and hotline referrals fell from 33% to 23% after launch. Some safeguards held. With its study prefix removed, ChatGPT completed every assignment. OpenAI disputes the method, EdWeek reports.

Common Sense Media · ChatGPT for Teens: AI Risk Assessment

7 Oct 2026 · Research

Year-long study of an AI-assisted math platform in an Arizona district links regular use to 0.11 SD higher test scores ↗

A non-randomised study of 6,065 middle-schoolers offered a teacher-mediated math platform with an AI tutor through 2025–26 found those solving two or more problems a week scored 0.109 SD higher on the spring MAP test, the heaviest users up to 0.31 SD. It measures platform use, not the tutor alone, with no retention test. It points the other way from a university trial's 0.37 SD drop.

Annenberg Institute at Brown University (EdWorkingPapers) · Teacher-Mediated Multimodal Platform and Math Achievement: Evidence from Goblins' Yearlong District Implementation

7 Oct 2026 · Research

How people talk to an AI assistant predicts how well they later do without it, two small user studies find ↗

In two game-based problem-solving studies (139 and 111 participants), people who put their own reasoning into words tended to do better later without the assistant, and those who asked for answers worse. When the assistant explained the problem, later performance was better; when it handed over the next move, worse. Small game-task samples, but it bears on which uses build skills.

arXiv · Human-AI Conversational Behaviors Predict Unassisted Task Performance