Every evening, students get stuck on the same exercise, and the question ends up in a messaging group where the answer is lost within hours. A well-run question-and-answer platform turns that spontaneous mutual help into a lasting resource for the whole school. The question is what actually works, especially now that generative AI is in every pocket.
What research says about peer learning
The Education Endowment Foundation (EEF) Teaching and Learning Toolkit, updated in May 2025 from 145 studies, credits peer tutoring with an average of six months’ additional progress over a school year, at very low cost. Both sides benefit: the student being helped, and the one explaining, because putting an explanation into words forces you to clarify your own understanding. Lower-attaining students gain the most.
The same review stresses one condition: structure. Effective programmes frame the exchanges, train the students who help and build in regular feedback. Digital versions achieve comparable results. A Q&A platform is not a tutoring programme on its own, but it can borrow the same principles: organised questions, reviewed answers and recognised contributions.
Generative AI changes the game, but does not replace the community
Students did not wait for policies to adopt AI. In the United Kingdom, the 2026 Higher Education Policy Institute (HEPI) survey of 1,054 undergraduates found that 95% use AI in some form, while fewer than half feel supported by teaching staff. The context differs in French-speaking Africa, but the trend is the same wherever students carry a smartphone.
UNESCO published guidance on generative AI in education and research as early as 2023. Among other things, it recommends a minimum age of 13 for using these tools in the classroom, protection of students’ data and validation of tools by institutions. In 2024, its AI competency framework for students set out 12 competencies across four dimensions, including ethics and a human-centred mindset.
Another risk is less visible. A study published in PNAS Nexus in 2024 measured a drop of around 25% in activity on Stack Overflow, the large developer help forum, within six months of ChatGPT’s release. When everyone asks an assistant in private, publicly shared knowledge shrinks. An in-house school platform does the opposite: it keeps a record of good answers, aligned with the curriculum and checked by teachers. One simple rule works well: AI can be a starting point, but any published answer must be explained in the student’s own words and reviewed.
Running and moderating a help community
Seed it
An empty platform attracts no one. Before launch, ask teachers to post the questions that come up every year, with high-quality answers. Set up subjects, levels and tags from day one so everyone can quickly find what they need.
Reward it
Votes, accepted answers and reputation points make effort visible. Extend that recognition into school life: a mention at the class council, a subject-champion role, a certificate of engagement.
Moderate it
A short charter is enough: be kind, no copied homework, no personal data. Students flag content, a moderation queue gathers the cases and expert teachers rule on the substance. The goal is not to control everything but to preserve trust.
Checklist for launching your peer-help platform
- Choose a starting scope: one class, one grade or one pilot subject.
- Write a one-page usage charter, including rules on AI.
- Prepare around twenty reference questions and answers before launch.
- Appoint expert teachers per subject and a moderation lead.
- Decide how contributions will be recognised in school life.
- Teach students to ask a good question: context, what they tried, where they are stuck.
- Review after one term: unanswered questions, active subjects, flagged content.
How SciAut Q2A helps
SciAut Q2A is the question-and-knowledge-sharing app of the SciAut Suite, designed for students, alumni and teachers:
- Questions and answers: ask, answer and comment, with formulas and images, which are essential in science subjects.
- Votes and accepted answer: the best answers rise to the top and the asker validates the one that helped.
- Subjects and tags: content organised by subject, level and topic, with search.
- Reputation: points, badges and contributions visible on each profile.
- Moderation: flagging, a moderation queue and expert teachers.
- Notifications: an alert as soon as someone answers you.
In short
Peer help is one of the best-evidenced and least expensive levers in teaching. With a clear framework, active moderation and a considered place for AI, it becomes a shared asset for the whole school. Explore SciAut Q2A or book a demo.
Sources
- Teaching and Learning Toolkit: Peer tutoring, Education Endowment Foundation, updated 2025.
- Student Generative Artificial Intelligence Survey 2026, HEPI and Kortext, 2026.
- UNESCO calls for regulations on AI use in schools (UNESCO guidance on generative AI in education and research), UN News, 2023.
- AI competency framework for students, UNESCO, 2024.
- Large language models reduce public knowledge sharing on online Q&A platforms, R. M. del Rio-Chanona, N. Laurentsyeva and J. Wachs, PNAS Nexus, 2024.
