People · Practice · Possibility
Independent research for education leaders
Require every tutoring pilot to specify signs of confusion, the escalation route and an adult response time. Test the interface in pupils' instructional language. Evaluate unaided mathematics separately from successful completion with support.
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Can building a simple model help children understand AI? Across 11 Madrid-area schools, 996 pupils aged 10-11 completed four sessions using visual programming and tools such as Teachable…
Read the story 1 min readWhat helps kindergarten teachers use AI responsibly? Researchers in Malang, Indonesia, interviewed ten teacher leaders and five administrators, then surveyed 250 kindergarten teachers with prior…
Read the story 1 min readDoes a structured questioning routine improve how learners work with AI? In a television-production course, 83 undergraduates in three intact classes used DeepSeek for a short-film project. One…
Read the story 1 min readReceiving comments is different from learning to evaluate and use them. A ten-week study assigned three intact university English classes to AI, peer or teacher feedback, with 126 students…
Read the story 1 min readA paper-first routine asks students to map their argument before consulting AI. Over two years and nine design cycles, a South African university project developed this approach with a…
Read the story 1 min readHuman oversight is often promised more clearly than it is evaluated. A review of 78 higher-education studies examined educators' use of generative AI to design instruction, the competencies…
Read the story 1 min readStudents can value AI while still wanting clearer rules. Research in Ecuador combined interviews with 14 lecturers and eight students, a 200-student survey and institutional document review.…
Read the story 1 min read1. Instruction: ask one school team to test a short explain-before-AI routine and an unfamiliar unaided task afterward.
2. Student support: define when a tutoring system must hand a problem to a teacher, including language and accessibility needs.
3. Professional learning: use real generated materials to practice spotting factual errors, bias and unsuitable developmental demands.
4. Evidence: require pilot owners to name the measured outcome and the strongest alternative explanation for a reported gain.
5. Governance: test AI guidance with teachers and students using concrete classroom scenarios; revise the examples they cannot apply.
Selected research published October 17-23, 2026, assessed for relevance to K-12 leadership. Each selection identifies evidence, practical implications and important limitations.
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