People · Practice · Possibility
Independent research for education leaders
Pilot a teacher-first planning routine: draft the question sequence and anticipated misconceptions, then use AI to refine wording. Review recorded discussion and student reasoning alongside preparation time. A polished plan or confident teacher should not be the sole success measure.
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Can general-purpose AI improve what students remember after assistance ends? In an experiment with 211 undergraduates, students studied an unfamiliar technical topic and wrote an essay within a…
Read the story 1 min readA high school capstone can involve dozens of different internships, making individualized weekly feedback difficult to sustain. This design report describes a chatbot configured around course…
Read the story 1 min readA model that solves mathematics well may still explain it poorly. Sherpa trains a tutoring model through repeated conversations with simulated learners that require different instructional…
Read the story 1 min readWhat support do teachers need to learn AI well? A survey of 213 Turkish teachers examined planning, monitoring, help-seeking, perceived institutional support and self-evaluation. An exploratory…
Read the story 1 min readDoes an integrated AI teaching system improve computational thinking? A 14-week pilot compared two university classes totaling 120 students. One class used a package combining learning…
Read the story 1 min readWhich classroom relationships should AI support? A mini-review brings together 32 studies on educator communication and AI-mediated higher education. It finds that teacher clarity, rapport and…
Read the story 1 min readSupport for AI and concern about its effects can coexist in the same educator. A survey of 270 teachers across seven campuses of a Pakistani private university asked about pedagogical benefits…
Read the story 1 min read1. Instruction: trial a teacher-first questioning sequence in one team; review student contributions alongside preparation time.
2. Assessment: add a short unaided follow-up to an existing AI pilot and compare it with the original assisted work.
3. Procurement: request the population, number of classrooms, comparison condition and follow-up period behind every learning claim.
4. Support: map the human check-ins around any student chatbot and confirm who handles uncertainty or sensitive disclosures.
5. Professional learning: collect separate benefit and concern feedback, then use work samples to decide the next training step.
Selected research published October 3-9, 2026, assessed for relevance to K-12 leadership. Each selection identifies evidence, practical implications and important limitations.
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