🎓 Ages 15–18 · Grades 9–12 · Civic Action Research (YPAR)
ActionQuest
Action research is inquiry that ends in a real, feasible step — not just a report. You take on a public issue you can actually observe and affect: frame it at its root, research it fairly, map who is affected and who decides, design a plan you can carry out, then defend it out loud. It is non-partisan by design — the panel scores your process, never your politics — and AI-proof by format, because a chatbot cannot defend the plan you built.
Start here
Defend a plan only YOU can defend Enter your own driving issue and key decisions; the console builds an oral-defence bank at three depths (recall → explain → defend). A partner reads them aloud — no chatbot in the room can answer for you. AI-proof by format. Meet the panel — then reason with one Six everyday action-researchers, each showing one move in action: an issue-framer, a lateral-reader, a stakeholder-mapper, a feasibility-checker, a fair examiner, an honest reporter. Work a real decision the way each one would. Concept practice 16 kits trace the whole arc: what action research IS → framing a public issue → a researchable question → lateral reading → evidence → bias & spin → stakeholder mapping → root cause → a feasible plan → feasibility → objections → ethics → the AI-use ledger → defending → mock panel → reporting the result.
Concept kits — 16 kits across the action-research arc
Kit 1: What action research IS 25 questions Kit 2: Framing a public issue 25 questions Kit 3: Narrowing to a researchable question 25 questions Kit 4: Lateral reading (evaluating sources) 25 questions Kit 5: Evidence and data (quantitative + qualitative) 25 questions Kit 6: Bias, spin, and misinformation 25 questions Kit 7: Stakeholder mapping (affected vs deciding) 25 questions Kit 8: Root-cause analysis 25 questions Kit 9: Designing an action plan (SMART, feasible) 25 questions Kit 10: Feasibility, resources and constraints 25 questions Kit 11: Anticipating objections 25 questions Kit 12: Ethics, non-partisanship and do-no-harm 25 questions Kit 13: The AI-use ledger (honest disclosure) 25 questions Kit 14: Defending the plan (why-chains) 25 questions Kit 15: Mock panel defence 25 questions Kit 16: Reporting the result (showcase capstone) 25 questions
Meet the panel — then reason with one
- Farah — the issue-framer — frames a public issue at its root (a fixable mechanism), never as a villain, so more people will help
- Devrim — the lateral-reader — leaves the page to check who runs and funds a source before trusting it
- Marco — the stakeholder-mapper — maps who is affected AND who can decide, before proposing anything
- Leila — the feasibility-checker — turns a wish into a plan: by when, with what, and what is step one
- Dr. Okonkwo — the fair panel-examiner — probes the reasoning, never the person; scores the process, not your politics
- Dario — the reporter — reports the honest result, including what did not work, so others can build on it