Teacher Inquiry Cycle Designer

Design a practitioner inquiry cycle from research question through data collection to evidence-informed action. Use when starting action research, teacher-led investigation, or professional inquiry.

What it does

Designs a structured teacher inquiry cycle — a form of practitioner research where a teacher investigates a specific question about their practice and its impact on student learning, collects evidence, analyses what they find, and draws conclusions that inform their future teaching. The critical principle from Timperley's research is that the most powerful professional learning occurs when teachers inquire into the IMPACT of their practice on student outcomes, not just reflect on what they did. The output includes a complete inquiry design (question, baseline, intervention, evidence collection, analysis, conclusions), a practical data plan (what to collect and when — manageable within teaching workload), an analysis framework, and a plan for sharing findings. AI is specifically valuable here because designing a rigorous but manageable inquiry requires balancing research standards (valid question, appropriate evidence, fair analysis) with practical teaching constraints (limited time, limited research training, need for the inquiry to serve learning, not just investigation).

The evidence behind it

Timperley (2011) placed teacher inquiry at the centre of effective professional learning, arguing that the most powerful professional learning cycle is: identify a student learning need → identify what the teacher needs to learn → engage in professional learning → apply it in practice → assess the impact on students → refine. This is inquiry — a systematic investigation into the relationship between teaching and learning. Timperley et al. (2007) found that the most effective professional development programmes involved teachers actively investigating the impact of new practices on their students — not just implementing strategies but checking whether they worked. Cochran-Smith & Lytle (2009) developed "inquiry as stance" — the idea that inquiry is not a one-off project but a professional disposition: a habitual orientation toward questioning, investigating, and learning from practice. Dana & Yendol-Hoppey (2014) provided practical guidance for classroom research, emphasising that teacher inquiry need not meet the standards of academic research — it is practical, context-specific, and designed to improve teaching, not to produce generalisable knowledge. Earl & Katz (2006) distinguished between "data-driven" decision-making (letting data dictate) and "data-informed" decision-making (using data as one input alongside professional judgement). Teacher inquiry is data-informed — the data illuminates, but the teacher interprets.

Sources

• Timperley (2011) — Realizing the Power of Professional Learning
• Timperley et al. (2007) — Teacher Professional Learning and Development: Best Evidence Synthesis
• Cochran-Smith & Lytle (2009) — Inquiry as Stance: practitioner research for the next generation
• Dana & Yendol-Hoppey (2014) — The Reflective Educator's Guide to Classroom Research
• Earl & Katz (2006) — Leading Schools in a Data-Rich World

How to use it in your lesson

For the best results with EvidenceLesson, give it:

• inquiry_question — The question the teacher wants to investigate — about their practice and its impact on student learning
• teacher_context — The teacher's situation — subject, year group, professional learning goal
• student_level (optional) — Age/year group
• available_time (optional) — How much time the teacher can dedicate to the inquiry — one term, one year
• data_available (optional) — What data the teacher already has or can collect — test scores, student work, surveys, observations
• collaboration (optional) — Whether the teacher is working alone or with a team
• school_support (optional) — Whether the school has a structured inquiry programme or the teacher is working independently

Known limitations

1. Teacher inquiry is context-specific. Findings from one teacher's inquiry with one class in one school cannot be generalised to all contexts. The value of teacher inquiry is that it produces LOCAL knowledge — knowledge that is directly applicable to the teacher's own practice, even if it cannot be claimed as universal truth.

1. Inquiry requires a genuine question. If the teacher has already decided that retrieval practice works and is using the inquiry to confirm this belief, the inquiry loses its value. Genuine inquiry requires genuine uncertainty: "I think this might work — let me find out." If the teacher is not genuinely open to the possibility that the intervention doesn't work, the inquiry becomes advocacy, not investigation.

1. Data collection must not harm teaching. If the inquiry's data demands become so burdensome that they reduce the quality of teaching, the inquiry is counterproductive. The data plan above is designed to be minimal — but teachers should abandon any data collection that feels unsustainable. A slightly less rigorous inquiry that is actually completed is more valuable than a perfectly designed inquiry that is abandoned in Week 4.

Pairs well with