Teacher Inquiry Cycle Designer

What This Skill 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).

Evidence Foundation

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.

Input Schema

The teacher must provide:

• Inquiry question: What they want to investigate. e.g. "Does using retrieval practice at the start of every lesson improve my Year 9 students' retention of key Science vocabulary?" / "What happens to student participation when I replace 'hands up' with cold-calling?" / "How does providing written success criteria affect the quality of my Year 7 students' creative writing?"
• Teacher context: Their situation. e.g. "Year 9 Science, 5 years' experience, interested in memory and retention" / "NQT, Year 7 English, struggling with uneven participation"

Optional (injected by context engine if available):

• Student level: Year group
• Available time: Duration of inquiry