The PIE Cycle Meets AI Dashboards: Evidence-Based School Decisions
Every school runs Plan–Implement–Evaluate, but "evaluate" often relies on impressions. See how PIE KPIs link directly to platform data — AI usage, objective mastery, teacher training records, SDAS results — so planning has a baseline, implementation has tracking, evaluation has evidence, and grant interim and final reports come out automatically.
Short answer: PIE usually breaks down because evaluation has no data. When KPIs are linked directly to platform data, planning has a baseline, implementation has live tracking and evaluation has evidence — and the grant's interim and final reports become a by-product of the cycle.
Three common breaks in school PIE
- Planning without a baseline: the goal says "improve self-directed learning" with no current figure.
- Implementation without tracking: mid-year you discover a panel never started.
- Evaluation by impression: "felt good", "positive response" at the year-end meeting.
An AI dashboard is not "another system"; it threads the three stages with one set of data.
Write KPIs the system can compute
| Vague KPI | Computable KPI | Data source |
|---|---|---|
| Teachers use AI more for planning | ≥ 70% of teachers use AI planning tools ≥ 2 times a month | Usage records (by role / module) |
| Student self-directed learning | ≥ 60% of P4–P6 students complete a tutor task weekly | Tutor task completion |
| Raise maths results | P4 Maths standard score improves ≥ 0.3 from term 1 to term 2 | SDAS |
| Teacher professional development | 3 trainings, 3 demo lessons, 3 sharing sessions completed | Training records |
| Cross-subject use | AI exemplars in ≥ 3 subjects × 2 grades | Library + usage records |
Once KPIs are computable, the dashboard updates attainment daily.
A dashboard for each stage
Plan (September): baseline — last year's usage, mastery by subject, SDAS starting point; AI helps draft goals and KPIs from the baseline.
Implement (October–May): tracking — live attainment per KPI, alerts for lagging panels, monthly automatic summary; principals and panel heads view by permission.
Evaluate (June): evidence — KPI attainment table, before/after charts, teacher and student feedback summaries; AI drafts the evaluation narrative for the school to edit.
Mapping to the grant report
The AI Education Grant's interim (October 2027) and final (October 2028) reports ask for:
| Report item | PIE dashboard data |
|---|---|
| Scope of AI use (subjects, grades) | Usage by subject × grade |
| Teaching exemplars | Library items tagged "exemplar" |
| Teacher professional development | Training / demo / sharing records (date, headcount, hours) |
| Student learning outcomes | Objective mastery, SDAS before/after |
| Sustainability | Number of school resources, shared teacher templates |
Export Markdown / CSV in the report's structure; the school adds narrative.
Permissions and culture
- Principals see the school, panel heads their subject, teachers themselves — data appears only to those who need it.
- The dashboard is for discovery and dialogue, not ranking.
- Put 15 minutes of "data time" on the monthly panel meeting agenda.
Rollout suggestions
- Year one: choose only 5 KPIs, all computable.
- Set the baseline in September; review monthly.
- Run the June review from the dashboard and draft the grant report at the same time.
Takeaway
PIE is a framework schools already have; an AI dashboard finally gives it numbers. When KPIs compute themselves and reports export themselves, school leaders can spend their time on the real question: behind the data, what changed for students and teachers?
FAQ
The Plan–Implement–Evaluate cycle is the basic framework for school self-evaluation and development planning in Hong Kong, used for annual plans, panel plans and individual projects.
For example, the KPI "70% of teachers use AI lesson planning monthly" is computed directly from usage records with no manual counting; "P4 Maths improves by 0.3 SD" is computed by SDAS.
The data parts can — subjects and grades covered, training records and before/after student outcomes export in the report's structure. Narrative and reflection are still written by the school.
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