AI PBL Bootcamp · Free · Three Mondays from 26 October
Improve

Run the project retrospective

End-of-project memories are selective and disconnected from intended learning, implementation choices and actual evidence.

AI does

Chronology, clustering and unanswered-question prompts.

You do

Interpret causes and distinguish design, implementation and contextual factors.

1

Research

Why this matters, and what good looks like

A retrospective is a structured look back at what happened and what the evidence supports. Work on one completed project segment, one intended outcome and up to six safe dated records. Bring the original plan and private records for checking. If essential checks exceed 60 active minutes, stop and narrow the scope. Do not omit minority experiences to fit the limit.

The IES toolkit offers professional guidance on improvement cycles. PBLWorks offers a design framework, with indirect support for this retrospective. Neither validates this template or establishes an AI benefit. Causes remain teacher interpretations requiring alternatives.

  • The IES cycle connects selection, implementation, data collection and reflection. Compare intentions with records.
  • IES guidance asks teachers to consider implementation, classroom context and assessments. Keep these explanations distinct.
  • PBLWorks includes applying feedback to improve process and products. Keep questions for revision visible.

Where the evidence comes from

Strong for reflective practice and improvement cycles; AI benefit unvalidated.

2

Workflow

Brief it, steer it, check it
  1. Reconstruct the dated record

    Privately remove identifying details. Use optional D04 intentions, D05 sequence and C01 progress records, or equivalent teacher documents. Check dates against originals. Retain conflicting accounts without identifying contributors.

    Prompt 1 · Chronology
    CONTEXT
    Safe dated records with source IDs and intended outcome: [records].
    Teacher scope and private source/privacy check: [gate].
    REQUEST
    Organize the supplied record chronologically, separating plans from recorded events and undated material.
    QUALITY BAR
    Use only supplied dates, events and IDs. Never invent missing events, causes or learner details. Preserve conflicting and minority accounts. If the private check or dated records are missing, return HOLD with the missing input only. Mark undated or unsupported claims HOLD; never silently date them.
    FORMAT
    Table: ID | Date | Plan or record | Exact evidence | Limit. Then Missing inputs. Preserve source IDs and exact evidence wording.
  2. Compare intentions and experience

    Check each chronology row against the original. Supply the approved version and explicit corrections. Select themes yourself after reading the AI proposals, including disagreement and evidence that challenges your first interpretation.

    Prompt 2 · Compare
    CONTEXT
    Original safe records: [records].
    Exact approved step 1 output: [previous].
    Teacher corrections and approval of this input version: [decision].
    REQUEST
    Propose at most two themes comparing the intended outcome with the record, retaining dissent and unanswered questions.
    QUALITY BAR
    Stop with HOLD if approval, sources or essential evidence are missing. Do not infer learning from completion. Do not assign causes, rank experiences or erase minority accounts. Cite source IDs for every observation; label implications as proposals. Leave unsupported claims HOLD.
    FORMAT
    Table: Theme ID | Proposed theme | Evidence IDs | Dissent or contradiction | Question. Then Limits.
  3. Write the bounded retrospective

    Choose themes and write interpretations outside AI. Distinguish design, implementation and contextual possibilities. Supply alternative explanations and uncertainty. Read the draft and edit conclusions yourself before the final comparison.

    Prompt 3 · Retrospective
    CONTEXT
    Original safe records: [records].
    Exact approved step 2 output: [previous].
    Teacher selections, edits, causes with alternatives, surprises, failed assumptions and next questions: [decision].
    REQUEST
    Draft a one-page retrospective of no more than 350 words using only the supplied choices.
    QUALITY BAR
    Missing selections or interpretations mean HOLD; do not supply them. Keep dated events faithful, source-linked and distinct from teacher interpretations. Describe possible causes as unverified, including alternatives. Preserve dissent and uncertainty. Never claim that chronology establishes causation or learning.
    FORMAT
    Use headings: Intended outcome; What happened; Evidence and dissent; Teacher interpretations and alternatives; Surprises and failed assumptions; Next questions. Include source IDs throughout.
  4. Audit your selected version

    Check the draft against originals and rewrite conclusions. Paste your selected version and verification notes. Resolve every flagged issue outside AI before retaining it; this comparison cannot authorize use.

    Prompt 4 · Audit
    CONTEXT
    Original safe records: [records].
    Exact step 3 output reviewed by the teacher: [previous].
    Teacher-selected retrospective, edits and private verification notes: [decision].
    REQUEST
    Compare the selected retrospective with the records and supplied decisions. Flag changed dates, invented events, unsupported causal conclusions, missing dissent and unanswered questions removed.
    QUALITY BAR
    If the selected version or verification notes are absent, return HOLD. Do not rewrite, approve or release the result. Distinguish a textual match from verified fact. Retain uncertainty and all unresolved source gaps; the human must resolve them.
    FORMAT
    If the selected version or verification notes are absent, output only HOLD, the missing input and the required human check. Otherwise output, in order: a table with exactly these columns: Check | Selected text | Source or decision | Finding | Human action; a Remaining limits section; one conclusion sentence; and the final line Human release pending. Finding must be Text match, Mismatch or Unresolved. Text match means agreement with supplied text, never verified fact. Always retain the table and limits, including when every finding is Text match. In that case the conclusion must be exactly: The supplied-text comparison found no mismatch. Otherwise it must be exactly: The supplied-text comparison found mismatches or unresolved checks. Put provenance limits, including any synthetic-input status, in Remaining limits. Do not add a preamble or other sections.

Check before you use it

  • Have you matched every event and date to an original record?
  • Are plans, observations and teacher interpretations clearly separated?
  • Have you preserved dissent and minority experiences without identifying anyone?
  • Are possible causes qualified and alternative explanations retained?
  • Are surprises, failed assumptions and next questions supported or explicitly uncertain?
  • Have you resolved every HOLD privately and made the final retention decision yourself?

Stop rule

Stop if AI invents events, erases minority experiences or presents correlation as cause.

3

Reuse it

So the next one takes minutes
Suitable

Build a skill

Save this as a reusable instruction you can run on any project.

The checking sequence can be reused with fresh safe inputs and explicit teacher decisions.

Not suitable

Build an agent

Chain the steps, with a checkpoint where you approve.

Private source checks and interpretation require direct human control within this bounded task.

Help us improve this method

Anonymous, and it takes under a minute.

Did you get something usable?
How useful was this method?
1 = wasted my time · 5 = I'll use it again
Where did it break down?

Please don't include names, school names or anything about individual students.

No account, no email, nothing stored about you.

Use cases are starting points with one perspective. Disagree with the process, that's expected. Make it yours.

Co-funded by the European Union under Erasmus+ KA210-SCH. No student data. No teacher material stored.