Scaffold Student Work

Act as an experienced instructional designer and learning scientist.

Scaffold a multi‑step assignment in [Insert Domain/Task] for [Insert Student Level] in [Insert Course] by breaking work into Plan → Draft → Revise milestones that make thinking visible, reduce cognitive load, and support integrity‑by‑design.

Inputs:
- Materials: assignment goal, constraints (time/resources/tools), rubric highlights: [Paste Text Here]
- AI Use Policy: [Insert AI Use Policy] (e.g., AI may assist idea generation but not final wording; all sources cited)

Produce a faculty-facing prompt that can be copied and run immediately, with these labeled sections:
- Assignment Overview (purpose of milestone scaffolding, audience, high‑level task)
- Learning Outcomes (3-5)
- Scenario Brief (context, constraints, prior knowledge assumptions, pacing)
- Student Task & Deliverables (Milestone 1 Plan: deliverables, criteria, process artifacts; Milestone 2 Draft: deliverables, criteria, peer/AI feedback plan; Milestone 3 Revise: revision log, improvement targets, reflection; integrity-by-design notes: citations, originality checks; exit ticket 3 items with answers)
- Process Artifacts (planning outline template, draft snapshot checklist, revision log, feedback summary form)
- Success Criteria & Rubric Hooks (clarity, alignment to outcomes, visible process, improvement evidence, integrity)
- Debrief Plan (3–5 prompts on what changed, feedback impact, and next optimization)

Pedagogical and ethical requirements:
- Reduce cognitive load while preserving rigor
- Make intermediate reasoning traceable; discourage last‑minute work
- Preserve authorship and cite all external assistance

Tone: academic and supportive.

Before producing the final version, ask me three clarification questions to confirm understanding. Then summarize my answers back to me in 3 bullets. Only after that, present the final output in clearly labeled sections.

Act as an experienced instructional designer and assessment specialist.

Scaffold a deliverable by providing a template, an annotated strong example, and a contrasting non‑example for [Insert Student Level] in [Insert Course].

Inputs:
- Materials: deliverable type, outcomes, key criteria: [Paste Text Here]
- AI Use Policy: [Insert AI Use Policy] (e.g., AI may draft preliminary structure; faculty verifies)

Produce a faculty-facing prompt that can be copied and run immediately, with these labeled sections:
- Assignment Overview (template + exemplar contrast purpose, audience)
- Learning Outcomes (3-5)
- Scenario Brief (task context, constraints, prior knowledge, common pitfalls)
- Student Task & Deliverables (template with labeled placeholders; annotated good example explaining criterion alignment; annotated non‑example explaining shortcomings; success criteria 3–5 bullets; 3 quick checks with answers)
- Process Artifacts (annotation ledger, criteria checklist, quick check answer key)
- Success Criteria & Rubric Hooks (criterion alignment, clarity, reasoning visibility, avoidance of superficial mimicry)
- Debrief Plan (3–5 prompts on differences, transfer, and refinement)

Pedagogical and ethical requirements:
- Be precise and fair; avoid stigmatizing language in non‑examples
- Emphasize uncertainty and iterative improvement
- Promote critical comparison rather than copying

Tone: academic and clear.

Before producing the final version, ask me three clarification questions to confirm understanding. Then summarize my answers back to me in 3 bullets. Only after that, present the final output in clearly labeled sections.

Act as an experienced instructional designer and problem‑solving coach.

Create a guided decomposition scaffold for a challenging problem for [Insert Student Level] in [Insert Course].

Inputs:
- Materials: problem statement, known constraints, typical failure modes: [Paste Text Here]
- AI Use Policy: [Insert AI Use Policy] (e.g., AI may suggest subproblem candidates; human validates)

Produce a faculty-facing prompt that can be copied and run immediately, with these labeled sections:
- Assignment Overview (decomposition purpose, audience)
- Learning Outcomes (3-5)
- Scenario Brief (problem context, complexity drivers, constraints)
- Student Task & Deliverables (subproblem list 2–5 with inputs/outputs; dependencies map simple text graph; checks for each subproblem sanity/edge cases; integration plan order, risks, fallbacks; exit ticket with answers)
- Process Artifacts (subproblem spec sheet, dependency graph text, check ledger, integration outline)
- Success Criteria & Rubric Hooks (coherent breakdown, correct dependencies, effective checks, realistic integration)
- Debrief Plan (3–5 prompts on alternative decompositions, missed risks, and future automation)

Pedagogical and ethical requirements:
- Emphasize verification and boundaries; avoid overclaiming
- Encourage explicit articulation of assumptions
- Support accessible language and inclusive examples

Tone: academic and structured.

Before producing the final version, ask me three clarification questions to confirm understanding. Then summarize my answers back to me in 3 bullets. Only after that, present the final output in clearly labeled sections.

Act as an experienced instructional designer and metacognition researcher.

Design a think‑aloud + self‑explanation scaffold for [Insert Student Level] in [Insert Course] to surface reasoning and misconceptions.

Inputs:
- Materials: task description and common pitfalls: [Paste Text Here]
- AI Use Policy: [Insert AI Use Policy] (e.g., AI may transcribe but not alter reasoning)

Produce a faculty-facing prompt that can be copied and run immediately, with these labeled sections:
- Assignment Overview (metacognitive scaffolding purpose, audience)
- Learning Outcomes (3-5)
- Scenario Brief (task context, typical pitfalls, timing constraints)
- Student Task & Deliverables (checkpoint schedule timing/purpose; think‑aloud prompts 2–3; self‑explanation prompts 2–3; evidence to capture notes/screen/audio with integrity considerations; exit ticket with answers)
- Process Artifacts (checkpoint log, prompt sheets, evidence capture checklist)
- Success Criteria & Rubric Hooks (depth of reasoning, misconception identification, clarity, ethical evidence capture)
- Debrief Plan (3–5 prompts on strategy changes, insights gained, and future improvements)

Pedagogical and ethical requirements:
- Encourage transparency; protect privacy; be inclusive
- Avoid pressuring disclosure of sensitive information
- Emphasize reflection over performance policing

Tone: academic and supportive.

Before producing the final version, ask me three clarification questions to confirm understanding. Then summarize my answers back to me in 3 bullets. Only after that, present the final output in clearly labeled sections.

Act as an experienced instructional designer and feedback literacy specialist.

Create a peer/AI feedback scaffold for [Insert Student Level] in [Insert Course] emphasizing rubric alignment, fairness, and revision tracking.

Inputs:
- Materials: rubric criteria or outcomes: [Paste Text Here]
- AI Use Policy: [Insert AI Use Policy] (e.g., AI may draft formative suggestions; students must verify)

Produce a faculty-facing prompt that can be copied and run immediately, with these labeled sections:
- Assignment Overview (feedback scaffolding purpose, audience)
- Learning Outcomes (3-5)
- Scenario Brief (artifact type, feedback round timing, constraints)
- Student Task & Deliverables (rubric hooks criteria with short descriptors; feedback prompts 3–5 targeted questions; feedback quality checklist fair/specific/actionable; revision log template change → rationale → evidence; exit ticket with answers)
- Process Artifacts (feedback prompt list, quality checklist, revision log form, answer key)
- Success Criteria & Rubric Hooks (constructive specificity, alignment, bias avoidance, demonstrable improvement)
- Debrief Plan (3–5 prompts on most impactful feedback, changes made, and remaining gaps)

Pedagogical and ethical requirements:
- Ensure fairness; discourage bias and superficial praise
- Promote integrity and transparent revision rationale
- Support respectful, inclusive language

Tone: academic and constructive.

Before producing the final version, ask me three clarification questions to confirm understanding. Then summarize my answers back to me in 3 bullets. Only after that, present the final output in clearly labeled sections.

Act as an experienced instructional designer and academic integrity specialist.

Create a process evidence scaffold (integrity‑by‑design) for [Insert Student Level] in [Insert Course] balancing transparency and privacy.

Inputs:
- Materials: task and typical artifacts (planning notes, logs, versions): [Paste Text Here]
- AI Use Policy: [Insert AI Use Policy] (e.g., AI use must be logged with prompts/results)

Produce a faculty-facing prompt that can be copied and run immediately, with these labeled sections:
- Assignment Overview (process evidence purpose, audience)
- Learning Outcomes (3-5)
- Scenario Brief (task context, integrity risks, constraints)
- Student Task & Deliverables (required artifacts planning notes/logs/versions; audit plan spot checks, reproducibility, citation trail; privacy/ethics notes what not to capture; success criteria 3–5 bullets; exit ticket with answers)
- Process Artifacts (artifact submission checklist, audit log template, AI use log)
- Success Criteria & Rubric Hooks (authentic process, transparent sources, respectful privacy, reproducibility)
- Debrief Plan (3–5 prompts on process gains, integrity challenges, and future safeguards)

Pedagogical and ethical requirements:
- Support learning and integrity without surveillance creep
- Respect privacy; exclude sensitive personal data
- Encourage reflective logging over punitive monitoring

Tone: academic and responsible.

Before producing the final version, ask me three clarification questions to confirm understanding. Then summarize my answers back to me in 3 bullets. Only after that, present the final output in clearly labeled sections.

Act as an experienced instructional designer and time‑management coach.

Design a checkpoints + timeboxing scaffold for [Insert Student Level] in [Insert Course] to reduce cramming and support equitable pacing.

Inputs:
- Materials: assignment timeline and risks: [Paste Text Here]
- AI Use Policy: [Insert AI Use Policy] (e.g., AI may suggest schedules; faculty approves)

Produce a faculty-facing prompt that can be copied and run immediately, with these labeled sections:
- Assignment Overview (timeboxing purpose, audience, high‑level task)
- Learning Outcomes (3-5)
- Scenario Brief (timeline, workload estimate, risk factors)
- Student Task & Deliverables (checkpoint table deadline/time budget/output/risks; risk mitigation plan slips/blockers; communication plan what to submit when/how; exit ticket with answers)
- Process Artifacts (checkpoint tracker, risk mitigation ledger, communication schedule)
- Success Criteria & Rubric Hooks (steady progress, proactive mitigation, clarity of submissions, equitable pacing)
- Debrief Plan (3–5 prompts on schedule adherence, stress reduction, and improvements)

Pedagogical and ethical requirements:
- Keep load reasonable; support equity (non‑punitive early help)
- Encourage early identification of blockers
- Avoid penalizing legitimate constraints

Tone: academic and practical.

Before producing the final version, ask me three clarification questions to confirm understanding. Then summarize my answers back to me in 3 bullets. Only after that, present the final output in clearly labeled sections.

Act as an experienced instructional designer and learning strategist.

Develop a guided reading/pre‑work scaffold for [Insert Student Level] in [Insert Course] to prime threshold concepts and reduce in‑class cognitive load.

Inputs:
- Materials: topic and goals (3–5 threshold concepts): [Paste Text Here]
- AI Use Policy: [Insert AI Use Policy] (e.g., AI may summarize sources; human verifies accuracy)

Produce a faculty-facing prompt that can be copied and run immediately, with these labeled sections:
- Assignment Overview (pre‑work priming purpose, audience)
- Learning Outcomes (3-5)
- Scenario Brief (topic scope, prior knowledge assumptions, modality/time)
- Student Task & Deliverables (pre‑work outline 15–30 minutes; prompts 3–5 threshold ideas; checks for understanding 3 items with answers; linkage explaining how pre‑work connects to class activities; exit ticket with answers)
- Process Artifacts (prompt list, answer key, linkage note)
- Success Criteria & Rubric Hooks (concept activation, accuracy, accessibility, readiness)
- Debrief Plan (3–5 prompts on preparedness, misconceptions, and adjustments)

Pedagogical and ethical requirements:
- Keep concise; ensure accessibility and inclusion
- Avoid overloading pre‑class time; mark optional enrichment
- Cite all sources transparently

Tone: academic and supportive.

Before producing the final version, ask me three clarification questions to confirm understanding. Then summarize my answers back to me in 3 bullets. Only after that, present the final output in clearly labeled sections.

Act as an experienced instructional designer and communication specialist.

Create a dual‑audience deliverables scaffold producing both an expert memo and a stakeholder brief from the same analysis for [Insert Student Level] in [Insert Course]; stakeholder type: [Insert].

Inputs:
- Materials: analysis/model summary: [Paste Text Here]
- AI Use Policy: [Insert AI Use Policy] (e.g., AI may draft plain‑language paraphrases; expert content verified by student)

Produce a faculty-facing prompt that can be copied and run immediately, with these labeled sections:
- Assignment Overview (dual‑audience communication purpose, audiences)
- Learning Outcomes (3-5)
- Scenario Brief (analysis context, stakeholder needs, constraints, uncertainty)
- Student Task & Deliverables (expert memo checklist assumptions/uncertainty/methods/limits; stakeholder brief checklist plain language implications/actions/trade‑offs; translation rationale log; exit ticket with answers)
- Process Artifacts (checklists, rationale log template, answer key)
- Success Criteria & Rubric Hooks (accuracy, uncertainty honesty, audience fit, clarity, ethical framing)
- Debrief Plan (3–5 prompts on translation decisions, loss/gain trade‑offs, and trust)

Pedagogical and ethical requirements:
- Maintain accuracy and acknowledge uncertainty
- Ensure inclusive, accessible language; avoid jargon overload
- Protect sensitive data; anonymize where needed

Tone: academic and audience‑aware.

Before producing the final version, ask me three clarification questions to confirm understanding. Then summarize my answers back to me in 3 bullets. Only after that, present the final output in clearly labeled sections.

Act as an experienced instructional designer and reliability engineer.

Create an error/edge‑case handling scaffold for [Insert Student Level] in [Insert Course] to improve robustness and reflective debugging.

Inputs:
- Materials: task summary and known pitfalls: [Paste Text Here]
- AI Use Policy: [Insert AI Use Policy] (e.g., AI may suggest test cases; student validates)

Produce a faculty-facing prompt that can be copied and run immediately, with these labeled sections:
- Assignment Overview (error/edge‑case anticipation purpose, audience)
- Learning Outcomes (3-5)
- Scenario Brief (task context, typical failure modes, constraints)
- Student Task & Deliverables (likely errors/edge cases list with brief fixes; checks unit/sanity/logic per case; fallback strategies if check fails; exit ticket with answers)
- Process Artifacts (error catalogue, check matrix, fallback decision log, answer key)
- Success Criteria & Rubric Hooks (coverage of critical cases, effective checks, safe handling, transparency)
- Debrief Plan (3–5 prompts on root causes, prevention, and resilience)

Pedagogical and ethical requirements:
- Promote safe debugging and honest reporting
- Avoid blame language; focus on process improvement
- Encourage documenting unsuccessful fixes

Tone: academic and practical.

Before producing the final version, ask me three clarification questions to confirm understanding. Then summarize my answers back to me in 3 bullets. Only after that, present the final output in clearly labeled sections.