StartLab
← Prompt LibraryAssignment Design

Redesign Assignments

Transform traditional assignments to require genuine scientific thinking, reflective practice, and integrity-by-design. Choose one of the templates below to fit your course level and goals.

1

Redesign a Scientific Investigation Assignment for Reflective Practice

Purpose: Help me transform a generic assignment into an authentic scientific investigation that strengthens reasoning, evidence use, and reflective practice.

Act as an experienced instructional designer and science educator.

Design a ready-to-use assignment template for [Insert Discipline] in [Insert Course/Program] for [Insert Student Level] students who have prior knowledge of [Insert Topic or Learning Focus]. (e.g., introductory undergrad, graduate.) This assignment should be [Insert Formative or Summative] and worth [Insert Assessment Weight]. (e.g., 15% of final grade.) Scope/duration: [Insert Assignment Scope/Duration]. (e.g., 2 weeks, one 3-hour lab.)

Inputs:
- Materials: [Insert Assignment/Topic or Docs Attached]
- AI Use Policy: [Insert AI Use Policy] (e.g., permitted with citation, permitted for planning only, not permitted)

Produce a student-facing prompt faculty can copy and run immediately, with these labeled sections:
- Assignment Overview
- Learning Outcomes (3-5)
- Scenario Brief (setting, data/sources, constraints)
- Student Task & Deliverables (what to submit)
- Process Artifacts (e.g., planning notes, calculations/code/notebook, decision log)
- Success Criteria & Rubric Hooks (criteria phrased for rubric)
- Debrief Plan (3-5 prompts)

Pedagogical and ethical requirements:
- Elicit scientific reasoning and explicit uncertainty handling
- Require reproducible documentation and proper citation
- Embed integrity-by-design (visible process, originality)

Tone: academic, supportive, and plain-language for non-AI experts.

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.

[Paste syllabus excerpt, assignment draft, or relevant context here]
2

Prompt 2: Redesign a Computational Modeling Assignment for Reflective Practice

Purpose: Convert a modeling task into an authentic, auditable workflow emphasizing assumptions, validation, and iteration.

Act as an experienced instructional designer and science educator.

Design a ready-to-use assignment template for [Insert Discipline] in [Insert Course/Program] for [Insert Student Level] students who have prior knowledge of [Insert Topic or Learning Focus]. (e.g., introductory undergrad, graduate.) This assignment should be [Insert Formative or Summative] and worth [Insert Assessment Weight]. (e.g., 15% of final grade.) Scope/duration: [Insert Assignment Scope/Duration]. (e.g., 2 weeks, one 3-hour lab.)

Inputs:
- Materials: [Insert Assignment/Topic or Docs Attached]
- AI Use Policy: [Insert AI Use Policy] (e.g., permitted with citation, permitted for planning only, not permitted)

Produce a student-facing prompt faculty can copy and run immediately, with these labeled sections:
- Assignment Overview
- Learning Outcomes (3-5)
- Scenario Brief (system, model class, data/parameters, constraints)
- Student Task & Deliverables (baseline, calibration, validation, sensitivity)
- Process Artifacts (e.g., notebook checkpoints, assumptions log, versioned results)
- Success Criteria & Rubric Hooks (criteria phrased for rubric; e.g., assumptions stated; validation vs. reference/analytic cases; sensitivity reported; reproducibility met)
- Debrief Plan (3-5 prompts; e.g., model choice rationale; what failed and why; limits/next steps)

Pedagogical and ethical requirements:
- Elicit scientific reasoning and explicit uncertainty handling
- Require reproducible documentation and proper citation
- Embed integrity-by-design (visible process, originality)

Tone: academic, supportive, and plain-language for non-AI experts.

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.

[Paste syllabus excerpt, assignment draft, or relevant context here]
3

Prompt 3: Redesign a Field Study Assignment for Reflective Practice

Purpose: Turn a generic report into a field investigation emphasizing sampling design, confounds, and uncertainty.

Act as an experienced instructional designer and science educator.

Design a ready-to-use assignment template for [Insert Discipline] in [Insert Course/Program] for [Insert Student Level] students who have prior knowledge of [Insert Topic or Learning Focus]. (e.g., introductory undergrad, graduate.) This assignment should be [Insert Formative or Summative] and worth [Insert Assessment Weight]. (e.g., 15% of final grade.) Scope/duration: [Insert Assignment Scope/Duration]. (e.g., 2 weeks, one 3-hour lab.)

Inputs:
- Materials: [Insert Assignment/Topic or Docs Attached]
- AI Use Policy: [Insert AI Use Policy] (e.g., permitted with citation, permitted for planning only, not permitted)

Produce a student-facing prompt faculty can copy and run immediately, with these labeled sections:
- Assignment Overview
- Learning Outcomes (3-5)
- Scenario Brief (site, instruments, constraints)
- Student Task & Deliverables (design, data collection, analysis, interpretation)
- Process Artifacts (e.g., sampling frame, instrument calibration, data dictionary, field notes)
- Success Criteria & Rubric Hooks (criteria phrased for rubric; e.g., sampling frame justified; confounds and controls documented; safety/consent followed; uncertainty communicated)
- Debrief Plan (3-5 prompts; e.g., biggest confound uncovered; what you would change; generalizability limits)

Pedagogical and ethical requirements:
- Elicit scientific reasoning and explicit uncertainty handling
- Require reproducible documentation and proper citation
- Embed integrity-by-design (visible process, originality)

Tone: academic, supportive, and plain-language for non-AI experts.

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.

[Paste syllabus excerpt, assignment draft, or relevant context here]
4

Prompt 4: Redesign a Data Analysis Assignment for Reflective Practice

Purpose: Convert a generic analysis into an evidence-traceable assignment with verification and transparency.

Act as an experienced instructional designer and science educator.

Design a ready-to-use assignment template for [Insert Discipline] in [Insert Course/Program] for [Insert Student Level] students who have prior knowledge of [Insert Topic or Learning Focus]. (e.g., introductory undergrad, graduate.) This assignment should be [Insert Formative or Summative] and worth [Insert Assessment Weight]. (e.g., 15% of final grade.) Scope/duration: [Insert Assignment Scope/Duration]. (e.g., 2 weeks, one 3-hour lab.)

Inputs:
- Materials: [Insert Assignment/Topic or Docs Attached]
- AI Use Policy: [Insert AI Use Policy] (e.g., permitted with citation, permitted for planning only, not permitted)

Produce a student-facing prompt faculty can copy and run immediately, with these labeled sections:
- Assignment Overview
- Learning Outcomes (3-5)
- Scenario Brief (dataset, provenance, constraints)
- Student Task & Deliverables (EDA → analysis → verification → interpretation)
- Process Artifacts (e.g., notebook, environment, seeds, data dictionary)
- Success Criteria & Rubric Hooks (criteria phrased for rubric; e.g., provenance documented; verification reproduced; interpretation grounded; uncertainty communicated)
- Debrief Plan (3-5 prompts; e.g., most surprising data issue; verification hurdles; what additional evidence needed)

Pedagogical and ethical requirements:
- Elicit scientific reasoning and explicit uncertainty handling
- Require reproducible documentation and proper citation
- Embed integrity-by-design (visible process, originality)

Tone: academic, supportive, and plain-language for non-AI experts.

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.

[Paste syllabus excerpt, assignment draft, or relevant context here]
5

Prompt 5: Redesign a Measurement and Calibration Assignment

Purpose: Emphasize calibration, error propagation, and validation against analytic/sanity checks.

Act as an experienced instructional designer and science educator.

Design a ready-to-use assignment template for [Insert Discipline] in [Insert Course/Program] for [Insert Student Level] students who have prior knowledge of [Insert Topic or Learning Focus]. (e.g., introductory undergrad, graduate.) This assignment should be [Insert Formative or Summative] and worth [Insert Assessment Weight]. (e.g., 15% of final grade.) Scope/duration: [Insert Assignment Scope/Duration]. (e.g., 2 weeks, one 3-hour lab.)

Inputs:
- Materials: [Insert Assignment/Topic or Docs Attached]
- AI Use Policy: [Insert AI Use Policy] (e.g., permitted with citation, permitted for planning only, not permitted)

Produce a student-facing prompt faculty can copy and run immediately, with these labeled sections:
- Assignment Overview
- Learning Outcomes (3-5)
- Scenario Brief (instrument, range, calibration data, constraints)
- Student Task & Deliverables (calibration, uncertainty propagation, validation vs. reference/analytic checks)
- Process Artifacts (e.g., raw data, calibration table, propagation worksheet, assumptions log)
- Success Criteria & Rubric Hooks (criteria phrased for rubric; e.g., calibration fit justified; propagation correct; validation passes with limits noted; safety protocols followed)
- Debrief Plan (3-5 prompts; e.g., largest error source; suitability-for-use decision; how calibration would change for a different range)

Pedagogical and ethical requirements:
- Elicit scientific reasoning and explicit uncertainty handling
- Require reproducible documentation and proper citation
- Embed integrity-by-design (visible process, originality)

Tone: academic, supportive, and plain-language for non-AI experts.

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.

[Paste syllabus excerpt, assignment draft, or relevant context here]
6

Prompt 6: Redesign a Multi-Framework Scientific Reasoning Assignment

Purpose: Apply two frameworks to the same problem and reconcile for a justified synthesis.

Act as an experienced instructional designer and science educator.

Design a ready-to-use assignment template for [Insert Discipline] in [Insert Course/Program] for [Insert Student Level] students who have prior knowledge of [Insert Topic or Learning Focus]. (e.g., introductory undergrad, graduate.) This assignment should be [Insert Formative or Summative] and worth [Insert Assessment Weight]. (e.g., 15% of final grade.) Scope/duration: [Insert Assignment Scope/Duration]. (e.g., 2 weeks, one 3-hour lab.)

Inputs:
- Materials: [Insert Assignment/Topic or Docs Attached]
- AI Use Policy: [Insert AI Use Policy] (e.g., permitted with citation, permitted for planning only, not permitted)

Produce a student-facing prompt faculty can copy and run immediately, with these labeled sections:
- Assignment Overview
- Learning Outcomes (3-5)
- Scenario Brief (problem, data, assumptions, constraints)
- Student Task & Deliverables (apply Framework A; apply Framework B; reconcile; synthesize into a justified conclusion)
- Process Artifacts (e.g., assumptions log, comparison table, divergence notes)
- Success Criteria & Rubric Hooks (criteria phrased for rubric; e.g., frameworks correctly applied; assumptions/limits explicit; reconciliation fair; synthesis defensible)
- Debrief Plan (3-5 prompts; e.g., where frameworks agree/disagree; key assumption driving differences; when you’d prefer A vs. B)

Pedagogical and ethical requirements:
- Elicit scientific reasoning and explicit uncertainty handling
- Require reproducible documentation and proper citation
- Embed integrity-by-design (visible process, originality)

Tone: academic, supportive, and plain-language for non-AI experts.

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.

[Paste syllabus excerpt, assignment draft, or relevant context here]
7

Prompt 7: Redesign a Science Communication Assignment (Expert ↔ Stakeholder)

Purpose: Translate one analysis into two audience-appropriate artifacts with reflection on choices.

Act as an experienced instructional designer and science educator.

Design a ready-to-use assignment template for [Insert Discipline] in [Insert Course/Program] for [Insert Student Level] students who have prior knowledge of [Insert Topic or Learning Focus]. (e.g., introductory undergrad, graduate.) This assignment should be [Insert Formative or Summative] and worth [Insert Assessment Weight]. (e.g., 15% of final grade.) Scope/duration: [Insert Assignment Scope/Duration]. (e.g., 2 weeks, one 3-hour lab.)

Inputs:
- Materials: [Insert Assignment/Topic or Docs Attached]
- AI Use Policy: [Insert AI Use Policy] (e.g., permitted with citation, permitted for planning only, not permitted)

Produce a student-facing prompt faculty can copy and run immediately, with these labeled sections:
- Assignment Overview
- Learning Outcomes (3-5)
- Scenario Brief (audience, decision context, constraints)
- Student Task & Deliverables (expert memo; stakeholder brief from the same analysis)
- Process Artifacts (e.g., assumption log, uncertainty note, translation rationale)
- Success Criteria & Rubric Hooks (criteria phrased for rubric; e.g., accuracy maintained; uncertainty communicated; audience-fit achieved; inclusive language used)
- Debrief Plan (3-5 prompts; e.g., translation trade-offs; what you omitted/added; how audience changed recommendations)

Pedagogical and ethical requirements:
- Elicit scientific reasoning and explicit uncertainty handling
- Require reproducible documentation and proper citation
- Embed integrity-by-design (visible process, originality)

Tone: academic, supportive, and plain-language for non-AI experts.

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.

[Paste syllabus excerpt, assignment draft, or relevant context here]
8

Prompt 8: Redesign an Ethics-in-Science Assignment

Purpose: Integrate ethics, safety, and integrity-by-design into scientific decision-making.

Act as an experienced instructional designer and science educator.

Design a ready-to-use assignment template for [Insert Discipline] in [Insert Course/Program] for [Insert Student Level] students who have prior knowledge of [Insert Topic or Learning Focus]. (e.g., introductory undergrad, graduate.) This assignment should be [Insert Formative or Summative] and worth [Insert Assessment Weight]. (e.g., 15% of final grade.) Scope/duration: [Insert Assignment Scope/Duration]. (e.g., 2 weeks, one 3-hour lab.)

Inputs:
- Materials: [Insert Assignment/Topic or Docs Attached]
- AI Use Policy: [Insert AI Use Policy] (e.g., permitted with citation, permitted for planning only, not permitted)

Produce a student-facing prompt faculty can copy and run immediately, with these labeled sections:
- Assignment Overview
- Learning Outcomes (3-5)
- Scenario Brief (stakeholders, risks, constraints)
- Student Task & Deliverables (options analysis, safeguards, recommendation with rationale)
- Process Artifacts (e.g., risk log, consent/data plan if applicable, citations)
- Success Criteria & Rubric Hooks (criteria phrased for rubric; e.g., risks identified; safeguards feasible; ethics/privacy respected; reasoning transparent)
- Debrief Plan (3-5 prompts; e.g., toughest trade-off; stakeholder impacted most; what safeguard you’d add next)

Pedagogical and ethical requirements:
- Elicit scientific reasoning and explicit uncertainty handling
- Require reproducible documentation and proper citation
- Embed integrity-by-design (visible process, originality)

Tone: academic, supportive, and plain-language for non-AI experts.

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.

[Paste syllabus excerpt, assignment draft, or relevant context here]
9

Prompt 9: Redesign a Replication and Robustness Assignment

Purpose: Focus on replication, robustness checks, and transparent reporting.

Act as an experienced instructional designer and science educator.

Design a ready-to-use assignment template for [Insert Discipline] in [Insert Course/Program] for [Insert Student Level] students who have prior knowledge of [Insert Topic or Learning Focus]. (e.g., introductory undergrad, graduate.) This assignment should be [Insert Formative or Summative] and worth [Insert Assessment Weight]. (e.g., 15% of final grade.) Scope/duration: [Insert Assignment Scope/Duration]. (e.g., 2 weeks, one 3-hour lab.)

Inputs:
- Materials: [Insert Assignment/Topic or Docs Attached]
- AI Use Policy: [Insert AI Use Policy] (e.g., permitted with citation, permitted for planning only, not permitted)

Produce a student-facing prompt faculty can copy and run immediately, with these labeled sections:
- Assignment Overview
- Learning Outcomes (3-5)
- Scenario Brief (study/system, data, constraints)
- Student Task & Deliverables (replication plan, results, robustness checks, comparison to target)
- Process Artifacts (e.g., prereg notes if applicable, deviations log, environment/versioning)
- Success Criteria & Rubric Hooks (criteria phrased for rubric; e.g., replication plan feasible; deviations transparent; robustness checks informative; comparison fair)
- Debrief Plan (3-5 prompts; e.g., biggest deviation and why; which check changed confidence; how to improve replicability)

Pedagogical and ethical requirements:
- Elicit scientific reasoning and explicit uncertainty handling
- Require reproducible documentation and proper citation
- Embed integrity-by-design (visible process, originality)

Tone: academic, supportive, and plain-language for non-AI experts.

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.

[Paste syllabus excerpt, assignment draft, or relevant context here]
10

Prompt 10: Redesign an Interdisciplinary Team Science Assignment

Purpose: Coordinate roles, evidence, and integration across multiple scientific subfields.

Act as an experienced instructional designer and science educator.

Design a ready-to-use assignment template for [Insert Discipline] in [Insert Course/Program] for [Insert Student Level] students who have prior knowledge of [Insert Topic or Learning Focus]. (e.g., introductory undergrad, graduate.) This assignment should be [Insert Formative or Summative] and worth [Insert Assessment Weight]. (e.g., 15% of final grade.) Scope/duration: [Insert Assignment Scope/Duration]. (e.g., 2 weeks, one 3-hour lab.)

Inputs:
- Materials: [Insert Assignment/Topic or Docs Attached]
- AI Use Policy: [Insert AI Use Policy] (e.g., permitted with citation, permitted for planning only, not permitted)

Produce a student-facing prompt faculty can copy and run immediately, with these labeled sections:
- Assignment Overview
- Learning Outcomes (3-5)
- Scenario Brief (problem, subfields involved, constraints)
- Student Task & Deliverables (role plans, integration milestones, final product with synthesis)
- Process Artifacts (e.g., decision log, version control, integration tests, contribution map)
- Success Criteria & Rubric Hooks (criteria phrased for rubric; e.g., roles clear; evidence integrated; conflicts resolved; equitable credit)
- Debrief Plan (3-5 prompts; e.g., integration challenge hardest to solve; how credit was allocated; what you’d change in team process)

Pedagogical and ethical requirements:
- Elicit scientific reasoning and explicit uncertainty handling
- Require reproducible documentation and proper citation
- Embed integrity-by-design (visible process, originality)

Tone: academic, supportive, and plain-language for non-AI experts.

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.

[Paste syllabus excerpt, assignment draft, or relevant context here]