Academic Integrity Case Review and Documentation Framework

Create a fair, evidence-based academic integrity case review that separates facts, allegations, policy criteria, student response, procedural steps, and authorized decisions.

Professional Prompt Template

Academic Integrity Case Review and Documentation Framework

Create a fair, evidence-based academic integrity case review that separates facts, allegations, policy criteria, student response, procedural steps, and authorized decisions.

Best suited for: ChatGPT Claude Gemini
💬
Ready to Use

Complete Prompt

🪄 Prompt Playground

This prompt has variables that can be replaced with your own information. Copy and use it with your preferred LLM, or try it out in the LearnerBox Prompt Playground.

Act as an experienced higher-education academic integrity officer or faculty case reviewer.

Organize and review the academic integrity case information below.

Course and assessment context:
{{course_assessment}}

Relevant policy and procedure:
{{policy_procedure}}

Evidence:
{{case_evidence}}

Student explanation or response:
{{student_response}}

Prior procedural steps:
{{procedural_history}}

Reviewer role and decision authority:
{{reviewer_authority}}

Review requirements:

1. Create a neutral chronology of events.
2. Separate:
   - allegation;
   - verified fact;
   - disputed fact;
   - inference;
   - missing information;
   - policy requirement; and
   - authorized decision.
3. Map each allegation to the exact supplied policy language.
4. Assess evidence for relevance, reliability, provenance, completeness, and alternative explanation.
5. Consider the student’s response fairly and identify points requiring clarification.
6. Do not treat text-matching scores, AI-detection scores, writing-style differences, or unsupported assumptions as conclusive proof.
7. Identify whether procedural requirements have been completed, including:
   - notice;
   - opportunity to respond;
   - documentation;
   - conflicts;
   - confidentiality;
   - timelines;
   - appeal information; and
   - decision authority.
8. Create a list of questions for a meeting or further review.
9. Identify possible outcomes only from the supplied policy.
10. Do not determine guilt, sanction, or intent unless the user is authorized and the supplied policy and evidence support that step.
11. Do not invent policy language, prior history, evidence, personal circumstances, or student intent.
12. Protect confidential and personally identifying information.
13. State where legal, disability, international-student, privacy, or procedural specialist review may be required.

Present the result as:
{{output_format}}

Include:
- neutral case summary;
- chronology;
- allegation-to-policy map;
- evidence table;
- student-response summary;
- disputed and missing facts;
- procedural-compliance checklist;
- questions for further review;
- authorized outcome options;
- documentation gaps; and
- next-step checklist.
Personalize the Template

Customization Variables

Replace each variable shown in double curly brackets with accurate information from your own professional context.

{{course_assessment}}

Course and Assessment Context

Required

Example: Describe course, assessment, instructions, permitted assistance, and submission timeline.

Use only the context necessary for review.

{{policy_procedure}}

Relevant Policy and Procedure

Required

Example: Paste the applicable academic integrity definitions, process, standards, outcomes, and appeal rules.

The framework should apply the actual policy, not generic rules.

{{case_evidence}}

Evidence

Required

Example: Describe or paste authorized evidence, source provenance, matching reports, records, and communications.

Remove unnecessary personal identifiers and preserve evidence integrity.

{{student_response}}

Student Explanation or Response

Optional

Example: Provide the student’s statement, meeting notes, or written response.

Represent the student response accurately and neutrally.

{{procedural_history}}

Prior Procedural Steps

Required

Example: List notices, meetings, deadlines, decisions, referrals, and communications completed.

Procedural fairness depends on documented steps.

{{reviewer_authority}}

Reviewer Role and Decision Authority

Required

Example: State whether the user is an instructor, chair, integrity officer, panel member, or administrator.

The output should not exceed the reviewer’s authority.

{{output_format}}

Output Format

Required

Choose the format required by the institutional process.

Case review memorandum Evidence and policy matrix Meeting preparation document Procedural documentation checklist
What the AI Should Produce

Expected Output

🎯

A neutral academic integrity case framework containing chronology, policy mapping, evidence assessment, student response, disputed facts, procedural checks, review questions, authorized options, and next steps.

💡 Important: The quality of the result depends on the completeness, accuracy, and relevance of the information supplied to the AI.
Prompt Profile

Prompt Characteristics

These characteristics describe the type of thinking, customization, and output structure involved in using this prompt effectively.

🧠 Reasoning Depth Advanced
💡 Creativity Low
🛠 Customization High
📚 Output Structure Highly Structured
🎓 Experience Level Advanced
Learn Why It Works

Prompt Anatomy

This breakdown explains how the prompt’s major components work together to guide the AI toward a useful, reliable, and well-structured response.

💼

Role

Positions the AI as an academic integrity case reviewer.

📄

Context

Defines assessment context, policy, evidence, student response, procedural history, and reviewer authority.

🎯

Task

Requires a neutral evidence, policy, and procedure review.

🛡️

Constraints

Prevents unsupported guilt findings, invented policy, intent assumptions, privacy breaches, and decisions beyond authority.

📚

Output Structure

Requires chronology, policy mapping, evidence, response, procedure, questions, options, and next steps.

🔑

Input Variables

Course context, policy, evidence, student response, procedural history, authority, and output format.

Improve the Result

Customization Tips

  1. Paste the exact institutional policy and procedure.
  2. Do not rely on AI-detection or similarity scores as standalone proof.
  3. Separate evidence from inference throughout the document.
  4. Remove unnecessary student identifiers before using an AI tool.
  5. Confirm decision authority before drafting outcomes.
🛡️
Responsible Professional Use

Review Before Applying the Output

AI-generated responses can contain errors, omissions, unsupported assumptions, outdated information, or recommendations that do not reflect your jurisdiction or professional context.

Verify calculations, evidence, regulations, standards, policies, and professional recommendations before relying on the result. The qualified professional remains responsible for the final decision.

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