Business simulation academic integrity and responsible AI guide
Set assistance rules before students play, protect private information, require transparent disclosure, and verify reasoning with evidence instead of guessing who did the work.
A fair simulation policy tells students which assistance is allowed for each stage, requires a short record of permitted support, preserves the original run evidence and revisions, and asks every student to explain part of the work. The goal is not to ban useful support. It is to keep the learning evidence visible and the student's decisions genuinely theirs.
1. Define
Label assistance as allowed, allowed with disclosure, or not allowed for this task.
2. Disclose
Record who or what helped, the purpose, and what was accepted or rejected.
3. Document
Keep settings, raw results, calculations, notes, drafts, and revision reasons.
4. Defend
Explain a decision, calculation, tradeoff, limitation, and next test.
Choose an assistance rule for each stage
Do not rely on a single sentence such as “AI is allowed.” Different stages create different learning evidence. Copy this matrix into the assignment and change any row to match school policy, student age, access, and the intended outcome.
Assignment stage
Usually reasonable support
Evidence students should preserve
Teacher decision to publish
Understand directions
Text-to-speech, translation, vocabulary explanation, teacher or peer clarification
Questions asked and any meaning that needed checking
Allowed / disclose / not allowed
Plan a test
Brainstorm possible variables or metrics, then choose independently
Original prediction, chosen variable, constants, and reason
Allowed / disclose / not allowed
Operate the simulator
Assigned team roles and accessibility support
Settings, scenario, run order, and unedited results
Allowed / disclose / not allowed
Calculate results
Calculator or spreadsheet when named; worked example for method
Formula, substituted values, units, and reasonableness check
Allowed / disclose / not allowed
Interpret evidence
Prompts that ask students to compare or challenge their own claim
Student's first explanation, contradictory evidence, and revision
Allowed / disclose / not allowed
Write or present
Spelling, grammar, organization, rehearsal, and accessible formatting if permitted
Draft before assistance, change record, sources, and disclosure
Allowed / disclose / not allowed
Copy-ready policy statement
“Your team may use the supports marked allowed in the assignment matrix. Disclose any person, AI system, translator, editor, calculator, or other tool that materially shaped the work. Preserve your original simulation settings, results, calculations, drafts, and revisions. Every student must be able to explain the team's evidence and their own contribution. Never enter personal, confidential, or identifying information into an external tool.”
Make the evidence trail easy
Save or copy the baseline settings before changing anything.
Label every run with scenario, variable, and run number.
Show formulas with values and units, not only final answers.
Keep one early claim and show why it was retained or revised.
Attach the assistance disclosure even when the entry is “none.”
Ask each teammate to initial the contribution record.
Protect privacy and access
Use fictional names and simulation data only.
Do not upload student work unless school policy and consent permit it.
Do not enter names, grades, contact details, credentials, accommodations, health information, or private business data.
Offer a no-AI route with equivalent time and learning expectations.
Do not reward access to a particular paid account or device.
Check age, account, data-use, and retention rules before naming any external service.
Printable student page
Assistance and AI disclosure log
Student/team:
Simulator and task:
Assistance used: person, tool, AI system, translator, calculator, editor, or “none”
Date and assignment stage:
Purpose:
Prompt, question, or request:
Useful suggestion or output, summarized in my own words:
What I accepted, changed, or rejected—and why:
How I checked it against simulation evidence, calculations, instructions, or a reliable source:
Files or evidence preserved:
Student confirmation: I did not enter personal or confidential information, and I can explain the decisions and evidence submitted. Signature/initials: ____________________
Use a four-minute oral verification check
Ask the same four evidence questions across students, but let students point to notes, results, formulas, or accessible communication supports. This checks understanding more directly than writing style or an automated authorship score.
Decision: What did your team change, and what stayed constant?
Evidence: Show one calculation or result that influenced the recommendation.
Tradeoff: Which metric, stakeholder, or responsible constraint prevents a simple “maximize profit” answer?
Limit and next step: What can the model not prove, and what fair test should come next?
Fairness check: assess accuracy, evidence use, and capacity to revise. Do not assess speed, eye contact, accent, confidence, handwriting, or disability-related communication differences. Provide wait time and alternate response modes when needed.
12-point transparent-work rubric
Criterion
3 — clear
2 — partial
1 — limited
0 — missing
Evidence trail
Settings, results, formulas, and revisions are traceable.
Most evidence is traceable; one gap remains.
Only final values or fragments remain.
No usable evidence trail.
Disclosure
All material help is specific, complete, and connected to changes.
Help is named but purpose or changes are incomplete.
Disclosure is vague or added only after prompting.
Required disclosure is absent.
Verification
Student accurately explains and checks decisions, math, and claims.
Explanation is mostly accurate with one supported correction.
Explanation depends on prompts and cannot connect key evidence.
No evidence of understanding yet.
Judgment
Recommendation addresses tradeoffs, limits, guardrails, and a next test.
Recommendation addresses most elements.
Recommendation overclaims or misses key constraints.
No evidence-bounded recommendation.
If evidence is missing or explanations conflict, pause the grade and request clarification under the school's normal procedure. A gap is a reason to investigate fairly, not automatic proof of misconduct.
Respond to concerns without guessing
Return to the policy students received before the task.
Describe the specific evidence gap or inconsistency without accusation.
Review run records, calculations, drafts, revision history, sources, and disclosure.
Invite the student to explain the work using the same oral-check criteria.
Consider accessibility, language support, collaboration rules, and permitted tools.
Follow school procedures and document the decision. Do not treat an automated detector as conclusive proof.
This classroom guide is not legal advice and does not replace school, district, institution, labor, privacy, accessibility, or academic-conduct policies. Use authoritative local policy when requirements differ.
Academic integrity and AI FAQ
Can students use AI for a business simulation assignment?
That depends on the published task policy. Distinguish support such as brainstorming or editing from evidence interpretation and final reasoning students must complete and explain. Require disclosure for any permitted material assistance.
How should students disclose AI assistance?
Record the tool or person, date, purpose, relevant prompt or request, what was used or rejected, and how the output was checked. The printable log above provides those fields.
How can a teacher verify individual understanding in team work?
Ask each student to explain one decision, calculation, tradeoff, and limitation using the team's actual evidence. Assess the reasoning rather than confidence, speed, or speaking style.
What information should never be entered into an AI tool?
Do not enter student names, grades, contact details, credentials, private business information, health or disability information, or other personal data. Use fictional or de-identified simulation evidence only.
Does an AI detector prove academic misconduct?
No automated indicator should be treated as conclusive proof. Review the policy, evidence trail, disclosure, student explanation, and school procedures before deciding.