Academic Integrity and Cheating Culture Survey
Measures how common cheating really is, which behaviors students consider acceptable, and what actually drives the decision to cut corners — for schools and departments auditing their academic integrity culture. An AI follow-up interview reconstructs the reasoning behind a specific incident instead of settling for a guilt-laden yes/no.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
In the past academic year, how often have you used a method you knew broke your school's academic integrity rules (e.g., copying answers, unauthorized notes, using AI tools without disclosure) on graded work?
- Never
- Once
- A few times
- Regularly
- Prefer not to answer
How would you classify each of the following, if a student did it?
- Copying homework answers from a classmate
- Using AI to write an essay without disclosing it
- Bringing prohibited notes into a closed-book exam
- Sharing exam questions with students who haven't taken it yet
- Paraphrasing a source without citing it
How much pressure do you feel to earn top grades?
Which of these plays the biggest role in why students cheat, and which the smallest?
- Fear of failing the course
- Not enough time to prepare
- Grades feel more important than learning
- Unclear rules about what's allowed
- Belief that everyone else does it too
- Pressure from parents or family
- Coursework harder than what was taught
- Belief that penalties are rarely enforced
If your school had 100 points to spend on reducing cheating, how would you split them across these approaches?
- Clearer rules with concrete examples
- Smaller classes or more proctoring
- Harsher penalties for violations
- Redesigning assignments to be harder to copy
- Teaching better time-management skills
- Anonymous ways to report cheating
How confident are you that your school enforces its academic integrity policy consistently, regardless of who's involved?
Have you personally witnessed another student cheat in the last semester?
- Yes, multiple times
- Yes, once
- No
- Not sure
The last time you saw (or strongly suspected) cheating, what did you do?
- Reported it to an instructor or official
- Talked to the student directly
- Mentioned it to friends but no one official
- Ignored it
- Wasn't sure what to do
- This hasn't happened to me
Reconstruct one concrete, recent moment tied to cheating from the respondent's own experience — either something they did, something they witnessed, or a moment they were tempted and didn't. Anchor on what led up to it, what they were thinking at the decision point, and what happened afterward (caught, not caught, guilt, no reaction). If they deny any personal involvement or witnessing, redirect to how they believe their peers rationalize it and what would have to change for them to report it themselves.
That's the last question about behavior — a few quick background questions next, all optional.
What's your current year or grade level?
- Middle school
- High school - underclassman
- High school - upperclassman
- Undergraduate
- Graduate
- Prefer not to say
What's your major or primary field of study? (Feel free to leave this blank.)
How do you describe your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
Thank you for your honesty — this kind of question is hard to answer truthfully, and we appreciate it. Your responses will be combined with others to shape clearer policies and less punitive, more effective ways to support academic integrity.
What’s included
AI follow-ups
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Attention checks
Built-in safeguards against rushed answers and low-quality respondents.
AI-drafted copy
Wording, ordering, and branching written by the AI — tuned to your research goal.
Auto report
Themes, quotes, and a plain-English summary write themselves once responses come in.
How it compares
We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.
Why this template
- Includes an AI follow-up interview that reconstructs the concrete reasoning behind a specific cheating incident, rather than stopping at a guilt-laden yes/no
- Combines a matrix classifying which behaviors count as cheating with MaxDiff and constant-sum questions to rank and weight the actual drivers of cheating
- Captures both perceived pressure (opinion scale) and perceived enforcement fairness (opinion scale) so integrity culture and stress can be cross-analyzed
- Uses conversational conversational message framing to set anonymity expectations up front and closes with a debrief message, softening a sensitive topic while still collecting year, major, and gender for segmentation
Jotform
School Cheating Survey Form TemplateA ready-to-field, drag-and-drop form template focused on cheating behaviors, built on Jotform's general-purpose form builder. It's a static questionnaire meant for quick deployment and embedding rather than a research instrument designed around behavioral analysis. Good for a lightweight, low-cost rollout, but it doesn't probe the reasoning behind any single incident.
What it does well
- Fast to customize and deploy via drag-and-drop form builder
- Broad integrations with other apps/workflows typical of Jotform
- Likely offers a free tier for basic use
Where it falls short
- Static question set with no adaptive AI follow-up to probe individual incidents
- No voice AI interview option or guided screen-share tasks
- No automated per-response quality scoring or transparent prompt methodology
QuestionPro
School Cheating Survey Questions + Sample Questionnaire TemplateA structured sample questionnaire on school cheating, positioned within QuestionPro's broader survey and research platform, which typically adds reporting/analytics on top of the template. It's a fielding-ready set of questions, but it is a fixed questionnaire rather than an interview that adapts to each respondent's answers. Best suited for standard incidence tracking rather than reconstructing why a specific incident occurred.
What it does well
- Sample questionnaire built with established survey research practices
- Backed by QuestionPro's analytics and reporting tooling
- Likely supports common quantitative question types (scales, multiple choice) for benchmarking
Where it falls short
- No adaptive AI follow-up interview to reconstruct the story behind a specific cheating incident
- No voice AI interview or guided task/screen-share capability
- No published transparent prompt methodology or automated quality scoring per response
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.