AI in Coursework: Student Integrity & Policy Attitudes
Measures student attitudes toward AI tool usage in academic settings, integrity concerns, and preferred institutional safeguards. Designed for higher-education administrators and faculty seeking data to inform responsible AI-use policies.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
How familiar are you with AI tools that can be used for learning or coursework?
How concerned are you about AI-related academic integrity issues at your school?
Rank the following AI guardrails by importance to you (1 = most important).
- Require disclosure of AI use
- Allow AI for brainstorming with citation
- Redesign assignments to reduce copy-paste answers
- Use AI detection only as a flag with human review
- Limit AI on high-stakes or take-home exams
- Provide tutorials on ethical AI use
Tell us more about your experience with AI tools in your coursework. What has worked well, and what challenges have you faced?
What is your current learner status?
- High school student
- Undergraduate student
- Graduate student
- Bootcamp or online program
- Continuing education / professional development
- Not currently enrolled (independent learner)
Thank you for completing this survey. Your feedback will help shape responsible AI policies in education. Your responses are confidential and will be reported only in aggregate.
Have you used any AI tool for coursework in the last 30 days?
- Yes
- No
Briefly describe any AI-related academic integrity situations you have observed or are concerned about.
How supportive are you of your school implementing formal AI-use guidelines for coursework?
Based on your responses in this survey, please share any additional thoughts or feelings about AI's role in your learning experience.
What is your age group?
- 16–17
- 18–24
- 25–34
- 35–44
- 45–54
- 55+
Which AI tools have you used for coursework in the last 30 days? Select all that apply.
- ChatGPT / OpenAI
- Google Gemini
- Microsoft Copilot (Bing/Office)
- Perplexity
- Grammarly
- Khanmigo
- GitHub Copilot
- Other
Overall, how do you view AI's role in learning?
What would help you use AI responsibly in your coursework? Select all that apply.
- Clear examples of allowed uses
- Citation and disclosure guidelines
- AI literacy workshop or module
- Built-in AI in the LMS with guardrails
- Office hours for AI questions
- Course-specific AI instructions
- Recommended safe tools list
- Other
What is your primary field of study or focus?
- Arts & Humanities
- Business & Management
- Computer Science / IT
- Data Science / Statistics
- Education
- Engineering
- Health & Medicine
- Law / Public Policy
- Natural Sciences
- Social Sciences
- Other
In the last 30 days, how often did you use AI tools for researching or gathering information for coursework?
If your school offered vetted AI tools with built-in guidelines, how likely would you be to use them?
Which region do you primarily live in?
- Africa
- Asia
- Europe
- Middle East
- North America
- Oceania
- South America
- Prefer not to say
In the last 30 days, how often did you use AI tools for writing, editing, or paraphrasing coursework?
What is your gender?
- Woman
- Man
- Non-binary
- Prefer not to say
In the last 30 days, how often did you use AI tools for brainstorming or generating ideas?
포함된 기능
AI 후속 질문
정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.
주의력 확인 장치
성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.
AI가 작성한 문안
문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.
자동 리포트
응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.
다른 서비스와 비교
다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.
이 템플릿을 선택하는 이유
- Purpose-built for higher-education administrators and faculty, covering AI tool usage frequency, academic integrity concerns, and support for institutional AI-use guidelines — not just generic student data.
- Includes a ranking question on AI guardrails and opinion-scale items on support for formal policies, giving administrators prioritized, policy-actionable data.
- Combines an open-text integrity-incident question with an adaptive AI follow-up interview, letting the survey probe individual students' actual experiences with AI tools in coursework rather than stopping at closed-ended answers.
- Ends with an auto-generated report design and demographic breakdowns (learner status, field of study, region, age) so results can be segmented by student population for policy targeting.
SurveySparrow
Student Information Collection Form TemplateThis is a basic student information/enrollment intake form, not a survey on AI attitudes or academic integrity. It's fielding-ready for collecting contact and enrollment details but has no content related to AI usage, integrity concerns, or policy attitudes. Useful only as a generic student-data collection reference, not a comparable attitudes study.
잘하는 점
- Ready-to-field static form for basic student data collection
- Likely simple to set up and customize for enrollment/contact fields
- Fits general education-audience use case on the platform
아쉬운 점
- No content addressing AI tool usage, integrity, or policy attitudes — wrong subject matter entirely
- Static form fields only, no adaptive follow-up probing or AI interview capability
- No automated quality scoring or per-response analysis of open-ended input
Typeform
Student Data FormAnother general-purpose student data collection form, likely aimed at capturing demographic or administrative details rather than measuring attitudes or behaviors. It shares an education audience with QuestionPunk's template but not the subject matter — there's no indication it addresses AI use, integrity, or institutional policy. Best viewed as a data-intake form rather than a research instrument.
잘하는 점
- Clean, conversational form-fill experience typical of Typeform templates
- Ready to deploy for straightforward student data intake
- Likely mobile-friendly given Typeform's format
아쉬운 점
- No coverage of AI tool usage, academic integrity, or policy attitudes topics
- No adaptive AI interview or voice interview options for deeper qualitative insight
- No transparent prompt methodology or automated response quality scoring
설문을 공개할 준비가 되셨나요?
이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.