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Education & Academic

AI Literacy Self-Assessment for Undergraduates

A validated self-assessment instrument measuring undergraduate AI literacy across five dimensions: conceptual understanding, practical skills, critical evaluation, ethical reasoning, and awareness of limitations. Estimated completion time: 10-12 minutes.

Sample questions

A preview of what’s in the template. Every question is editable before you launch.

33 questions · ~14 min
Q01
Message

Welcome to the AI Literacy Self-Assessment. This survey asks about your experiences with and understanding of artificial intelligence (AI) tools and concepts. There are no right or wrong answers — we are interested in your honest self-assessment of your current knowledge and skills. Your participation is completely voluntary and you may stop at any time. All responses are confidential and will be reported only in aggregate. Results will be used for educational research purposes to better understand AI literacy among undergraduate students. This survey takes approximately 10-12 minutes to complete. By continuing, you indicate that you have read and understood this information and consent to participate.

Q02
Multiple Choice

Are you currently enrolled as an undergraduate student at a college or university?

  • Yes
  • No
Q03
Multiple Choice

How often do you use AI-powered tools (e.g., ChatGPT, Copilot, Gemini, Grammarly, DALL-E) for any purpose?

  • Never
  • A few times a year
  • A few times a month
  • A few times a week
  • Daily or almost daily
Q04
Message

The following statements describe knowledge and skills related to AI concepts. For each statement, please indicate how much you agree or disagree based on your current abilities.

Q05
Opinion Scale

I can use AI-powered tools effectively to help me complete academic tasks (e.g., research, writing, coding).

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q06
Opinion Scale

I can identify when an AI tool has generated inaccurate or fabricated information.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q07
Opinion Scale

I can identify ethical concerns that arise from using AI tools in academic work.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q08
Opinion Scale

I can describe the types of tasks where current AI systems are likely to perform poorly or unreliably.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q09
Opinion Scale

Overall, how would you rate your current level of AI literacy?

Scale: 17
Min:Very lowMax:Very high
Q10
AI Interview

Thinking about your responses throughout this survey, what do you see as the biggest gap in your own AI literacy, and what would help you address it?

Q11
Message

Finally, we have a few questions about your background for classification purposes.

Q12
Multiple Choice

Which of the following AI-powered tools have you used at least once? Select all that apply.

  • ChatGPT
  • Microsoft Copilot
  • Google Gemini
  • Claude
  • Grammarly
  • DALL-E / Midjourney / other image generators
  • GitHub Copilot / coding assistants
  • AI-powered search (e.g., Perplexity, Bing AI)
  • Other AI tools
  • I have never used any AI tools
Q13
Opinion Scale

I can explain the basic concept of artificial intelligence in my own words.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q14
Opinion Scale

I can write clear and specific prompts to get useful results from generative AI tools.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q15
Opinion Scale

I can evaluate whether AI-generated content is well-reasoned and supported by evidence.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q16
Opinion Scale

I can explain the privacy implications of sharing personal or sensitive data with AI tools.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q17
Opinion Scale

I can explain why AI systems sometimes generate confident-sounding but incorrect responses.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q18
Opinion Scale

How prepared do you feel to use AI tools responsibly and effectively in your academic and professional life?

Scale: 17
Min:Not at all preparedMax:Extremely prepared
Q19
Dropdown

What is your current year of undergraduate study?

  • First year / Freshman
  • Second year / Sophomore
  • Third year / Junior
  • Fourth year / Senior
  • Fifth year or beyond
  • Prefer not to say
Q20
Multiple Choice

Have you completed any formal course, workshop, or training that covered artificial intelligence or machine learning concepts?

  • Yes, a full course (e.g., semester-long)
  • Yes, a short workshop or training session
  • No, but I have learned informally (e.g., online videos, articles)
  • No, I have no formal or informal AI education
Q21
Opinion Scale

I can describe how a machine learning model learns patterns from data.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q22
Opinion Scale

I can choose the most appropriate AI tool for a specific task from among the options available to me.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q23
Opinion Scale

I can recognize potential biases in the outputs produced by AI systems.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q24
Opinion Scale

I can evaluate whether using an AI tool in a specific academic situation would be considered a violation of academic integrity.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q25
Opinion Scale

I can identify situations where it would be inappropriate or risky to rely on AI-generated outputs.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q26
Dropdown

Which of the following best describes your primary field of study?

  • Computer Science / Information Technology
  • Engineering
  • Natural Sciences (e.g., Biology, Chemistry, Physics)
  • Mathematics / Statistics
  • Social Sciences (e.g., Psychology, Sociology, Political Science)
  • Business / Economics
  • Humanities (e.g., English, History, Philosophy)
  • Arts / Design / Media
  • Health Sciences / Nursing
  • Education
  • Other
  • Undeclared / Undecided
  • Prefer not to say
Q27
Opinion Scale

I can explain the difference between AI that follows predefined rules and AI that learns from examples.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q28
Opinion Scale

I can modify and refine AI-generated outputs to improve their quality and relevance for my needs.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q29
Opinion Scale

I can verify AI-generated claims by cross-referencing them with credible sources.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q30
Opinion Scale

I can articulate how AI systems might perpetuate or amplify societal inequities.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q31
Opinion Scale

I understand that AI systems do not truly comprehend or understand information the way humans do.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q32
Dropdown

What is your age?

  • 18 or under
  • 19-20
  • 21-22
  • 23-25
  • 26-30
  • 31 or older
  • Prefer not to say
Q33
Opinion Scale

I can describe what training data is and why it matters for AI system performance.

Scale: 17
Min:Strongly disagreeMax:Strongly agree

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.

Why this template

What this template is built to do — we found no directly comparable template from other survey tools to review.

What sets it apart

  • Includes an AI follow-up interview question that asks respondents to reflect on the biggest gap in their AI literacy after seeing their own scale responses, enabling deeper, personalized probing that a static form cannot replicate
  • Structured across the five stated dimensions (conceptual understanding, practical skills, critical evaluation, ethical reasoning, awareness of limitations) with dedicated opinion-scale items for each, rather than a generic single-topic checklist
  • Opens with screening questions (enrollment status, tool usage frequency, prior AI training) so responses can be segmented by actual undergraduate experience level before the literacy items begin
  • Closes with classification questions (year of study, field of study, age) enabling cross-tab analysis of AI literacy by academic background, and produces an auto-generated report from the collected data

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.

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