All templates
Education & Academic

Instructor Readiness for AI Integration

This survey assesses instructor preparedness to integrate artificial intelligence into teaching, covering technology proficiency, AI literacy, pedagogical confidence, institutional support, professional development needs, and workload concerns. Estimated completion time: 10 minutes.

Sample questions

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

25 questions · ~11 min
Q01
Multiple Choice

Do you currently hold a teaching role (full-time, part-time, or adjunct) at a college or university?

  • Yes
  • No
Q02
Message

Welcome to the Instructor AI Readiness Survey. This survey explores your experiences with technology and artificial intelligence in teaching. Your participation is completely voluntary, and you may stop at any time. There are no right or wrong answers — we are interested in your honest opinions and experiences. All responses are anonymous and will be reported only in aggregate for institutional research and planning purposes. The survey takes approximately 10 minutes to complete. By continuing, you consent to participate.

Q03
Multiple Choice

How often do you use digital technology tools (e.g., learning management systems, presentation software, online collaboration platforms) in your teaching?

  • Never
  • A few times per semester
  • A few times per month
  • Weekly
  • Daily or almost daily
Q04
Opinion Scale

How would you rate your current understanding of what artificial intelligence is and how it works?

Scale: 17
Min:No understanding at allMax:Very thorough understanding
Q05
Opinion Scale

How confident are you in your ability to select appropriate AI tools for specific pedagogical goals?

Scale: 17
Min:Not at all confidentMax:Extremely confident
Q06
Opinion Scale

To what extent do you agree with the following statement: My institution provides adequate support for instructors who want to integrate AI into their teaching.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q07
Multiple Choice

Which of the following professional development formats would be most useful to you for learning about AI in teaching? (Select up to 3.)

  • Hands-on workshops (in-person)
  • Online self-paced modules
  • Live webinars or virtual workshops
  • Peer learning communities or faculty circles
  • One-on-one coaching or mentoring
  • Conference sessions or symposia
  • Curated resource libraries (guides, videos, articles)
  • Other (please specify)
Q08
Opinion Scale

How concerned are you that integrating AI tools into your teaching will significantly increase your workload?

Scale: 17
Min:Not at all concernedMax:Extremely concerned
Q09
AI Interview

We'd like to understand more about your personal experience. What do you see as the biggest challenge or opportunity regarding AI in your teaching?

Q10
Dropdown

Which of the following best describes your primary academic discipline?

  • Arts & Humanities
  • Social Sciences
  • Business & Management
  • Education
  • Natural Sciences
  • Engineering & Computer Science
  • Health Sciences & Medicine
  • Law
  • Mathematics & Statistics
  • Other (please specify)
Q11
Message

Thank you for completing the Instructor AI Readiness Survey. Your responses will help shape AI integration strategies and professional development opportunities at your institution. If you have any questions about this research, please contact [researcher email].

Q12
Opinion Scale

How would you rate your overall proficiency with educational technology tools?

Scale: 17
Min:Complete noviceMax:Expert
Q13
Multiple Choice

Which of the following statements about generative AI (e.g., ChatGPT, Copilot) are accurate? (Select all that apply.)

  • Generative AI creates new content based on patterns in its training data
  • Generative AI always produces factually accurate information
  • Generative AI can exhibit biases present in its training data
  • Generative AI understands and reasons about content the same way humans do
  • Generative AI outputs can vary even with the same prompt
  • I'm not sure about any of these
Q14
Opinion Scale

How confident are you in your ability to design learning activities that meaningfully integrate AI tools?

Scale: 17
Min:Not at all confidentMax:Extremely confident
Q15
Opinion Scale

To what extent do you agree with the following statement: My institution has clear policies or guidelines regarding AI use in teaching.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q16
Multiple Choice

Which of the following AI-related topics would be most valuable for your professional development? (Select all that apply.)

  • Introduction to AI concepts and terminology
  • Prompt engineering and effective use of AI tools
  • AI-enhanced assessment and feedback strategies
  • Academic integrity in the age of AI
  • Using AI for course design and content creation
  • AI ethics, bias, and responsible use
  • Discipline-specific AI applications
  • Other (please specify)
Q17
Multiple Choice

How much additional time per week, if any, do you estimate AI integration would require during the initial adoption period?

  • No additional time
  • Less than 1 hour
  • 1–2 hours
  • 3–4 hours
  • 5 or more hours
  • I have no idea
Q18
Long Text

Based on your responses in this survey, please share any additional thoughts or feelings about AI integration in teaching.

Q19
Dropdown

How many years have you been teaching at the college or university level?

  • Less than 2 years
  • 2–5 years
  • 6–10 years
  • 11–20 years
  • More than 20 years
Q20
Multiple Choice

Which of the following technology tools do you currently use in your teaching? (Select all that apply.)

  • Learning management system (e.g., Canvas, Blackboard, Moodle)
  • Video conferencing (e.g., Zoom, Teams)
  • Presentation tools (e.g., PowerPoint, Google Slides)
  • Student response systems (e.g., Poll Everywhere, iClicker)
  • Online collaboration tools (e.g., Google Docs, Miro)
  • Plagiarism detection (e.g., Turnitin)
  • AI-powered tools (e.g., ChatGPT, Grammarly, AI grading assistants)
  • Other (please specify)
Q21
Multiple Choice

Have you used any AI-powered tools (e.g., ChatGPT, Grammarly, AI-assisted grading) for any purpose related to your teaching?

  • Yes, regularly
  • Yes, a few times
  • No, but I plan to
  • No, and I have no current plans to
Q22
Opinion Scale

How confident are you in your ability to guide students in using AI tools ethically and effectively?

Scale: 17
Min:Not at all confidentMax:Extremely confident
Q23
Opinion Scale

To what extent do you agree with the following statement: There is a supportive community of colleagues at my institution with whom I can discuss AI in teaching.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q24
Multiple Choice

Which of the following concerns, if any, do you have about integrating AI into your teaching? (Select all that apply.)

  • Academic integrity and student plagiarism
  • Accuracy and reliability of AI-generated content
  • Equity and access for all students
  • Data privacy and security
  • Lack of training or support
  • AI replacing the role of the instructor
  • Keeping up with rapidly changing technology
  • I have no significant concerns
  • Other (please specify)
Q25
Multiple Choice

What is your current employment status at your institution?

  • Full-time / Tenured or tenure-track
  • Full-time / Non-tenure-track
  • Part-time / Adjunct
  • Graduate teaching assistant
  • Other (please specify)

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

  • Purpose-built for AI integration readiness, not generic PD — covers technology proficiency, AI literacy, pedagogical confidence, institutional support, and workload concerns in one flow
  • Includes an adaptive AI follow-up interview that probes an instructor's personal experience with AI in teaching, going beyond fixed-choice questions
  • Combines opinion-scale confidence measures (tool selection, activity design, ethical guidance) with an open-text reflection question for richer qualitative context
  • Automated per-response quality scoring and auto-generated reports mean results are analysis-ready without manual coding of open-ended responses

Jotform

Professional Development Needs Assessment Form Template

This is a general-purpose PD needs assessment template, not one focused specifically on AI readiness or instructor technology proficiency. It's a fielding-ready static form that could be adapted but would need significant editing to cover AI literacy, workload concerns, or institutional AI support. Good for basic PD topic/format preference gathering, but shallower than a purpose-built AI readiness instrument.

What it does well

  • Ready-to-use, customizable form builder interface
  • Established template for general professional development needs gathering
  • Easy for institutions already using Jotform for other forms

Where it falls short

  • Static question set with no adaptive follow-up probing into individual responses
  • Not tailored to AI-specific literacy, confidence, or institutional-support constructs
  • No automated qualitative scoring or synthesized reporting on open responses

SurveyMonkey

Professional Development Survey Template (14+ Questions)

A broader professional development survey template rather than one designed around AI integration readiness specifically. It's a fixed, fielding-ready question set suitable for general training feedback, but would require heavy customization to capture AI literacy, pedagogical confidence with AI, or workload/time-cost concerns. Useful as a generic PD benchmarking tool rather than an AI-readiness diagnostic.

What it does well

  • Established survey platform with broad distribution and analytics tooling
  • Pre-built 14+ question structure covering general PD topics
  • Familiar interface for institutions already using SurveyMonkey

Where it falls short

  • No adaptive AI-driven follow-up questions — all respondents see the same static items
  • Not designed around AI-specific constructs like tool proficiency, ethical guidance confidence, or institutional AI policy clarity
  • No built-in automated scoring or synthesis of open-ended responses

Ready to launch?

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

Related templates

More studies from the same category.

See all
Education & Academic

Academic Integrity in the Age of AI

A research survey examining how AI tools are reshaping academic integrity norms among college and university students. Covers policy awareness, personal usage patterns, acceptability perceptions, peer behavior observations, and policy recommendations.

View template
Education & Academic

Faculty Perspectives on AI in Grading & Assessment

An academic research survey exploring faculty attitudes, concerns, and readiness regarding AI-assisted grading and assessment tools. Covers current practices, openness to adoption, concerns about bias/accuracy/privacy, training needs, and willingness to participate in controlled experiments.

View template
Education & Academic

AI Ethics Awareness Survey for Students

An academic instrument measuring student awareness of, exposure to, and attitudes toward artificial intelligence ethics. Covers concept familiarity, training exposure, ethical dilemma responses, regulation views, and willingness to prioritize ethics over convenience. Estimated completion: 8–12 minutes.

View template
Education & Academic

Post-Training Learning Transfer Assessment

Measures how effectively employees apply recent training to their jobs, identifying barriers, enablers, and perceived outcomes to improve learning transfer and training ROI.

View template
Education & Academic

Learner Needs Assessment: Curriculum & Support Priorities

Assesses how well current curriculum, resources, and support structures meet learner needs, identifying gaps and priorities to guide program improvements. Designed for enrolled students or active learners in formal or informal educational settings.

View template
Education & Academic

Survey Instrument Pretest: Clarity, Redundancy & Face Validity

A structured pilot review instrument for expert panelists or cognitive interview participants to evaluate draft survey items on clarity, redundancy, response-option quality, and face validity before fielding.

View template