AI in the Classroom (Teacher Survey)

Captures usage, opportunities, risks and training needs around AI at schools or universities – as a basis for guidelines and professional development planning.

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AI in the Classroom (Teacher Survey) – questionnaire preview

Few topics move schools and universities as much as generative AI right now: some use it to prepare lessons, others worry about assessment and data protection – and many faculties lack a common position. This template gives school leadership, departments and academic developers an honest picture: who uses AI for what, where do educators see opportunities for individual support and workload relief, where risks for assessment and original work, and what training is needed? The survey is anonymous and can be adapted for students or parents with minimal changes.

When should you use this template?

This template is a great fit for:

  • Before drafting AI guidelines for a school or university
  • To plan professional development along actual needs
  • As an annual repeat to track how the faculty evolves

Every question in this template

  1. 1

    At which type of institution do you mainly teach? *

    Single choice
    • Primary school
    • Secondary school (lower)
    • Secondary school (upper)
    • Vocational school
    • University / higher education
  2. 2

    How often do you use AI tools (e.g. ChatGPT) for your teaching? *

    Single choice
    • Never
    • Rarely
    • Monthly
    • Weekly
    • (Almost) daily
  3. 3

    What do you already use AI for?

    Multiple answers possible.

    Multiple choice
    • Preparing lessons or courses
    • Creating materials and tasks
    • Differentiation and support material
    • Feedback on texts and marking
    • My own professional learning
    • Not at all
  4. 4

    Opportunities of AI in teaching

    How much do you agree with the following statements?

    Matrix
    Strongly disagreeDisagreeNeutralAgreeStrongly agree
    AI helps me support learners more individually.
    AI noticeably relieves me of routine tasks.
    Reflective use of AI is part of media literacy today.
  5. 5

    Risks of AI in teaching

    How much do you agree with the following statements?

    Matrix
    Strongly disagreeDisagreeNeutralAgreeStrongly agree
    Learners submit AI-written texts as their own work.
    Fair assessment becomes harder because of AI.
    Data protection around AI use is unresolved.
    Learners lose basic skills.
  6. 6

    Does your institution have binding rules on AI use?

    Single choice
    • Yes, clear rules
    • In progress
    • No
    • I don't know
  7. 7

    How big is your personal training need on AI?

    Single choice
    • No need
    • Low
    • Medium
    • High
    • Very high
  8. 8

    What support on AI would you like from your leadership?

    Long text

From questionnaire to dashboard

The dashboard shows where your faculty stands on AI – and what to do first:

  • Usage & purposes: Usage frequency and purposes as bar charts – from drafting worksheets to giving feedback on texts.
  • Opportunities vs. risks: Both matrix blocks contrasted as diverging bars: does your faculty see AI more as relief or as a threat to assessment practice?
  • Clarity of rules: The donut on binding rules shows how urgently a common guideline is needed.
  • Training needs by school type or subject: Training needs crossed with school type or department as a heatmap – so you plan offers where they are needed.
  • Requests to leadership: The open question on desired support, clustered via AI topic analysis – the agenda for your next staff meeting.

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Frequently asked questions

Can we use the template for students as well?
Yes. Duplicate the survey and adapt the wording (e.g. “for homework” instead of “for lesson preparation”). Separate surveys for educators and learners can be compared in the same DataLion dashboard.
How do we ensure anonymity in a faculty?
No personal data is collected. In small faculties, avoid overly fine filter questions (e.g. subject combined with school type) and only analyse groups of five or more.
Does the template reflect German state-level guidelines?
The template is deliberately neutral, as guidelines vary between German states (and countries). It captures the baseline at your institution – concrete rules follow from the requirements that apply to you.

Start with this template

Load the template into DataLion, adapt it to your brand and start collecting responses — GDPR-compliant, in minutes.

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