T1.3For teachers, researchers and PhD students

AI for Teachers and Researchers

Safe and Ethical Use of AI in Teaching, Learning and Research

A practical course on using AI in teaching, assessment and research without compromising integrity, privacy or EU requirements.

Registration View topics
  • Registration form coming soon
  • 10 places per group
  • Free of charge
  • Free tools only
  • Erasmus+ participation certificate
10
two-hour sessions
14
of 20 hours are practice
10
participants per group, at most
100
case studies from teaching and research

Documents we work with

  • Digital Education Action Plan 2021-2027
  • DigCompEdu
  • EC Ethical guidelines on AI and data in education
  • EU AI Act
  • GDPR
  • ERA guidelines on generative AI in research
  • Charter of Fundamental Rights of the EU
  • WCAG and EN 301 549
  • ALLEA Code (2023)

About the course

The course was created within the Erasmus+ Jean Monnet project «EU TRUST AI» at NUFT. It is for people who teach, supervise student work, write papers and grant applications, and want to use AI with confidence rather than by trial and error.

Most of the time is practice on your own materials: syllabi, student assignments, texts and data. We work only with free tools or free plans.

What the course covers

12 topics in six parts, combined into 10 sessions. In the last session you present your own action plan.

Part 1

The European framework and competence

  1. Topic 1. Teaching for AI, with AI and about AI: the Digital Education Action Plan 2021-2027

    How the European framework sees the role of AI in education and what follows for your department.

  2. Topic 2. Digital competence of educators: DigCompEdu

    Self-assessment against the framework and a plan to develop your own skills.

Part 2

AI tools in practice

  1. Topic 3. Types of AI models for educators: choosing and using them effectively

    How to choose a tool for the task: literature search and mapping, analysis, writing, teaching.

  2. Topic 4. Practical integration: prompt engineering and productivity

    A prompt protocol, checking references and reproducibility of work done with AI.

Part 3

Ethics, safety, law

  1. Topic 5. From the EC ethical guidelines for educators to practice: GDPR and privacy

    Which data can and cannot be shared with AI services, and how to declare the use of AI.

  2. Topic 6. Transparency and trust: an AI statement in the syllabus

    How to write a clear AI policy for your course, taking into account the AI Act transparency requirements.

Part 4

Assessment and pedagogy

  1. Topic 7. Banning is not the answer: updating assessment strategies

    Why AI detectors do not give reliable proof and how to redesign tasks so they test thinking.

  2. Topic 8. Teaching methods with AI in line with DigCompEdu

    AI as a tutor and assistant: Socratic dialogue, rubrics, feedback.

Part 5

Inclusion and personalisation

  1. Topic 9. AI for inclusion and personalised learning: Article 21 of the Charter

    Universal design for learning and personalisation without discrimination.

  2. Topic 10. Supporting diverse learners: EU accessibility standards

    WCAG and EN 301 549 in practice: how to make materials accessible.

Part 6

Efficiency and administration

  1. Topic 11. Effective strategies: AI to support teachers

    Preparing materials, reports and grant applications, always checked by a human.

  2. Topic 12. AI for everyday admin tasks in line with GDPR

    Correspondence, minutes, schedules: where AI saves time and where it puts data at risk.

After the course you will be able to

  • Choose AI tools for literature search, analysis and teaching, and know their limits
  • Write reproducible prompts and document AI use for papers and reports
  • Decide which data can and cannot be shared with AI services
  • Write an AI use statement for your syllabus
  • Redesign tasks and assessment so that AI does not replace learning
  • Make learning materials accessible to diverse learners
  • Declare the use of AI in publications and grant applications

Why it matters for teachers and researchers

Students already use AI. The question is whether we teach them to do it honestly and safely.

Publisher and funder requirements

Journals and grant programmes increasingly require authors to declare AI use. You will know what to declare and how.

Assessment needs updating

AI detectors do not give reliable proof. The course shows how to change tasks instead of fighting the tools.

Time saved without risk

AI takes routine work off correspondence, reports and materials, as long as you know where the line is for personal data.

A result for your course

You leave with a portfolio and an action plan for your course or research. The course can be recognised as non-formal education under the NUFT regulation.

How the course works

  1. Registration

    Submit an application. Groups are up to 10 people, so places are limited.

  2. Entry test

    12 questions and a confidence scale to tailor the sessions to the group.

  3. 10 sessions

    Short theory and a workshop on your own materials.

  4. Portfolio

    After the sessions, portfolio items: a prompt protocol, an AI use declaration, an updated assignment.

  5. Action plan and certificate

    In the final session you present your plan for introducing AI and receive an Erasmus+ participation certificate.

What you will have at hand

Trainers

15 trainers following the course sessions: the AI Act, privacy, detectors, accessibility, integrity.

Open

Teacher and researcher case bank

100 case studies: teaching, publications, grants, AI policies - with steps and prompts.

Open

Workshop

Live formats for your own classes: quiz, team boards, scenarios and quests.

Open

Registration

Registration form coming soon

Places
10 places per group

After you register, we will contact you to agree on the group and the session schedule.

The registration form will appear soon

We are preparing the form. Please check back a little later.

Registration is currently open for:

Frequently asked questions

Who is the course for?

Early-career teachers, researchers and PhD students in any field. No technical background is needed.

How many people are in a group?

Up to 10, so that every session includes practice with your own materials. Two groups study each year.

What do I need for the certificate?

Attend at least 8 of the 10 sessions, complete the portfolio (at least 6 of 9 items) and present your action plan. There are no points or grades.

Will the course be recognised?

For PhD students, as non-formal education under the NUFT regulation (1.5 ECTS credits). Recognition as professional development for teachers is being clarified.

Do I need paid services?

No. We work only with free tools or free plans.

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