Winter Semester 2026/27 and Summer Semester 2027

AI Tutors 2026/27

At TU Graz, student assistants can complete a qualification for the reflective, didactically sound and high-quality use of AI in teaching.

Apply now at survey.tugraz.at More information for students

Course number 960.010
Format VU
Workload 2 SSt
Language German

TUGRAZonline Winter Semester 2026/27 TUGRAZonline Summer Semester 2027

AI Tutors Concept

Qualification for AI-supported teaching

The qualification is aimed at students who, as student assistants, would like to support teachers at TU Graz in using AI in their teaching. They are trained as AI tutors and learn how AI-supported teaching and learning concepts can be planned, supported and put into practice in a didactically meaningful way.

Its particular value lies in combining AI fundamentals, higher education didactics and project-based work: participants develop concrete use cases for courses, try them out and thus contribute directly to the further development of innovative teaching at TU Graz.

Following a successful pilot as a training programme in the 2025/26 academic year, the AI tutor training is now offered as a course. The concept builds on the successful model of the KI-Tutorinnen und -Tutoren Bayern and has been further developed for the conditions at TU Graz.

Understanding AI

Students learn how generative AI works and try out prompting strategies that make results from AI systems more targeted, more transparent and more didactically meaningful.

Preparing materials

Content, slides, exercise sheets or TeachCenter content are analysed, structured and prepared so that they can be used for high-quality AI-supported applications. Results from AI systems are analysed and checked for quality as part of the course.

Designing teaching

The prepared materials can give rise to concrete use cases for a course unit, or alternatively for a sequence or a semester-long deployment. Alternatively, a system can be designed that supports preparation for or follow-up to teaching.

For Students

You bring AI into teaching

If you are interested in AI and work, or would like to work, as a student assistant in a course at TU Graz, this is your opportunity to deepen your knowledge and become a multiplier for AI-supported teaching. You will learn how AI can be used meaningfully in higher education, prepare learning materials didactically and develop concrete applications for courses from them. You will be supported by the team Future Learning, Analytics and AI for Teaching (FLAAIT) of the organisational unit Educational Technology (LLT).

1/3

Understanding AI and higher education

You learn what generative AI can do, where its limits lie and how AI can be meaningfully integrated into teaching and learning processes.

2/3

Analysing learning materials

You work with existing materials, check their quality and prepare them for AI-supported applications.

3/3

Developing an AI use case

You plan a concrete course unit using AI, or alternatively a sequence or a semester-long deployment. You present your results at the final presentation.

At a glance

You receive a course certificate that can be credited towards free electives.
Registration for the course in TUGRAZonline is carried out by the course instructor in October for the winter semester and in March for the summer semester.
You do not need any knowledge of AI or programming, just an interest in teaching and digital tools.
You work with real teaching materials and use them to develop a concrete, AI-supported learning scenario.
A letter of support from the instructor of the course you work for is recommended.
Your employment as a student assistant does not have to be in the same semester as your participation in the training.

For Teachers

Strengthening AI competence in your course

The AI tutor training gives teachers the opportunity to specifically qualify their student assistants for the use of AI in higher education teaching. The tutors deepen their knowledge of AI, receive didactic training and develop concrete applications for your course – for example by preparing learning materials or trying out AI-supported teaching and learning scenarios. The course is fully supported by the team Future Learning, Analytics and AI for Teaching (FLAAIT) of the organisational unit Educational Technology (LLT). As a teacher, you support your tutors mainly by endorsing their participation, providing access to suitable materials and, where possible, creating space for practical trials in your course.

How to support your AI tutors

1 Endorse participation If you would like to support your student assistants' training as AI tutors, please fill in the template for the letter of support. Students submit it as part of their online application.
The qualification is not provided as training within the scope of employment at TU Graz, but as a free elective course for students.
2 Provide access to materials Suitable materials from your course are helpful for developing concrete AI-supported applications. As part of the course, the tutors examine under guidance which materials are suitable and how they can be prepared for AI.
3 Attend the final presentation At the final presentation at the end of the semester, teachers gain insight into the AI-supported use cases developed by the tutors. The event also offers an opportunity to exchange ideas with other teachers, gather further ideas for using AI in teaching and take away possible starting points for their own course. The date will be announced after the start of the semester.

Template Letter of support