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University of Graz Teaching and Learning with Artificial Intelligence Resources
  • Training Offerings
  • For Teachers
  • For Students
  • AI Tools at the Uni Graz
  • Options for AI labeling
  • Resources
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Resource pool

On this page you will find a variety of resources on the topic of "Teaching and learning with artificial intelligence". Browse through articles, guidelines and audio and video contributions from experts.

Orientation Guidelines
Text Templates for Course Descriptions
Digital Learning Path: “Using AI in Your Studies”
Assessment and AI
Academic Writing
Case Studies, Recordings, and More
Materials to Be Distributed to Students
eCampus Use Cases

Orientation Guidelines

Orientation Guidelines for Dealing with Text-Generating AI Systems at the University of Graz

Templates for course descriptions in relation to the use of (text) generative AI systems

The "Orientation guidelines for dealing with text-generating AI systems at the University of Graz" recommends proactively promoting the use of text-generating AI systems in studies and teaching. It is up to the lecturers to decide whether and in what form text-generating AI systems are used in courses. The respective form of use must be indicated in the course description. The four text modules available for download here serve as (modifiable) templates.

It is recommended to insert the text modules in the "Note" field in the course description.

Please note the following points when using the text templates:

  • Each text template can be customized according to the intended use of text-generative AI systems in the course.
  • Please make sure that the wording used in the course description is designed in such a way that it corresponds to the actual use of text-generative AI tools in the course and in the performance assessment.
  • When reusing the (modified) text templates in future semesters, please check whether the chosen wording is still valid.
  • You can of course also integrate your own wording on the use of text-generative AI systems into your course description that is not based on the text templates.
  • Students must not be obliged to use external AI systems and should in any case be made aware that data processing takes place to varying degrees (often not in compliance with the GDPR) when using AI services and that input texts can generally be used to further develop the respective services.

The text modules are licensed under the Creative Commons License CC BY-NC-SA 4.0, University of Graz, and are an adaptation of the document "KI-Transparenz im Syllabus" published under the license CC BY-NC-SA, Birgit Phillips, FH JOANNEUM.

Text templates as PDF (German & English)
Text templates as .docx (German & English)

Digital Learning Path: "Using AI in Your Studies"

Infopage for the Digital Learning Path
Digitale Lernstrecke [Deutsch] (Moodle-Link)
Digital Learning Path [English] (Moodle Link)

Assessment and AI

Handout: Exam Design & AI (in German)
Diskussionspapier: Vision einer neuen Prüfungskultur
KI in der akademischen Prüfungsbewertung

Academic Writing

Guideline: Documentation and Labeling of AI Usage
Checklist Responsible Use of Generative AI Systems in Academic Writing (pdf)
Checklist: Responsible Use of Generative AI Systems in Academic Writing (Word)

Case Studies, Recordings, and More

Uni Graz Use Cases: AI in my teaching (digiTALES Episodes)
Webinar Recordings from the Center for Digital Teaching and Learning
Webinar Series „AI in Teaching and Learning"

Webinar Series „AI in Teaching and Learning: International Perspectives and Best Practices“ from the Arqus University Alliance. Insights into teaching practices and ideas for the pedagogically sound use of artificial intelligence.

Materials for students

Poster: "Generative KI: Ressourcen für Studium und Lehre an der Universität Graz" [in German]

The poster can also be ordered in print format for events and courses (Contact: schreibzentrum@uni-graz.at).

eCampus Use Cases [in German]

KI-Kompetenzen vermitteln

Wie Lernziele und Methoden dem geänderten Kompetenzbedarf bezüglich künstlicher Intelligenz angepasst werden können

Generative KI-Sprachmodelle zur Individualisierung der Lernprozesse einsetzen

Wie Tools wie ChatGPT das Lernen personalisieren können

Fragen und Tests mit generativer KI erstellen

LMS-Tests und KI-Tools zum regelmäßigen Testen nutzen

Künstliche Intelligenz zur Unterrichtsvorbereitung verwenden

Wie (generative) KI-Sprachmodelle Lehrende bei der Planung und Vorbereitung von Lehreinheiten unterstützen können

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