Recommendations for students

Recommendations

Where permitted, AI tools can support students in their learning, research and writing and open up new opportunities for individualised in-depth study of course content. At the same time, they require conscious and responsible use, particularly with regard to transparency, examination performance, data protection and academic honesty.

The following recommendations for action provide students with a compact overview of how AI systems can be used in a reflected, compliant and learning-promoting manner during their studies. They are based on the checklist for the legally compliant use of AI and the AI traffic light system for the examination context.

Create transparency

Integrating AI into your own learning in a meaningful way

Observe data protection and copyright

Do not enter any personal, confidential or copyright-protected content into AI systems.
You should preferably use the AI services provided by the university, especially if you are working with course-related materials. You can find an overview on the page AI systems & tools.
A compact overview of all legal requirements before, during and after use is provided by the Checklist for the legally compliant use of AI.
Check whether the use of a tool is compatible with data protection and, if you have any questions, contact theInformation Security and Data Protection Unit.

AI in examinations

For each examination, check the applicable traffic light colour and the associated scope of permitted AI use. Lecturers regulate this via the AI traffic light system and communicate the respective traffic light colour in the assignment, in the OLAT course or in KLIPS. If no arrangement is recognisable, ask early on!
Document your use of AI in the Appendix on the use of AI tools (tool used, purpose, sections affected, critical examination). Attach a prompt/output minutes if requested.
Please note: Unauthorised or unmarked use of AI can be assessed as an attempt to cheat in accordance with the examination regulations framework.

Building AI competences in a targeted manner

Use AI consciously as support - and take responsibility for content, decisions and delivery. Plan your use of AI in such a way that it enables learning, not just produces results.
Develop a fixed checking routine for AI results: Technical - are logic, reasoning and facts correct? Source-critical - can evidence and sources be verified? Ethical/legal - are copyright, data protection and academic integrity respected?
Actively address the risks of using AI - e.g. bias, hallucinations, apparent plausibility or dependency effects.
Take advantage of the university's training and self-study programmes to develop your AI competencies in a targeted manner. The acquisition of AI competences is mandatory according to Art. 4 of the European AI Regulation. You can find an overview here.

Monitor developments

Bear in mind that AI systems are developing rapidly and that their functional scope, risks and performance can change at short notice.
Stay informed about internal university developments, new services and updated recommendations. All important information is published on the centralService page on AI at the University of Koblenz bundled.
If you have any questions, uncertainties or need clarification, please contact theauthorised representative for artificial intelligence.

The most important things at a glance

Create transparency: Know the traffic light colour and rules for AI use; document AI use.

Integrating AI into learning: Use AI as support; critically scrutinise results.

Observe data protection and copyright: Do not enter any personal, confidential or protected content.

AI in examinations: Check permissible scope; enclose declaration of independence and annex.

Building AI competences: Develop testing routine; utilise training opportunities.

Observe developments: Stay informed; the AI authorised representative provides support with questions.

Exams and AI

An AI traffic light system for using generative AI in an exam setting. Includes a brief overview, “AI Traffic Light at a Glance,” for students

Data Protection, Copyright, and the AI Act

A checklist for the legally compliant use of generative AI services