AI in the Pisa study: Opportunities and risks of chatbots in an educational context

The Pisa study showed that frequent use of chatbots in school is associated with poorer performance. This finding raises questions about how AI tools should be used in the educational context to identify both opportunities and risks. Chatbots can serve as teaching tools to aid learning, but their overuse could hinder the development of basic skills. The study underlines the importance of a balanced use of digital tools in the educational process.

The effective use of AI tools often requires targeted application, for example by carefully formulating prompts or splitting prompt chains. A webinar from the heise offering shows how this technology can be used to optimize AI work and improve results. This involves the use of context and the targeted control of AI systems in order to fully exploit their potential.

In addition to education, AI is increasingly used in other areas. For example, Nvidia and Palantir are testing AI-enabled logistics solutions on Nvidia’s own supply chain. This shows how AI systems can be used in complex processes to increase efficiency and accuracy. At the same time, the Cyber Resilience Act (CRA) underlines that companies must adapt to new legal requirements to ensure the security and resilience of their systems.

The integration of AI into education and the world of work therefore requires not only technical, but also educational and legal considerations. It is crucial to recognize the benefits of AI tools, but also to consider their limitations and risks. The Pisa study and other sources show that a conscious use of AI systems is crucial for success in education and the world of work.

## What this means for users The AI modules in xynap can be used in the educational context to optimize the use of AI tools such as chatbots and to control their impact on learning.