During the summer semester, the Department of Computer Science carried out a unique experiment aimed at testing the use of artificial intelligence as a virtual teaching assistant. The AI assistant was specifically designed and “trained” for the course Unconventional Algorithms and Computing.
A total of 60 students participated in the project, with 24/7 access to the AI assistant through a web interface. The virtual tutor was multilingual and served not only as interactive study materials but also as an advisor and guide when solving laboratory tasks.

“Students used it, for example, to explain complex algorithms and procedures, check for errors in programming code, quickly obtain supplementary study materials, and arrange individual consultations at any time of day or night,” explains Professor Ivan Zelinka, who teaches the Unconventional Algorithms and Computing course.

At the end of the semester, a survey was conducted. Students most often highlighted the assistant’s availability, quick responses, and the opportunity to receive learning support outside regular consultation hours. “We wanted to test how AI can complement the teacher’s work in practice and provide students with continuous support. The results showed that this tool clearly makes sense and holds great potential among students,” Zelinka adds.

The next step is to expand the use of AI assistants to other courses, particularly in the fields of cybersecurity and quantum computing, where they can significantly enhance independent student work and preparation for modern technological challenges.