Jan Švec | honzas.cz
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# AI in Education

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At the National Final of the Czech AI Olympiad

June 22, 2026

AI education becomes tangible when secondary-school students can develop their own solutions and defend them in front of an expert jury. The national final of the Czech AI Olympiad brought this energy to the Faculty of Applied Sciences in Plzeň on 22 June 2026. As an AI ambassador, I guided accompanying teachers around the faculty, gave them a lecture on AI in education and later joined the Public Administration jury.

Programme for accompanying teachers at the Czech AI Olympiad national final

Forecasting cross-border power transit: a bachelor thesis developed with ČEPS

June 16, 2026

Energy systems offer student projects a demanding combination of physical processes, changing conditions and large public datasets. I supervised Martin Horešovský's bachelor thesis on forecasting cross-border electricity transit, developed with external consultant Petr Souček from ČEPS. Martin defended the thesis with the highest grade on 16 June 2026, after taking first place in the bachelor section of the Faculty of Applied Sciences Student Conference.

Portrait preview of the first page of Martin Horešovský's bachelor thesis

AI in education, companies and biotechnology

27-28 April 2026

Artificial intelligence is moving into education, engineering and biotechnology, but each field asks different questions about usefulness and responsibility. In the Naučíme AI podcast, I discussed how people can work with AI without reducing the subject to a single chatbot. The conversation connects university teaching, company adoption and interdisciplinary research through practical examples.

Portrait photograph of Jan Švec and Jakub Baxa recording the Naučíme AI podcast

Transforming Education of Internet Technologies Through Generative AI and Industry Cooperation

April 23, 2026

Students need opportunities to use generative AI inside complete engineering projects where technical decisions remain visible and defensible. At the Trinational Round Table on Artificial Intelligence on 23 April 2026, I presented our Internet Technologies course built around cooperation with Aimtec, makerspace prototyping and transparent AI use. The talk connected AI-supported teaching materials, student-built IoT systems and individual verification that each student understands the submitted solution.

Portrait composition of slides about generative AI in the Internet Technologies course

Judging the Škrábej, kotě! Competition

April 17, 2026

Programming competitions give children a reason to explain how an idea became a working project. At the final of the eighth Škrábej, kotě! competition at Centrum robotiky in Plzeň, I served on the jury and enjoyed listening to girls and boys talk about their first steps in programming. I am curious whether I will meet some of them again one day at AimtecHackathon.

Prizes and the Škrábej, kotě! competition sign at Centrum robotiky in Plzeň

Internet Technologies with generative AI, hardware prototypes and an industry customer

December 15, 2025

Internet technologies become easier to understand when students have to connect sensors, backend services and a customer-facing interface into one working system. In the 2025/2026 winter semester, five teams in our Internet Technologies course developed warehouse-monitoring prototypes with an API and project requirements prepared by Aimtec. Generative AI supported both the student projects and our teaching materials, with transparent reporting of the tools used and an individual defence of each submitted solution.

Portrait preview showing students from the Internet Technologies course during their visit to Aimtec

Teaching in the age of AI: what works and where the limits are

September 1, 2025

Generative AI can turn a lecture into additional learning support, help students practise and give teachers another perspective on their own materials. At AI Monday Pilsen #7 on 1 September 2025, I presented my workflow from a recording and UWebASR transcript to a chronological summary, topics discussed beyond the slides, a glossary and an experimental Custom GPT. The talk also covered practical limitations: input quality, human review, privacy protection and limited feedback about how students use the chatbot.

Portrait preview of the title slide for a presentation about AI in university teaching