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.
The Trinational Round Table on Artificial Intelligence brought researchers from Czech, German and Austrian universities to the Faculty of Applied Sciences in Pilsen. My short presentation at 13:20 focused on a course design in which generative AI is integrated into practical engineering work and its use is made explicit.
The teacher-facing workflow begins with lecture recordings transcribed through UWebASR. The recordings and transcripts remain private. Derived materials include compact summaries, points discussed beyond the slides, key concepts and a glossary. A specialised course chatbot then supports interactive explanation and exam preparation.
The student-facing workflow is built around an end-to-end IoT project. Teams connect sensors, server infrastructure, API calls and a customer interface while Aimtec acts as the industrial customer and IoT Lab ZČU supports hardware and 3D-printing work. Students can use generative AI for architecture brainstorming, code generation, debugging and presentation preparation.
The assessment requires disclosure of every AI tool used and a convincing explanation of the submitted system. This keeps technical comprehension, team responsibility and communication visible even when AI accelerates prototyping.
The complete presentation slides are available as a PDF. The related detailed teaching article describes the five student teams, the warehouse-monitoring assignment, the workshop format and our experience with AI-supported course materials.
Abstract
This presentation outlines a practical pedagogical framework integrating Generative AI into the Internet Technologies course at the University of West Bohemia. As teachers, we actively leverage AI tools for automated speech recognition and generating comprehensive course summaries. This approach significantly streamlines the educational process and enhances content accessibility for students. Instead of restricting students' use of AI, we incorporate it into semester projects developed in direct collaboration with an industrial partner. Students design complete IoT solutions, including hardware sensors, server infrastructure and API calls, utilizing AI for code generation, debugging, and soft-skills development. Following strict transparency requirements, students must disclose AI usage and demonstrate deep understanding of their solutions. Furthermore, a specialized educational chatbot is introduced for interactive exam preparation to evaluate the practical benefits of this AI-enhanced curriculum.
Links
- Presentation slides: The complete seven-slide PDF presented at the Trinational Round Table.
- Detailed teaching article: A fuller account of the course design, student projects, AI transparency and private preparation of learning materials.
- Official event programme: The programme, venue and organisational information for the 2026 Trinational Round Table on Artificial Intelligence.
- Aimtec: The industry partner acting as the customer for the semester project.
- IoT Lab ZČU: The university makerspace supporting hardware prototyping and 3D printing.
- UWebASR: The speech-recognition service used to prepare private lecture transcriptions.