Our publication (presented at least year ICL conference) about „Prompting.School: A Design-Based Research Approach to Teaching AI Literacy Through Guided Prompt Engineering Practice“ is published now.
Abstract:
We introduce prompting.school, a browser-based learning platform that teaches foundational prompt engineering skills to support AI literacy. Developed using a design-based research approach, the platform was evaluated through four iterative cycles with pre-service and in-service teachers, as well as vocational learners. Aligned with the UNESCO AI Competency Framework and DigComp 2.3 AT, it combines scaffolded lessons, interactive feedback, and real-time AI responses to promote self-regulated learning. Findings show that structured, hands-on prompting practice enhances learners’ understanding, with notable differences in engagement and performance across educational contexts.
[publication @ publisher’s homepage]
[draft @ ResearchGate]
Reference: Brünner, B., Jahic, I., Ebner, M. (2026). Prompting.School: A Design-Based Research Approach to Teaching AI Literacy Through Guided Prompt Engineering Practice. In: Auer, M.E., Toth, P. (eds) Innovation via Collaborative Learning in Engineering Education. ICL 2025. Lecture Notes in Networks and Systems, vol 1848. Springer, Cham. [https://doi.org/10.1007/978-3-032-20381-6_62]
This is an impactful contributions, methodological rigor, and exceptional novelty in the research field of AI in education.