How do AI educators use open educational resources? A cross-sectoral case study on OER for AI education


Rampelt, Florian ; Ruppert, Raffael ; Schleiss, Johannes ; Mah, Dana-Kristin ; Bata, Katharina ; Egloffstein, Marc


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DOI: https://doi.org/10.55982/openpraxis.17.1.766
URL: https://openpraxis.org/articles/10.55982/openpraxi...
URN: urn:nbn:de:bsz:180-madoc-697491
Document Type: Article
Year of publication: 2025
The title of a journal, publication series: Open Praxis
Volume: 17
Issue number: 1
Page range: 46-63
Place of publication: Preston
Publishing house: Cammor
ISSN: 1369-9997 , 2304-070X
Publication language: English
Institution: Business School > Wirtschaftspädagogik, Technologiebasiertes Instruktionsdesign (Ifenthaler 2015-)
Pre-existing license: Creative Commons Attribution 4.0 International (CC BY 4.0)
Subject: 004 Computer science, internet
370 Education
Keywords (English): AI education , AI literacy , OER , MOOCs , online courses , K–12 , school education , higher education , tertiary education , professional education
Abstract: Artificial Intelligence (AI) literacy is essential for society as a whole. While general frameworks and resources to support self-directed learning on AI are widely available, research on how to support AI educators, particularly those without AI expertise (non-experts), using external materials and resources is relatively scarce. This article explores the potential of open educational resources (OER) to enhance AI education, with a specific focus on the requirements and practices of AI educators. Through a case study of the AI Campus learning platform, the article examines how educators from diverse sectors such as school education, higher education and professional education utilise OER for AI education. The study aimed to identify patterns of OER usage, AI educator motivations and the sector-specific integration of OER into teaching practices. A survey study of 260 educators from Germany, Austria, and Switzerland using AI Campus content revealed that educators prefer smaller, modular OER formats and value suitable, high-quality and accessible content. The reputation of the person or institution that created the OER content does not seem to play a major role. Sector-specific differences could be observed in particular with regard to full online courses, face-to-face learning scenarios and the AI learning objectives of an educator. By focusing on educators’ perspectives, the study provides insight into how AI education can be strengthened across sectors through the use of OER materials and ultimately benefit learners through suitable, high-quality content and adequate AI learning scenarios.




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