Perspectives of academic staff on artificial intelligence in higher education: exploring areas of relevance


Mah, Dana-Kristin ; Knoth, Nils ; Egloffstein, Marc


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DOI: https://doi.org/10.3389/feduc.2025.1484904
URL: https://www.frontiersin.org/journals/education/art...
URN: urn:nbn:de:bsz:180-madoc-696071
Dokumenttyp: Zeitschriftenartikel
Erscheinungsjahr: 2025
Titel einer Zeitschrift oder einer Reihe: Frontiers in Education
Band/Volume: 10
Heft/Issue: Article 1484904
Seitenbereich: 1-13
Ort der Veröffentlichung: Lausanne
Verlag: Frontiers Media
ISSN: 2504-284X
Sprache der Veröffentlichung: Englisch
Einrichtung: Fakultät für Betriebswirtschaftslehre > Wirtschaftspädagogik, Technologiebasiertes Instruktionsdesign (Ifenthaler 2015-)
Bereits vorhandene Lizenz: Creative Commons Namensnennung 4.0 International (CC BY 4.0)
Fachgebiet: 370 Erziehung, Schul- und Bildungswesen
Abstract: Despite the recent increase in research on artificial intelligence in education (AIED), studies investigating the perspectives of academic staff and the implications for future-oriented teaching at higher education institutions remain scarce. This exploratory study provides initial insight into the perspectives of 112 academic staff by focusing on three aspects considered relevant for sustainable, future-oriented teaching in higher education in the age of AI: instructional design, domain specificity, and ethics. The results indicate that participants placed the greatest importance on AIED ethics. Furthermore, participants indicated a strong interest in (mandatory) professional development on AI and more comprehensive institutional support. Faculty who perceived AIED instructional design as important were more likely to use AI-based tools in their teaching practice. However, the perceived relevance of AIED domain specificity and ethics did not predict AI tool integration, which suggests an intention–behavior gap that warrants further investigation into factors such as AI literacy and structural conditions in higher education. The findings may serve as a basis for further discussion and development of adequate support services for higher education teaching and learning in the age of AI.




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