TY - JOUR
KW - AI Literacy
KW - Artificial Intelligence in Education
KW - European Countries Comparison
KW - Higher Education Research
KW - Policy Development
AU - Christian M. Stracke
AU - Dai Griffiths
AU - Dimitra Pappa
AU - Senad Bećirović
AU - Edda Polz
AU - Loredana Perla
AU - Annamaria Di Grassi
AU - Stefania Massaro
AU - Marjana Prifti Skenduli
AU - Daniel Burgos
AU - Veronica Punzo
AU - Denise Amram
AU - Xenia Ziouvelou
AU - Dora Katsamori
AU - Sonja Gabriel
AU - Nurun Nahar
AU - Johannes Schleiss
AU - Paul Hollins
AB - This paper analyses 15 AI policies for higher education from eight European countries, drawn from individual universities, from consortia of universities and from government agencies. Based on an overview of current research findings, it focuses the comparison of different aspects among the selected AI policies. The analysis distinguishes between four potential target groups, namely students, teachers, education managers and policy makers. The paper aims at contributing to the further development and improvement of AI policies for higher education through the identification of commonalities and gaps within the existing AI policies. Moreover, it calls for further and in particular evidence-based research to identify the potential and practical impact of AI in higher education and highlights the need to combine AI use in (higher) education with education about AI, often called as AI literacy.
IS - Regular issue
M1 - 2
N2 - This paper analyses 15 AI policies for higher education from eight European countries, drawn from individual universities, from consortia of universities and from government agencies. Based on an overview of current research findings, it focuses the comparison of different aspects among the selected AI policies. The analysis distinguishes between four potential target groups, namely students, teachers, education managers and policy makers. The paper aims at contributing to the further development and improvement of AI policies for higher education through the identification of commonalities and gaps within the existing AI policies. Moreover, it calls for further and in particular evidence-based research to identify the potential and practical impact of AI in higher education and highlights the need to combine AI use in (higher) education with education about AI, often called as AI literacy.
PY - 2025
SE - 124
SP - 124
EP - 137
T2 - International Journal of Interactive Multimedia and Artificial Intelligence
TI - Analysis of Artificial Intelligence Policies for Higher Education in Europe
UR - https://www.ijimai.org/journal/bibcite/reference/3553
VL - 9
SN - 1989-1660
ER -