Analysis of Artificial Intelligence Policies for Higher Education in Europe: Country reports

This document presents the country reports that were used as the basis for the analysis of 15 AI policies for higher education from eight European countries, drawn from individual universities, from consortia of universities and from government agencies. The results of this analysis are published in a journal paper. This journal paper focuses the comparison of different aspects among the selected AI policies based on an overview of current research findings. 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.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-05
DOI
https://doi.org/10.5281/zenodo.14811951
Primary Topic
Phytochemistry and biological activities of Ficus species
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Artificial Intelligence Policies for Higher Education in Europe: Country reports

Zenodo (CERN European Organization for Nuclear Research)
Phytochemistry and biological activities of Ficus species
article

Analysis of Artificial Intelligence Policies for Higher Education in Europe: Country reports

article en

Abstract

This document presents the country reports that were used as the basis for the analysis of 15 AI policies for higher education from eight European countries, drawn from individual universities, from consortia of universities and from government agencies. The results of this analysis are published in a journal paper. This journal paper focuses the comparison of different aspects among the selected AI policies based on an overview of current research findings. 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.

Zenodo (CERN European Organization for Nuclear Research)
University of Bonn (DE)
Quality Education
Openalex Percentile: Top 44%
Phytochemistry and biological activities of Ficus species
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.