loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Susmita Rudra 1 ; Peter Weber 1 ; Tanja Tillmanns 2 ; Alfredo Salomão Filho 2 ; Emma Wiersma 3 ; Julia Dawitz 3 ; Dovile Dudenaite 4 and Sally Reynolds 4

Affiliations: 1 Competence Center E-Commerce (CCEC), South Westphalia University of Applied Sciences, Soest, Germany ; 2 The Innovation in Learning Institute (ILI), Friedrich-Alexander-University, Erlangen-Nürnberg, Germany ; 3 Teaching & Learning Centre Science, University of Amsterdam, Amsterdam, Netherlands ; 4 Media & Learning Association, Roosbeek, Belgium

Keyword(s): Generative AI, Higher Education, Perception, Survey Results.

Abstract: The integration of Generative Artificial Intelligence (GenAI) in higher education offers transformative opportunities alongside significant challenges for both educators and students. This study, part of the ERASMUS+ project Teaching and Learning with Artificial Intelligence (TaLAI), aims to explore the familiarity, usage patterns, and perceptions of GenAI in academic settings. A survey of 152 students (mainly from Germany, Belgium, and the Netherlands) and 118 educators (81 professors, 37 trainers) reveals widespread GenAI use, with ChatGPT being the most common tool. Findings indicate both enthusiasm for GenAI’s potential benefits and concerns regarding ethical implications, academic integrity, and its impact on learning processes. While students and educators recognize GenAI’s ability to enhance learning and productivity, uncertainties persist regarding assessment practices and its potential short and long-term effects on various aspect such as decision making, creativity, and mem ory performance. The study also highlights gaps in institutional support and policy, emphasizing the need for clearer communication to ensure responsible AI adoption. This paper contributes to the ongoing discussions on GenAI in higher education and is aimed at educators, policymakers, and researchers concerned with its responsible use. By addressing students’ and educators' both perspectives and concerns, institutions and policymakers can develop well-informed strategies and guidelines that promote responsible and effective use of GenAI, ultimately enhancing the overall teaching and learning experience in academic environments. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 216.73.216.108

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Rudra, S., Weber, P., Tillmanns, T., Filho, A. S., Wiersma, E., Dawitz, J., Dudenaite, D., Reynolds and S. (2025). Use and Perception of Generative AI in Higher Education: Insights from the ERASMUS+ Project 'Teaching and Learning with Artificial Intelligence' (TaLAI). In Proceedings of the 17th International Conference on Computer Supported Education - Volume 2: CSEDU; ISBN 978-989-758-746-7; ISSN 2184-5026, SciTePress, pages 319-330. DOI: 10.5220/0013360200003932

@conference{csedu25,
author={Susmita Rudra and Peter Weber and Tanja Tillmanns and Alfredo Salomão Filho and Emma Wiersma and Julia Dawitz and Dovile Dudenaite and Sally Reynolds},
title={Use and Perception of Generative AI in Higher Education: Insights from the ERASMUS+ Project 'Teaching and Learning with Artificial Intelligence' (TaLAI)},
booktitle={Proceedings of the 17th International Conference on Computer Supported Education - Volume 2: CSEDU},
year={2025},
pages={319-330},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013360200003932},
isbn={978-989-758-746-7},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 17th International Conference on Computer Supported Education - Volume 2: CSEDU
TI - Use and Perception of Generative AI in Higher Education: Insights from the ERASMUS+ Project 'Teaching and Learning with Artificial Intelligence' (TaLAI)
SN - 978-989-758-746-7
IS - 2184-5026
AU - Rudra, S.
AU - Weber, P.
AU - Tillmanns, T.
AU - Filho, A.
AU - Wiersma, E.
AU - Dawitz, J.
AU - Dudenaite, D.
AU - Reynolds, S.
PY - 2025
SP - 319
EP - 330
DO - 10.5220/0013360200003932
PB - SciTePress