“We Need to Analyze Students GenAI Use”: Towards an AI Adoption Framework for Higher Education

Lasse Bischof, Eva-Maria Schön, Maria Rauschenberger, Michael Neumann

2025

Abstract

Context: Generative AI (GenAI) tools such as ChatGPT are rapidly transforming how students learn and work. While adoption among learners is high, institutional frameworks in higher education often lag behind. Objective: This study pursues two primary objectives: 1) identifying students’ use-cases for GenAI, and 2) synthesizing these into a systematic description how to integrate GenAI into higher education. Method: To address these objectives, we conducted a case study at the University of Applied Sciences and Arts Hannover. We used a questionnaire that included both quantitative and qualitative questions. Results: Our findings reveal that 129 (n=151) of the students use GenAI tools in their studies. Based on a synthesis of the results, we created a systematic description for GenAI integration into higher education. Contributions: We offer specific solutions: with the AI Adoption Framework, higher education institutions will be able to review and adapt their regulations and curricula in relation to GenAI to keep up with the pace of change in the field.

Paper Citation

in Harvard Style

Bischof L., Schön E., Rauschenberger M. and Neumann M. (2025). “We Need to Analyze Students GenAI Use”: Towards an AI Adoption Framework for Higher Education. In Proceedings of the 21st International Conference on Web Information Systems and Technologies - Volume 1: WEBIST; ISBN 978-989-758-772-6, SciTePress, pages 429-438. DOI: 10.5220/0013819000003985

in Bibtex Style

@conference{webist25,
author={Lasse Bischof and Eva-Maria Schön and Maria Rauschenberger and Michael Neumann},
title={“We Need to Analyze Students GenAI Use”: Towards an AI Adoption Framework for Higher Education},
booktitle={Proceedings of the 21st International Conference on Web Information Systems and Technologies - Volume 1: WEBIST},
year={2025},
pages={429-438},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013819000003985},
isbn={978-989-758-772-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 21st International Conference on Web Information Systems and Technologies - Volume 1: WEBIST
TI - “We Need to Analyze Students GenAI Use”: Towards an AI Adoption Framework for Higher Education
SN - 978-989-758-772-6
AU - Bischof L.
AU - Schön E.
AU - Rauschenberger M.
AU - Neumann M.
PY - 2025
SP - 429
EP - 438
DO - 10.5220/0013819000003985
PB - SciTePress