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Generative Artificial Intelligence in Higher Education : Mediating Learning for Literacy Development

Title data

Hönigsberg, Sarah ; Watkowski, Laura Marie-Luise ; Drechsler, Andreas:
Generative Artificial Intelligence in Higher Education : Mediating Learning for Literacy Development.
In: Communications of the Association for Information Systems. Vol. 56 (April 2025) .
ISSN 1529-3181

Official URL: Volltext

Abstract in another language

We investigate the integration of generative artificial intelligence (GAI), such as ChatGPT, into higher education courses and assignments to understand how GAI tools mediate learning and support the development of students’ subject and GAI literacy. By investigating the embedding of GAI into educational contexts, we address both the opportunities and challenges of GAI in higher education teaching. Utilizing technology-mediated learning (TML) theory, our case study explores how incorporating ChatGPT and other GAI tools into courses and assignments can enhance learning outcomes, foster interactive and collaborative learning, support critical thinking, and prepare students for professional use of GAI. We examine the role of GAI tools in facilitating learning and reflect on the implications for teachers and higher education institutions. Our findings demonstrate that GAI tools can mediate learning by bridging subject knowledge gaps, enabling adaptive and scalable support, and fostering GAI literacy through hands-on engagement, while underscoring the continued importance of human educators in providing critical, ethical, and contextual guidance.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Generative AI; Artificial Intelligence; AI Literacy; Generative AI Literacy; Education; Technology-Mediated Learning; Assignment Design; Course Design
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration VII - Information Systems Management and Digital Society
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration VII - Information Systems Management and Digital Society > Chair Business Administration VII - Information Systems Management and Digital Society - Univ.-Prof. Dr. Torsten Eymann
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT
Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 14 Apr 2025 08:21
Last Modified: 14 Apr 2025 08:21
URI: https://eref.uni-bayreuth.de/id/eprint/93287