AI-Enabled Self-Regulated Learning : A Multi-Layer Taxonomy Development

Title data

Grüneke, Timo ; Guggenberger, Tobias ; Hofmeister, Sofie ; Stoetzer, Jens-Christian:
AI-Enabled Self-Regulated Learning : A Multi-Layer Taxonomy Development.
In: Proceedings of the 32nd European Conference on Information Systems (ECIS). - Paphos, Cyprus , 2024
ISBN 978-1-958200-10-0

Official URL:

Abstract in another language

In light of the widespread adoption of Artificial Intelligence (AI), educators are increasingly exploring
innovative applications of this technology within their domain of expertise. Notably, research indicates
the capability of AI to facilitate proactive control over the learning process by students, fostering what
is commonly referred to as self-regulated learning (SRL). In this vein, our research undertook the
development of a taxonomy, thereby contributing to theory and practice by furnishing a comprehensive
overview elucidating pertinent dimensions and characteristics intrinsic to AI-based learning systems
and their impact on SRL. By incorporating a Technological Mediation Learning perspective and the
socio-technical system framework, our taxonomy contributes to a nuanced understanding of AI-based
learning systems within the realm of SRL. Consequently, our research establishes a foundational
framework for delving into the potentialities of AI-based learning systems, thereby enhancing
educational practices and assisting learners in navigating their cognitive processes.

Further data

Item Type:	Article in a book
Refereed:	Yes
Keywords:	Artificial Intelligence; Education; Self-regulated Learning; Taxonomy
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 XVII - Information Systems and Value-Based Business Process Management Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management - Univ.-Prof. Dr. Maximilian Röglinger 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:	19 Dec 2024 10:00
Last Modified:	19 Dec 2024 10:00
URI:	https://eref.uni-bayreuth.de/id/eprint/91458