On opportunities and challenges of large multimodal foundation models in education

  • Recently, the option to use large language models as a middleware connecting various AI tools and other large language models led to the development of so-called large multimodal foundation models, which have the power to process spoken text, music, images and videos. In this overview, we explain a new set of opportunities and challenges that arise from the integration of large multimodal foundation models in education.

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Metadaten
Author:Stefan Küchemann, Karina E. Avila, Yavuz Dinc, Chiara Hortmann, Natalia Revenga, Verena Ruf, Niklas Stausberg, Steffen Steinert, Frank Fischer, Martin Fischer, Enkelejda Kasneci, Gjergji Kasneci, Thomas Kuhr, Gitta Kutyniok, Sarah Malone, Michael SailerORCiDGND, Albrecht Schmidt, Matthias Stadler, Jochen Weller, Jochen Kuhn
URN:urn:nbn:de:bvb:384-opus4-1195631
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/119563
ISSN:2056-7936OPAC
Parent Title (English):npj Science of Learning
Publisher:Springer
Place of publication:Berlin
Type:Article
Language:English
Year of first Publication:2025
Publishing Institution:Universität Augsburg
Release Date:2025/02/27
Volume:10
Issue:1
First Page:11
DOI:https://doi.org/10.1038/s41539-025-00301-w
Institutes:Philosophisch-Sozialwissenschaftliche Fakultät
Philosophisch-Sozialwissenschaftliche Fakultät / Empirische Bildungsforschung
Philosophisch-Sozialwissenschaftliche Fakultät / Empirische Bildungsforschung / Lehrstuhl für Learning Analytics and Educational Data Mining
Dewey Decimal Classification:3 Sozialwissenschaften / 37 Bildung und Erziehung / 370 Bildung und Erziehung
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)