ORCID: https://orcid.org/0000-0003-2729-1592; Avila, Karina E.; Dinc, Yavuz; Hortmann, Chiara; Revenga, Natalia; Ruf, Verena; Stausberg, Niklas ORCID: https://orcid.org/0009-0000-1530-4750; Steinert, Steffen ORCID: https://orcid.org/0000-0001-6364-934X; Fischer, Frank; Fischer, Martin ORCID: https://orcid.org/0000-0002-5299-5025; Kasneci, Enkelejda; Kasneci, Gjergji; Kuhr, Thomas ORCID: https://orcid.org/0000-0001-6251-8049; Kutyniok, Gitta ORCID: https://orcid.org/0000-0001-9738-2487; Malone, Sarah ORCID: https://orcid.org/0000-0001-8610-2611; Sailer, Michael ORCID: https://orcid.org/0000-0001-6831-5429; Schmidt, Albrecht; Stadler, Matthias ORCID: https://orcid.org/0000-0001-8241-8723; Weller, Jochen und Kuhn, Jochen ORCID: https://orcid.org/0000-0002-6985-3218
(2025):
On opportunities and challenges of large multimodal foundation models in education.
In: npj Science of Learning, Vol. 10, 11
[PDF, 719kB]
Abstract
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.
| Item Type: | Journal article |
|---|---|
| Faculties: | Mathematics, Computer Science and Statistics > Mathematics > Bavarian Chair for Mathematical Foundations of Artificial Intelligence |
| Subjects: | 500 Science > 510 Mathematics |
| URN: | urn:nbn:de:bvb:19-epub-126356-2 |
| ISSN: | 2056-7936 |
| Language: | English |
| Item ID: | 126356 |
| Date Deposited: | 27. May 2025 07:11 |
| Last Modified: | 20. Mar 2026 12:12 |
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