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On Opportunities and Challenges of Large Multimodal Foundation Models in Education

Title: On Opportunities and Challenges of Large Multimodal Foundation Models in Education
Language: English
Authors: Stefan Küchemann (ORCID 0000-0003-2729-1592); Karina E. Avila; Yavuz Dinc; Chiara Hortmann; Natalia Revenga; Verena Ruf; Niklas Stausberg (ORCID 0009-0000-1530-4750); Steffen Steinert (ORCID 0000-0001-6364-934X); Frank Fischer; Martin Fischer (ORCID 0000-0002-5299-5025); Enkelejda Kasneci; Gjergji Kasneci; Thomas Kuhr (ORCID 0000-0001-6251-8049); Gitta Kutyniok; Sarah Malone (ORCID 0000-0001-8610-2611); Michael Sailer (ORCID 0000-0001-6831-5429); Albrecht Schmidt; Matthias Stadler (ORCID 0000-0001-8241-8723); Jochen Weller; Jochen Kuhn (ORCID 0000-0002-6985-3218)
Source: npj Science of Learning. 2025 10.
Availability: Nature Portfolio. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://www.nature.com/npjscilearn/
Peer Reviewed: Y
Page Count: 11
Publication Date: 2025
Document Type: Journal Articles; Reports - Descriptive
Descriptors: Artificial Intelligence; Technology Uses in Education; Models; Intermode Differences; Multimedia Materials; Barriers; Opportunities; Learning Modalities; Multimedia Instruction
DOI: 10.1038/s41539-025-00301-w
ISSN: 2056-7936
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.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1461161
Database: ERIC