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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 Sailer; Albrecht Schmidt; Matthias Stadler; Jochen Weller; Jochen Kuhn – npj Science of Learning, 2025
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…
Descriptors: Artificial Intelligence, Technology Uses in Education, Models, Intermode Differences
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Marga Stander; Hazel Sivell – Sign Language Studies, 2025
This article aims to identify common errors made by hearing students learning South African Sign Language (SASL) and enhance the understanding of language acquisition in this context. The researchers formulated three hypotheses, attributing errors to vocabulary gaps, misunderstandings due to improper signing, and the dual impact of spoken and…
Descriptors: Sign Language, Foreign Countries, Error Patterns, Hearing (Physiology)
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Bithi Mojumder; Md. Jasim Uddin; Kamol Dey – Discover Education, 2025
While many studies have explored the pros and cons of emergency online learning during the COVID-19 pandemic and its psychological impact on university students, little attention has been given to students' perspectives on adapting to evolving learning environments in the post-pandemic era. This research investigates the intricate dynamics of…
Descriptors: Foreign Countries, Educational Change, Pandemics, COVID-19