论大型多模式基础教育模式的机遇与挑战。

IF 3 1区 心理学 Q1 EDUCATION & EDUCATIONAL RESEARCH
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
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引用次数: 0

摘要

最近,使用大型语言模型作为连接各种人工智能工具和其他大型语言模型的中间件的选择导致了所谓的大型多模态基础模型的发展,这些模型具有处理语音文本、音乐、图像和视频的能力。在这篇综述中,我们解释了在教育中整合大型多模式基础模型所带来的一系列新的机遇和挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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来源期刊
CiteScore
5.40
自引率
7.10%
发文量
29
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