Integrating AI-generated content tools in higher education: a comparative analysis of interdisciplinary learning outcomes

Integrating AI-generated content tools in higher education: a comparative analysis of interdisciplinary learning outcomes

Abstract This study examines the integration of artificial intelligence-generated content (AIGC) tools across disciplines in higher education settings. Using a mixed-methods approach, we analyzed implementation patterns and learning outcomes across humanities, STEM, and social sciences programs at m...

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Bibliographic Details
Main Authors: Zhang Yan, Tang Qianjun
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
AIGC tools
Higher education
Interdisciplinary learning
Digital pedagogy
Educational policy
AI–Human collaboration
Online Access:https://doi.org/10.1038/s41598-025-10941-y
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https://doi.org/10.1038/s41598-025-10941-y

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