The Impact of Deep Learning Technology on Higher Education Curriculum in the Digital Transformation Era 2025
DOI:
https://doi.org/10.71364/ajn34a68Keywords:
Deep Learning Technology, Higher Education Curriculum, Digital TransformationAbstract
In the era of digital transformation, deep learning technology has become one of the most important innovations in higher education. This technology provides the ability to analyze big data and produce more personalized and adaptive learning, which has the potential to change the way curriculum is developed and implemented. This study aims to explore the impact of deep learning technology on higher education curriculum in 2025. The method used in this study is a literature study with a qualitative approach, which examines various journal articles, books, and research reports related to the application of deep learning in higher education. The results of the study indicate that the application of deep learning technology can improve learning personalization, enable data-driven curriculum development, and facilitate more effective teaching. However, the challenges faced are infrastructure readiness, teacher training, and curriculum adaptation to changing industry needs. This study provides recommendations for educational institutions to integrate this technology into their curriculum comprehensively.
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Copyright (c) 2025 Netti Zurnelli, Yudhistira Ade Kurniawan, Salihibudayah Surahman, Ilyas Ilyas, Lismina Lismina

This work is licensed under a Creative Commons Attribution 4.0 International License.