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All Journal Nama jurnal : International Journal of Education and Humanities Journal of General Education and Humanities
Song, Jia-Qing
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Humanities Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Digital Twins Empower Higher Education Lei, JING; Song, Jia-Qing; Wang, Ji-Yan
Journal of General Education and Humanities Vol. 3 No. 3 (2024): August
Publisher : MASI Mandiri Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58421/gehu.v3i3.224

Abstract

This paper explores the application of digital twin technology in higher education and its enabling effect. Through literature review and case studies, this paper studies the generation, basic concepts, technical frameworks, and application scenarios, e.g., in higher education, of digital twins. The results show that digital twin technology can significantly improve the teaching quality and learning effect and optimize educational resource allocation and management efficiency. This paper also discusses the challenges of digital twin technology and the prospects for future development in higher education. It provides new ideas and practical paths for the digital transformation of higher education.
Harnessing Large Model Technology for Higher Education Reform: Opportunities, Challenges, and Strategic Solutions Jing Lei; Song, Jia-Qing; Shan Jiang; Jing Li; Yan Liang
International Journal of Education and Humanities Vol. 5 No. 2 (2025): International Journal of Education and Humanities (IJEH)
Publisher : Ilmu Inovasi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58557/(ijeh).v5i2.316

Abstract

The rapid development of information technology has brought significant transformations, including adopting large model technology as an innovative tool for data analysis and processing. This technology is increasingly permeating the field of higher education, offering substantial opportunities for educational innovation and reform. This study explores large model technology's current application, advantages, and impacts on higher education reform. The methodology involves analyzing case studies of its application in teaching, scientific research, and educational management. The findings indicate that large model technology provides considerable benefits, such as improving teaching effectiveness, fostering research innovation, and optimizing educational resource allocation. However, its implementation also faces significant challenges, including high technical barriers, data security and privacy protection risks, and threats to educational equity. In response to these challenges, the study proposes several recommendations, including strengthening technological infrastructure, enhancing the digital skills of educators and students, and developing more robust data management systems. These findings aim to serve as a valuable reference for the innovation and development of higher education in the modern technological era. Consequently, the strategic integration of large model technology is essential to addressing these challenges and supporting the sustainable advancement of educational goals
Co-Authors Jing Lei Jing Li Lei, JING Shan Jiang Wang, Ji-Yan Yan Liang