Jing Lei
Unknown Affiliation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

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
Research on the Training Mode of Innovative Talents in Information and Computing Science from the Perspective of Scientific and Technological Innovation Jing Lei; Jia-Qing Song; Ji-Yan Wang
International Journal of Education and Humanities Vol. 4 No. 1 (2024): 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).v4i1.200

Abstract

This study aims to identify and analyze effective training modes for fostering innovative talents in information and computing science, with a focus on the perspective of scientific and technological innovation. The research method employed includes a comprehensive literature review, interviews with industry experts and academics, and empirical data analysis from existing training programs. The findings indicate that an integrated approach combining project-based learning, interdisciplinary collaboration, and practical experiences can enhance students' innovative capabilities. Recommendations from this research include the need for increased investment in educational facilities and resources, the formation of strategic partnerships between universities and industries, and the development of curricula responsive to the evolving needs of the job market. This research provides a significant contribution to the development of relevant and effective training strategies in response to societal demands for innovative talents in the field of information and computing science