Un núcleo con múltiples competencias, catalizando la fusión de inteligencia: hacia una escuela de IA de clase mundial con distinción de BIT
DOI:
https://doi.org/10.5281/zenodo.16914702Palabras clave:
inteligencia artificial, transformación digital de la educación, desarrollo de talentos locales, reforma de la pedagogía educativa, investigación artificial, sistema de soporte de servicios inteligentesResumen
Artificial intelligence (AI) stands as the central focus of global technological competition, with the cultivation of AI talent constituting its pivotal underpinning. Against the dual backdrop of intensifying global AI rivalry and a severe domestic shortage of AI professionals, this study examines the establishment of the AI School at Beijing Institute of Technology (BIT) as its research subject and explores innovative pathways for the intelligent transformation of China’s higher education in the AI era. BIT has holistically integrated its internal and external AI resources and platforms to establish its AI School at a high starting point and under stringent benchmarks. With a target of becoming a world-class, BIT-distinctive AI School by 2030, the School is dedicated to fostering a new ecosystem for cultivating homegrown exceptional interdisciplinary AI talent, revolutionizing educational paradigms with AI technology as the core driver, concentrating efforts to build national-security-focused AI strengths, and constructing a smart operational support system underpinning the green and high-quality development of BIT. Functioning as an integrated “one core with multifaceted competences” AI innovation complex, encompassing talent development, educational reform, scientific research, and management services, the AI School catalyzes BIT’s “intelligence fusion” in the AI era. This study thereby provides an exemplary model for the intelligent transformation of higher education.
Descargas
Citas
Tan T. The history, current status, and future of artificial intelligence. Qiushi. 2019; (04): 39–46.
China Academy of Information and Communications Technology. White Paper on the Development of Global Artificial Intelligence Industry. China Academy of Information and Communications Technology; 2024.
Gao W. Seizing the historic opportunity of artificial intelligence development. People’s Daily; 2025-02-24(09).
Mercer. Global Talent Trends. Mercer; 2024. [Accessed 19 June 2025]. Available in: https://www.mercer.com/insights/people-strategy/future-of-work/global-talent-trends/
McKinsey & Company. The Economic Potential of Generative AI: The Next Productivity Frontier. McKinsey & Company, 2023. [Accessed 1 June 2025]. Available in: https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier#/
MacroPolo, Methodology for Global AI Talent Tracker. MacroPolo, 2024. [Accessed 17 June 2025]. Available in: https://archivemacropolo.org/interactive/digital-projects/the-global-ai-talent-tracker/methodology-for-global-ai-talent-tracker-2/
Zhang D, Yu S, Zhou G. A study of transdisciplinarity in the context of the transformation of knowledge production. Journal of Zhejiang University. 2024; 54(2): 107–118. [Accessed 2 June 2025]. Available in: https://doi.org/10.3785/j.issn.1008-942X.CN33-6000/C.2023.06.306
Zhang J, Zhang Q. Open up a new path for disruptive innovation and development in the field of artificial intelligence. Chinese Social Sciences Today; 2025-02-20(A02).
Zheng Q. Artificial intelligence empowering the innovative development of STEM education: Insights and practices. China Higher Education Research. 2025; (01): 1–7. [Accessed 11 June 2025]. Available in: https://doi.org/10.16298/j.cnki.1004-3667.2025.01.01
Zhang J. Green education: Reform and transformation of higher education in China in the new era. China Higher Education Research. 2024; (10): 1–10+35. [Accessed 18 June 2025]. Available in: https://doi.org/10.16298/j.cnki.1004-3667.2024.10.01
Descargas
Publicado
Cómo citar
Número
Sección
Licencia
Derechos de autor 2025 Fang Deng, Ye Yuan, Chen Chen, Bin Xin, Bo Wang

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.
-
Atribución — Usted debe dar crédito de manera adecuada, brindar un enlace a la licencia, e indicar si se han realizado cambios. Puede hacerlo en cualquier forma razonable, pero no de forma tal que sugiera que usted o su uso tienen el apoyo de la licenciante.
-
NoComercial — Usted no puede hacer uso del material con propósitos comerciales.
- No hay restricciones adicionales — No puede aplicar términos legales ni medidas tecnológicas que restrinjan legalmente a otras a hacer cualquier uso permitido por la licencia.