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Tao Fu; Yonghan Ji – SAGE Open, 2024
Using the Triple Helix model, this study explores the government-university relationship in the context of China's AI talent development, and their outcomes in terms of AI program deployment, enrollment and faculty. Their interaction may best be summarized as a model of government pull and university response, but with more support and autonomy…
Descriptors: Government Role, Universities, Artificial Intelligence, Talent Development
Liang Bian; Qianqian Yang – SAGE Open, 2025
Policies designed to cultivate talent within universities are central to China's strategy for reforming and improving the quality of its higher education. This study develops a goal-instrument analysis framework for a content analysis of 113 such policies. Within the context of China's Double First-Class construction, the analysis examines the…
Descriptors: Foreign Countries, Talent Development, Educational Policy, Policy Analysis
Su Chai; Yuchen Cai; Chenxi Wei – SAGE Open, 2024
Local socioeconomic advancement has given rise to great growth in language service industry of Gansu China, creating the brisk demand for full-fledged translation and interpretation (T&I) talents. However, such progress is slowed by a lack of senior T&I talents and poor T&I training. The existing literature provides little information…
Descriptors: Translation, Professional Education, Masters Programs, Graduates
Zhang, Hongfeng; Su, Shaodan; Liu, Yan – SAGE Open, 2023
In the context of constructing regional education and talent hub, Macao's higher education talent development strategy impacts the creation of a regional talent hub and the process of industrial diversification. This study adopts a text analysis approach. Through the analysis of 118 texts and the construction of the game model, it reveals that…
Descriptors: Higher Education, Talent Development, Barriers, Geographic Regions