Frontiers in Educational Research, 2024, 7(4); doi: 10.25236/FER.2024.070416.
Jingxian Zhang1, Ning Miao1,2,3, Wei Huang1, Dandan Gong1, Jiaxin Wu1
1Tianjin University of Finance and Economics Pearl River College, Tianjin, China
2Tianjin Public Security Police Profession College, Tianjin, China
3Tianjin Chenxing Science and Technology Huayi Co., Ltd., Tianjin, China
This document presents a comprehensive overview of artificial intelligence's development opportunities and challenges, focusing on strategies for its micro-construction. It highlights the importance of optimizing training objectives and curriculum systems, enhancing practical teaching, and fostering industry-university research collaborations. Additionally, it emphasizes the construction of teaching staff and the improvement of teaching quality. Furthermore, the document discusses the construction of five enrollment linkage mechanisms, integrating market demand with enrollment plans, promoting enrollment and brand building, and fostering collaboration between enrollment selection and talent cultivation. In conclusion, it offers recommendations for policy support, financial investment, and the continuous improvement and optimization of enrollment linkage mechanisms.
Artificial Intelligence, Construction of Micro Majors in Artificial Intelligence, Enrollment Linkage Mechanism, Development Opportunities and Challenges, Finance
Jingxian Zhang, Ning Miao, Wei Huang, Dandan Gong, Jiaxin Wu. Research on the Construction of Micro-major of AI in Colleges and Universities and Enrollment Linkage Mechanism under the Background of Macro-finance. Frontiers in Educational Research (2024) Vol. 7, Issue 4: 95-100. https://doi.org/10.25236/FER.2024.070416.
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