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人才培养与产业发展良性互动——瞄准需求,看3所大学这样调整专业
Ren Min Ri Bao· 2025-10-09 14:30
Group 1: Core Insights - The article discusses the interaction between talent cultivation and industrial development, highlighting the adjustments made by universities in response to industry needs [1] - The Central Education Work Leading Group has issued a plan to optimize higher education discipline and major settings from 2025 to 2027, aiming to align educational programs with national strategic demands [1] Group 2: Industry Demand and Educational Response - Hunan University has adjusted its materials science program to include new majors like electronic information materials, driven by the rapid growth of the new materials industry, which exceeded 8 trillion yuan in total output last year [2] - The demand for innovative talent in strategic emerging industries such as new materials and information technology is increasing, necessitating a focus on interdisciplinary education [3][4] Group 3: Aging Population and Talent Needs - The aging population in China is projected to reach 310 million by the end of 2024, accounting for 22% of the total population, creating significant opportunities in the silver economy [6] - Fudan University has established new programs in aging economy and related fields to address the talent gap in the aging services industry, which is characterized by high turnover and low educational levels among workers [7] Group 4: Integration of AI in Traditional Engineering - Beijing University of Aeronautics and Astronautics has introduced a smart transportation major that integrates big data and artificial intelligence into traditional transportation engineering, reflecting the industry's shift towards intelligent solutions [9] - The university's approach includes a curriculum that combines classic transportation engineering courses with cutting-edge topics like deep learning and intelligent perception [10] Group 5: Employment Trends and Skills Demand - The job market is increasingly favoring graduates who possess both knowledge of transportation systems and expertise in data science and AI, indicating a shift towards interdisciplinary skill sets [11] - Practical experience in research and application of theories is becoming a key factor for graduates seeking employment in various sectors, including internet companies and government transportation management [11]