产业转型背景下江西省高职教育专业结构优化与适应性分析
Optimization and Adaptability Analysis of Professional Structure of Higher Vocational Education in Jiangxi Province under the Background of Industrial Transformation
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- Keywords: Higher vocational education; Industrial structure adaptability; Specialty setting; Regional economic development; Education reform高等职业教育; 产业结构适应性; 专业设置; 区域经济发展; 教育改革
- Abstract: The study centers on the in-depth analysis and evaluation of the adaptability of the industrial structure and the professional structure of higher vocational education in Jiangxi Province. By adopting empirical methods such as fuzzy comprehensive analysis, Delphi method and hierarchical analysis, the degree of fit between the professional setting of higher vocational education and regional economic demand was scientifically assessed. The results show that the cultivation of talents in the fields of agriculture, manufacturing and service industry of higher vocational education in Jiangxi Province has an important supporting role for the development of regional economy, however, the match between the current professional structure of higher vocational education and the demand of local industries is still at a medium level, especially the adaptability in the tertiary industry is more prominent. It reveals that there is a certain mismatch between the professional setting of higher vocational education and the local industrial structure, especially there is still room for improvement in meeting the talent demand of emerging industries. It is suggested that in the process of planning and adjusting the professional settings of higher vocational education, more attention should be paid to the docking with the development trend of the regional economy, so as to enhance the service capacity of higher vocational education to the local economy, and to promote the transformation and upgrading of industry and the sustained development of the regional economy.研究围绕江西省产业结构与高职教育专业结构的适应性进行了深入分析与评价。通过采用模糊综合分析法、德尔菲法和层次分析法等实证方法，对高职教育专业设置与区域经济需求的契合度进行了科学评估。结果显示，江西省高职教育在农业、制造业和服务业等领域的人才培养对区域经济发展具有重要支撑作用，然而当前高职教育专业结构与地方产业需求的匹配度仍处于中等水平，特别是在第三产业中的适应性较为突出。揭示了高职专业设置与地方产业结构之间存在一定的错位，特别是在新兴产业人才需求的满足方面仍有提升空间。建议在高职教育专业设置规划和调整过程中，更加注重与区域经济发展趋势的对接，以提升高职教育对地方经济的服务能力，推动产业转型升级和区域经济的持续发展。
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科研立项
全球视野下AI赋能的混合学习：挑战、机遇与最佳实践
AI-Enabled Blended Learning in Global Perspective: Challenges, Opportunities and Best Practices
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- Keywords: AI technology; Blended learning; Personalized learning; Distance learning; ChallengesAI技术; 混合学习; 个性化学习; 远程学习; 挑战
- Abstract: With the rapid development of Artificial Intelligence (AI) technology, blended learning shows great potential in global education. Focusing on New Zealand, Malaysia, Saudi Arabia, and India, this study analyzes the impact of technological infrastructure, teacher digital literacy, student support, and socio-cultural factors on the effectiveness of blended learning. Educational policies and practices in the four countries are compared through case studies. The findings show that while some progress has been made in blended learning in urban areas, the technological divide remains significant in rural areas, especially in India and Saudi Arabia. In addition, insufficient teacher technological literacy and cultural resistance have affected the spread of the model. To this end, it is recommended to strengthen technological infrastructure, upgrade teacher skills, and promote sociocultural acceptance of blended learning for more equitable educational development.随着人工智能（AI）技术的快速发展，混合学习在全球教育中展现出巨大潜力。本研究聚焦新西兰、马来西亚、沙特阿拉伯和印度，分析了技术基础设施、教师数字素养、学生支持以及社会文化等因素对混合学习效果的影响。通过案例研究对四国的教育政策与实践进行了比较。研究结果显示，虽然城市地区在混合学习方面取得了一定进展，但农村地区的技术鸿沟依然显著，特别是在印度和沙特阿拉伯。此外，教师技术素养不足和文化阻力也影响了该模式的推广。为此，建议加强技术基础设施建设、提升教师技能，并推动社会文化对混合学习的接受，以促进更加公平的教育发展。
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重点基金项目
