重塑智能时代的弹性教育生态系统:国际贸易实践CLIL课程案例研究
Reshaping the resilient educational ecosystem in the intelligent era: a case study of the CLIL course of international trade practice.
Reshaping the resilient educational ecosystem in the intelligent era: a case study of the CLIL course of international trade practice.
本研究探讨了智能时代国际贸易实务CLIL课程教育生态系统的转型,旨在构建适应人工智能发展的跨学科韧性教育生态系统。我们提出了国际贸易实务韧性教育生态系统范式,其特征包括人工智能赋能的生态学习环境、师生智能协同动态互动、自适应大规模教学与个性化教学的融合,以及全息智慧评价方法。采用准实验对照组设计,评估杭州城市大学国际贸易实务课程中韧性教育生态系统的教学效果。定量结果表明,教学改革对提升学生学业成绩产生了显著影响(< 0.01,= 0.988)。具体而言,尽管在多项选择题(< 0.996)和计算题(< 0.988)方面未发现统计学显著差异,但实验组在术语翻译(< 0.01,= 0.944)、案例分析(< 0.05,= 1.002)和单证题(< 0.01,= 0.876)方面的表现显著优于对照组。研究结果进一步证实了韧性教育生态系统在提升分析真实案例等高阶认知能力方面的特定功能,从而为智能时代的后续优化提供了实证依据。韧性教育生态系统能够提升学生的综合素质,促进教育公平,缩小大学与地区之间的教育差距,并推动终身学习。它适应未来社会的发展需求,对全球教育改革与发展具有重要的启示意义。
This study explores the transformation of the educational ecosystem of the CLIL course of International Trade Practice in the intelligent era, with the goal of constructing an interdisciplinary resilient educational ecosystem that adapts to the development of artificial intelligence. We have proposed a resilient educational ecosystem paradigm for International Trade Practice that features an AI-empowered ecological learning environment, the collaborative dynamic interaction among teacher-student-intelligence, the integration of adaptive large-scale teaching and individualized teaching, and a holographic smart evaluation method. A quasi-experimental control group design is employed to assess the teaching effectiveness of the resilient educational ecosystem in the International Trade Practice course at Hangzhou City University. Quantitative results indicate that the teaching reform has exerted significant impacts on enhancing students' academic performance ( < 0.01, = 0.988). Specifically, although no statistically significant differences were found in multiple choice question ( < 0.996) and calculation ( < 0.988), the experimental group performed significantly better than the control group in terminology translation ( < 0.01, = 0.944), case analysis ( < 0.05, = 1.002), and documentation question ( < 0.01, = 0.876). The findings reinforce the specific functions of a resilient educational ecosystem in enhancing higher-order cognitive abilities like analyzing real cases, thus providing empirical substantiation for subsequent optimization in the intelligent era. A resilient educational ecosystem improves students' comprehensive qualities, promotes educational equity, narrows educational gaps between universities and regions, and promotes lifelong learning. It adapts to the development needs of future society and has important enlightenment for global education reform and development.
Xiaoqin Yin, Fang Chen. Reshaping the resilient educational ecosystem in the intelligent era: a case study of the CLIL course of international trade practice.. Frontiers in psychology. 2026; doi:10.3389/fpsyg.2026.1807137.
Xiaoqin Yin, Fang Chen (2026). Reshaping the resilient educational ecosystem in the intelligent era: a case study of the CLIL course of international trade practice.. Frontiers in psychology. https://doi.org/10.3389/fpsyg.2026.1807137
Xiaoqin Yin, Fang Chen. Reshaping the resilient educational ecosystem in the intelligent era: a case study of the CLIL course of international trade practice.[J]. Frontiers in psychology, 2026 doi:10.3389/fpsyg.2026.1807137.
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