Reshaping the resilient educational ecosystem in the intelligent era: a case study of the CLIL course of international trade practice

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 ( p < 0.01, d = 0.988). Specifically, although no statistically significant differences were found in multiple choice question ( p < 0.996) and calculation ( p < 0.988), the experimental group performed significantly better than the control group in terminology translation ( p < 0.01, d = 0.944), case analysis ( p < 0.05, d = 1.002), and documentation question ( p < 0.01, d = 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.