BECE. Newsletter Vol.16, No.1, 2024, BECE 1824 Promoting Student Interdisciplinary Learning: Mechanisms, the Learning Environment Design Model, and Empirical Research By Wan, K. & Rao, A. Correspondence to: Kun Wan, Shangrao Normal University, China. E-mail: 1570576198@qq.com NTERDISCIPLINARY learning has become a highly recommended learn- ing approach in Chinese compulsory education. Nevertheless, there exist a variety of problems with the current implementation of interdisciplinary learning, such as misconception of the approach and a lack of purposeful de- sign. This study analyzed the mechanisms for promoting student interdisci- plinary learning, constructed a model for interdisciplinary learning environ- ment design, and conducted practical research based on the model. Mechanisms for Promoting Student Interdisciplinary Learning (i) In interdisciplinary learning, students must go through structured activi- ties to develop higher-order thinking skills and realize deep learning. (ii) The primary purpose of interdisciplinary learning is to conflate knowledge from distinct disciplines and then for students to generate new knowledge after the processes of assimilation, internalization, and reconstruction. (iii) Image thinking and imaginative thinking entailed in interdisciplinary learning are beneficial for students integrating and establish associations between knowledge of multiple disciplines. Research Findings Based on the Model for Interdisciplinary Learning Environment Design  The model could effectively reduce students’ extraneous and intrinsic cognitive loads, increase their germane cognitive load, enhance their flow experience, and boost their higher-order thinking skills.  In interdisciplinary learning, flow experience had positive effects on stu- dents’ higher-order thinking skills development; the extraneous cognitive load negatively affected student flow experience; the germane cognitive load had a positively impact on student flow experience.  In interdisciplinary learning, mutual impacts existed between student cognitive loads, flow experience, and higher-order thinking skills. Source: China Educational Technology, 2023; 2023(8):59-63. I mailto:1570576198@qq.com