【摘要】 第14届国际数学教育大会于2021年7月12—18日在中国上海华东师范大学顺利举办．数学建模作为备受关注的教育主题之一，在会上得到了广泛讨论与深入交流．首先介绍了会议中涉及数学建模主题的所有活动，之后从研究特点与难点上系统综述了相关报告的主要成果．研究发现，国际数学建模教学研究正在从共性探索走向民族建模，从高等教育走向基础教育，从描述研究走向干预研究；同时，数学建模教学的研究与实践在师资培训、课堂教学、能力测评方面均存在有待进一步突破的难点．最后，结合研究发现，提出未来应该从深挖相关理论基础、积累教学实践经验、关注各项影响因素、推进长期跟踪研究、拓宽建模研究疆域5个方面着手，做深、做实、做全、做透、做大数学建模教与学的相关研究，促进中国经验更好地走向世界．更多还原

【Abstract】 The 14th International Conference on Mathematical Education was successfully held at East China Normal University in Shanghai China, from July 12 to 18, 2021. The topics discussed at the conference will become the main research direction in the field of mathematics education in the next few years. Mathematical modelling, as one of the most popular educational topics, has also been widely discussed and deeply exchanged at the conference. This paper first introduces all the activities related to the subject of mathematical modeling in the conference, and then systematically summarizes the main results of relevant reports from the research characteristics and difficulties. It is found that international research on mathematical modeling teaching and learning is moving from common exploration to Ethnomodelling, from higher education to basic education, and from descriptive research to intervention research; at the same time, the research and practice of mathematical modeling teaching have difficulties that need to be further broken through in teacher training, classroom teaching and ability assessment. Finally, combined with the research findings, it is proposed that in the future, we should start from five aspects: 1) digging deeper into the relevant theoretical foundation, 2) accumulating teaching practice experience, 3) paying attention to various influencing factors, 4) promoting long-term follow-up research, and 5) broadening the scope of modelling research, making the research related to mathematical modelling teaching and learning deeper, more solid, more comprehensive, more thorough, and more diversified, so as to promote the China’s experience to go to the world better.更多还原