班级规模效应与大语言模型驱动的个性化保险教学模式研究——以浙大宁波理工学院为例

The Effect of Class Size and LLMs-Driven Customized Teaching in Insurance Education—Case Study of NingboTech University

摘要: 文章以浙大宁波理工学院金融学专业保险课程为例，采用探索性个案研究方法，初步考察班级规模对学生成绩的潜在影响。研究初步发现，保险专业教育中可能存在一定程度的班级规模效应，且该效应在进阶课程中有所显现，并初步呈现出“累积效应”的特征。在此背景下，文章进一步提出将大语言模型(LLMs)融入保险专业教学的设想，以期探索个性化学习支持的可行路径。需要指出的是，该方案目前仍属于概念层面的构想与路径探讨，尚未经过系统性的实践验证，其实际效果、应用边界及潜在风险有待审慎评估。研究旨在为相关议题的后续探索提供初步参考，而非提供确定性的政策建议或普适性结论。

Abstract: This paper presents an exploratory case study examining the potential impact of class size on student performance in insurance courses at NingboTech University. The preliminary findings suggest a possible class size effect in insurance education, which appears more pronounced in advanced courses and tentatively displays a “cumulative effect” pattern. Building on these preliminary observations, this paper further discusses conceptual pathways through which large language models (LLMs) could potentially support personalized learning in insurance education. The LLM-based approach presented here remains at the conceptual and design stage; its practical effectiveness, implementation boundaries, and associated risks have yet to be systematically evaluated through empirical testing. This study is intended to offer preliminary evidence and a conceptual framework to inform future inquiry, rather than to provide definitive conclusions or policy prescriptions.