大学生使用人工智能赋能数学学习现状的调查与研究——以上海海事大学数学专业学生为例

Survey and Research on the Current Status of College Students Using Artificial Intelligence to Enhance Mathematics Learning—Taking Students Majoring in Mathematics at Shanghai Maritime University as an Example

摘要: 随着人工智能技术的快速发展，其在教育领域的应用越来越广泛。为了解大学生使用AI工具赋能数学学习的情况，本报告基于上海海事大学数学专业的调查问卷数据进行了深入分析。本文首先对调查问卷数据进行清洗、整理，然后对数据进行描述性统计分析,再利用色关联分析与Pearson相关系数分析数学成绩与使用过人工智能工具、使用人工智能的频率等变量之间存在相关性，然后再利用Bootstrap方法对结果进行检验，接着同时分析学生对AI工具的功能偏好以及使用场景。结果发现，上海海事大学大多数学生使用AI工具赋能数学学习已形成习惯，数学成绩与“是否使用AI工具”，“AI使用频率”关联性更强，正向影响优于“每周学习数学学习时长”。学生使用AI工具更偏向于使用综合性AI，核心使用场景为课后作业的题目解析和复习备考的知识点梳理，且学生对于AI工具的知识理解和作业效率提升功能认可度较高。综上，AI已深度融入大学生的数学学习过程，其使用对学习效果具有积极作用，工具选择与场景具有明确的需求导向，可为后续智能体的开发与改进提供参考。

Abstract: With the rapid advancement of artificial intelligence technology, its applications in education have become increasingly widespread. To understand how college students utilize AI tools to enhance their mathematics learning, this report conducts an in-depth analysis based on questionnaire data from mathematics majors at Shanghai Maritime University. This study first cleans and organizes the survey data, then performs descriptive statistical analysis. Color correlation analysis and Pearson correlation coefficients are used to examine relationships between variables such as math grades, prior AI tool usage, and frequency of AI use. Bootstrap methods are subsequently applied to validate the results. The analysis further explores students’ functional preferences for AI tools and their usage scenarios. Results indicate that most students at Shanghai Maritime University have developed habitual use of AI tools to enhance mathematics learning. Academic performance shows stronger correlations with “AI tool usage” and “frequency of AI use”, with these factors exerting a more positive influence than “weekly mathematics study duration”. Students predominantly favored comprehensive AI tools, primarily using them for homework problem solutions and organizing knowledge points for exam preparation. They expressed high recognition of AI tools’ capabilities in enhancing knowledge comprehension and homework efficiency. In summary, AI has deeply integrated into university students’ mathematics learning processes, positively impacting learning outcomes. Tool selection and usage scenarios exhibit clear demand-driven orientations, providing valuable insights for future agent development and refinement.