数智赋能背景下应用型高校《概率论与数理统计》课程教学改革研究与实践——以计算机专业为例

Research and Practice on Teaching Reform of the Course “Probability Theory and Mathematical Statistics” in Applied Universities under the Background of Digital Intelligence Empowerment—Taking Computer Science Major as an Example

摘要: 在数智化转型背景下，应用型高校计算机专业的《概率论与数理统计》课程面临着概念抽象难理解、专业案例融合不足、学生内驱力缺乏等突出问题。本文以数智赋能为引领，引入建构主义学习理论与情境学习理论作为支撑，提出以专业为导向重构教学内容、以育人为导向建设数字资源、以应用为导向探索项目化与问题导向式教学、以提升素养为导向构建“教师 + 学生自评 + 同伴互评 + 智能系统”四维评价体系的系统性改革方案。改革实践初步表明，上述举措有效提升了学生将概率统计知识迁移至真实工程问题的能力，初步实现了理论教学与专业实践的有机融合。

Abstract: In the context of digital intelligence transformation, the course “Probability Theory and Mathematical Statistics” in computer majors of applied universities faces prominent problems such as abstract concepts that are difficult to understand, insufficient integration of professional cases, and lack of student motivation. This article proposes a systematic reform plan guided by digital intelligence empowerment and introducing constructivist learning theory and situational learning theory as support, which includes reconstructing teaching content with a professional orientation, constructing digital resources with an educational orientation, exploring project-based and problem-oriented teaching with an application orientation, and constructing a four-dimensional evaluation system of “teacher + student self-evaluation + peer evaluation + intelligent system” with an emphasis on improving literacy. The initial results of the reform practice indicate that these measures have effectively enhanced students’ ability to transfer probability and statistics knowledge to real engineering problems, and initially achieved the organic integration of theoretical teaching and professional practice.