AI赋能概率论与数理统计课程教学与实践探索——以北京信息科技大学为例

AI-Enabled Teaching and Practical Exploration of Probability and Statistics Course—Taking Beijing Information Science & Technology University as an Example

摘要: 随着人工智能技术的迅猛发展，教育数字化已成为高等教育改革的必然趋势。本文以北京信息科技大学为例，探讨AI赋能概率论与数理统计课程下的教学改革和实践探索。在教学改革层面，依托超星学习通平台搭建知识图谱、个性化学习路径及任务引擎等智慧教学体系；在实践层面，借助豆包、文心一言、DeepSeek等AI平台解决概率论与数理统计中的实际问题，打造AI实践案例库，通过实验和结果解析等方式深化理论应用。将AI技术融入课程建设，使抽象知识点具象化，助力学生提升专业水平与复杂工程问题解决能力，形成“专业课赋能基础课、基础课反哺专业能力”的良性生态。

Abstract: With the rapid development of artificial intelligence (AI) technology, educational digitalization has become an inevitable trend in the reform of higher education. Taking Beijing Information Science & Technology University as an example, this paper discusses the teaching reform and practical exploration under the AI-enabled Probability and Statistics course. At the level of teaching reform, an intelligent teaching system, including knowledge graphs, personalized learning paths, and task engines, has been built based on the Chaoxing Learning Platform. At the practical level, AI platforms such as Doubao, Wenxin Yiyan, and DeepSeek are employed to solve practical problems in Probability and Mathematical, an AI practical case library is established, and the application of theories is deepened through experiments and result analysis. The integration of AI technology into curriculum construction visualizes abstract knowledge points, helps students improve their professional level and ability to solve complex engineering problems, and forms a positive ecological cycle where “specialized courses empower basic courses, and basic courses feedback professional capabilities”.