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AI赋能背景下公共基础课程教学改革路径探索——以“概率论与数理统计”为例

Exploration of Teaching Reform Pathways for Public Basic Courses Empowered by AI — Taking “Probability and Mathematical Statistics” as an Example

董小梅, 常帅

Education Study / 2026,8(6): 587-590 / 2026-06-11 18 18

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• Information:

  内蒙古工业大学理学院数学系，呼和浩特

• Keywords:
  AI empowerment; Probability and Mathematical Statistics; Teaching reform; Pathway exploration
  AI赋能; 概率论与数理统计; 教学改革; 路径探索
• Abstract: With the rapid development of artificial intelligence technology and the digital transformation of education, public basic courses, as the cornerstone of higher education, face challenges such as outdated teaching models, a disconnect between course content and students' majors, and a lack of personalized instruction. “Probability and Mathematical Statistics” is a public basic course that embodies both theoretical and practical dimensions, characterized by strong abstraction and extensive application scenarios, which forms a deep coupling with the data analysis capabilities of AI technology. This paper focuses on the “Probability and Mathematical Statistics” course, leveraging AI technology to analyze the prominent problems existing in current course teaching, and explores specific pathways for teaching reform empowered by AI. These pathways include the reconstruction of teaching objectives, optimization of course content, innovation of teaching methods, improvement of evaluation system, and development of the teaching faculty. The aim is to address the pain points in teaching, better meet students' learning needs, and simultaneously enhance educators' teaching capabilities. 在人工智能迅猛发展与教育数字化转型的双重推动下，作为高等教育基石的公共基础课程，面临着教学模式滞后、内容与专业脱节、个性化教学不足等挑战。“概率论与数理统计”是一门兼具理论性与实践性的公共基础课，具有抽象性强、应用场景广泛的特点，与AI技术的数据分析深度耦合。本文主要对“概率论与数理统计”课程进行研究，利用AI技术分析当前课程教学存在的突出问题，并探索AI赋能下课程教学改革的具体路径，包括教学目标重构、课程内容优化、教学模式创新、评价体系完善及师资队伍建设，旨在解决教学痛点问题，更好地满足学生的学习需求，同时提升教师的教育教学能力。
• DOI: 10.35534/es.0806104 (registering DOI)
• Cite: 董小梅，常帅．AI赋能背景下公共基础课程教学改革路径探索——以“概率论与数理统计”为例［J］．教育研讨，2026，8（6）：587-590．