人工智能驱动职业院校学生数学核心能力培养体系建设

Construction of Students’ Mathematics Core Competency Cultivation System Driven by Artificial Intelligence in Vocational Colleges

摘要: 本研究立足于生成式人工智能为教育教学提供的全新技术环境及理论知识获取即时性这一时代特征，聚焦学生数学核心能力重构这一关键问题，探索重塑职业院校学生数学培养生态体系的实践路径。研究提出，在人工智能时代，学生的数学学习应从追求学科知识体系的完整覆盖，转向掌握数学核心能力并运用人工智能工具解决实际问题。在此基础上，系统构建了包含数学抽象、逻辑推理、数学建模、直观想象、数学运算、数据分析、AI工具性使用七个维度的学生数学核心能力体系，并通过构建“AI + 自主学习”教学新模式、实行积分制考核、开发活页项目工单式新形态教材等举措，实现了培养体系的整体重构。经过系统改革，数学课堂学生到课率、及格率、听懂率、活动参与率、评教优秀率等核心指标均实现20%以上的显著增长，切实提升了学生成长成才的培养质量。

Abstract: This study is grounded in the brand-new technological environment created by generative artificial intelligence for education and the real-time accessibility of theoretical knowledge. Focusing on the key issue of reconstructing students’ mathematics core competency, it explores practical pathways for reshaping the cultivation ecosystem for vocational college students. The study proposes that in the era of artificial intelligence, students’ mathematics learning should shift from pursuing complete coverage of disciplinary knowledge systems to mastering mathematics core competencies and using AI tools to solve practical problems. On this basis, a seven-dimensional student mathematics core competency system has been systematically constructed, encompassing mathematical abstraction, logical reasoning, mathematical modeling, intuitive imagination, mathematical operation, data analysis, and AI tool utilization. Through such measures as constructing a new “AI + autonomous learning” teaching model, implementing a points-based assessment system, and developing new loose-leaf project-workbook-style teaching materials, an overall reconstruction of the cultivation system has been achieved. After systematic reform, core indicators including class attendance rate, pass rate, comprehension rate, activity participation rate, and excellent teaching evaluation rate, have all achieved a remarkable increase of over 20%, effectively enhancing the quality of students’ growth and development.