Exploration and practice of ai-enabled online-offline blended teaching model in the curriculum reform of higher vocational mathematics
AI赋能线上线下混合式教学模式在高职数学课程改革中的探索与实践

摘要

当前高职院校高等数学教学面临生源结构多元、学生数理基础分化悬殊、教学评价模式单一粗放等现实难题。立足高职学情，本文以教材、精品课程和AI智慧课堂“三位一体”线上线下混合教学改革为研究载体，依托校本自编《高等数学》配套教材及在线精品课程平台，构建适配高职学情的混合式教学设计框架，厘清人工智能赋能高数教学的实施路径。针对普高统招、高职单招、五年一贯制三类生源的差异化特征，依托AI技术实施分层教学与个性化学习路径规划，搭建涵盖认知水平、学习行为、课堂情感、应用能力的四维学生评价体系，借助在线巡课系统，依托课堂抬头率、到课率、预习率、教师无效话语占比等指标开展智能化课堂评教，最终构建适配高职生源特质的数据驱动型精准教学体系。教学实践结果表明，该混合教学模式能兼顾不同基础学生的学习需求，有效提升学生高数学习成效与数理应用能力。

Abstract

Advanced Mathematics is a fundamental core course for science and engineering majors in higher vocational colleges, and its teaching quality exerts a direct impact on students’ subsequent studies and the development of their vocational competencies. Compared with undergraduate institutions, higher vocational mathematics teaching faces greater challenges. Student sources are highly diversified, consisting of regular college entrance examination candidates, independent enrollment students, and students from five-year consistent vocational programs, whose mathematical foundations vary drastically. The conventional “one-size-fits-all” teaching model fails to accommodate such disparities. Meanwhile, higher vocational education centers on cultivating technical and skilled talents, which means mathematics courses must prioritize practical application and hands-on practice. The Ministry of Education issued the Opinions on Deepening the Reform of Key Teaching Elements in Vocational Education in 2026, which explicitly calls for leveraging big data and artificial intelligence to improve teaching evaluation systems, offering critical guidance for the curriculum reform of higher vocational mathematics. The author of this paper has long been engaged in higher vocational mathematics teaching, served as the chief editor of the two-volume textbook Advanced Mathematics, and recorded a full set of high-quality courses relying on the college’s teaching platform. Building on these foundations, the research team has gradually introduced AI technologies to construct an integrated online-offline blended teaching model combining textbooks, high-quality online courses and AI-powered smart classrooms. This model aims to address the difficulties of stratified teaching amid diverse student cohorts and systematically explore application approaches of AI in two dimensions: student learning assessment and teaching evaluation.