基于模糊综合评价法的高等数学教学改革质量评价研究

An Evaluation Study of Teaching Reform Quality in Advanced Mathematics Based on the Fuzzy Comprehensive Evaluation Method

摘要: 近年来，人工智能技术的持续发展对教师教学与学生学习产生了双向影响：恰当运用可提升教学质量与学习效益，反之则可能削弱教学成效。本研究聚焦于北部湾大学公共基础课程《高等数学》所实施的“三维融合·双线驱动·AI赋能”混合式教学改革策略，运用模糊综合评价法对其改革质量进行系统评估，以识别现存不足并推动持续完善，构建“问题发现–教学改革–再发现问题–再持续改进”的闭环机制。该研究旨在支撑北部湾大学的高质量发展，同时为其他院校的教学改革与质量提升提供实践参考。

Abstract: In recent years, the rapid advancement of artificial intelligence has generated a twofold impact on both teaching and learning: when applied appropriately, it enhances instructional quality and learning efficiency, yet improper use can undermine educational outcomes. This study examines the blended teaching reform strategy characterized by “three-dimensional integration, two-track driving, and AI empowerment”, which has been implemented in the public foundational course Advanced Mathematics at Beibu Gulf University. Employing the fuzzy comprehensive evaluation method, this research systematically assesses the quality of the reform, with the goal of identifying existing shortcomings, facilitating ongoing improvement, and establishing a closed-loop mechanism that cycles through “problem identification, teaching reform, renewed problem detection, and continuous enhancement”. Ultimately, this study aims to support the high-quality development of Beibu Gulf University while offering practical insights for teaching reform and quality enhancement initiatives at other higher education institutions.