AI赋能与能力导向融合的《无机化学实验》教学改革研究

Research on the Teaching Reform of “Inorganic Chemistry Experiment” Integrating AI Empowerment and Competency Orientation

摘要: 面对新工科建设与创新型人才培养的战略需求，传统《无机化学实验》教学在教学内容、方法、资源及评价体系等方面存在明显不足，难以系统支撑学生综合能力的全面发展。为此，文章基于当前教学实践中存在的问题，提出并实施了以“AI赋能 + 能力导向”为核心的教学改革模式。该模式深度融合人工智能技术，对实验教学内容与流程进行系统性重构，并构建起智能化的教学评价体系。实践结果表明，改革显著提升了学生的实验操作规范性、数据分析能力与创新思维水平，同时有效提高了学生的学习满意度和参与度。本研究为理工科实验教学的数字化转型与创新能力培养提供了可借鉴的实施路径与参考方案。

Abstract: In response to the strategic imperatives of emerging engineering education and the need to cultivate innovative talent, traditional teaching of Inorganic Chemistry Experiments exhibits notable deficiencies in content, methodology, resources, and assessment systems. These limitations hinder its ability to systematically foster the holistic development of students’ competencies. To address the issues identified in current teaching practice, this paper proposes and implements a teaching reform model centered on “AI Empowerment + Competency Orientation”. By deeply integrating artificial intelligence technologies, the model systematically redesigns experimental teaching content and processes, and establishes an intelligent teaching evaluation system. Practical implementation demonstrates that the reform significantly improves students’ standardization in experimental operations, data analysis skills, and innovative thinking, while effectively enhancing learning satisfaction and engagement. This study offers a referential implementation pathway and a benchmark strategy for the digital transformation of science and engineering experimental teaching and the cultivation of innovation capabilities.