AI赋能视域下商工融合的《数据结构》课程教学改革与实践

Teaching Reform and Practice of “Data Structures” Course with Business-Engineering Integration from the Perspective of AI Empowerment

摘要: 教育数字化转型背景下，《数据结构》课程面临知识碎片化、教学同质化、应用脱节化三重困境。本文以天津商业大学教学改革为案例，提出“AI赋能、商工融合”的课程改革模式。具体路径包括：构建“知识–能力–资源”三维图谱实现内容结构化重构；嵌入AI助教与个性化学习系统形成全流程精准教学机制；设计商工融合案例培养学生解决商业复杂问题的高阶思维。教学实践表明：改革后实验组学生平均成绩较对照组提升10% (p < 0.001)，高阶思维能力自评满意度达85%，课堂互动频次提升1.5倍。该模式为计算机核心课程的数智化转型提供了可操作的实践范式。

Abstract: Against the backdrop of digital transformation in education, the “Data Structures” course is confronted with three major dilemmas: fragmented knowledge, homogenized teaching and disconnection from practical application. Taking the teaching reform practice at Tianjin University of Commerce as an example, this paper proposes a reform model featuring “AI empowerment and business-engineering integration”. Specific measures are as follows: establishing a three-dimensional graph of “knowledge-competence-resource” to restructure course content in a systematic way; deploying AI teaching assistants and personalized learning systems to build a full-process targeted teaching mechanism; and developing integrated business and engineering cases to foster students’ higher-order thinking for solving complex commercial problems. Teaching results show that after the reform, the average score of students in the experimental group increased by 10% compared with the control group (p < 0.001). The self-rated satisfaction with the cultivation of higher-order thinking skills reached 85%, and the frequency of classroom interaction rose 1.5 times. This model offers a feasible practical paradigm for the digital and intelligent transformation of core computer courses.