【摘要】 为契合软件行业发展与学生个性化学习需求，顺应软件测试技术及教育数字化发展趋势，在深入总结软件测试课程相关教材及教学方法的基础上，提出一种KG-LLM驱动的软件测试智能教学方法，旨在通过动态化教材、个性化教学、虚实融合实践及数据驱动评价，构建多维度、实践导向并可持续优化的软件测试人才培养模式，为培养符合数字时代需求的软件测试复合型人才提供系统性解决方案。实践证明，教学改革显著提升教学质量，学生平均成绩提高20%，课程满意度提升30%，优秀率提升15%，带领学生参与C919和AG600适航测试高质量实践项目，近5年指导学生159人，竞赛获奖128项，国家级42项。更多还原

【Abstract】 To align with the development of the software industry and meet students’ personalized learning needs,while adapting to the trends in software testing technology and digital education,this paper proposes a KG-LLM-driven intelligent teaching method for software testing.Based on an in-depth review of software testing course materials and teaching methodologies,this approach aims to establish a multidimensional,practice-oriented,and sustainably optimized talent cultivation model for software testing.Through dynamic teaching materials,personalized instruction,blended virtual-physical practice,and data-driven evaluation,it provides a systematic solution for cultivating versatile software testing professionals who meet the demands of the digital era.This approach builds a multidimensional,practice-oriented,and continuously optimized talent cultivation model for software testing,offering a systematic solution for developing versatile software testing professionals suited to the digital era.Practice demonstrates that this pedagogical reform significantly enhances teaching quality:average student grades increased by 20%,course satisfaction rose by 30%,and the rate of excellence improved by 15%.Students were engaged in high-quality practical projects for the airworthiness testing of the C919 and AG600 aircraft.Over the past five years,159 students were mentored,achieving 128 competition awards,including 42 at the national level.更多还原