“混源多模”教学模式在研究生软件测试课程的实践

Practice of"Mixed-source and Multi-mode"Teaching Mode in Postgraduate Software Testing Course

为适应高校教育数字化建设的快速发展,基于西北工业大学和扬州大学近5年研究生软件测试课程教学探索与实践,提出“混源多模”教学模式。借助人工智能进行教学资源选择与优化,综合考虑在线教学资源、开源项目数据和学生思想动态,结合“案例+研讨式”教学方法,使授课资源和教学模式实现随“变”应变,灵活授课。同时,借助数字平台进行教学评价反馈,形成课程教学模式迭代优化机制。实践结果表明,“混源多模”教学模式通过融合教学资源和学生思想动态,教学效果提升显著,在2017—2021学年的教学中,课程目标达成度由0.73提升至0.87,优秀率(综合成绩≥90分)达到31%;形成以10万条开源缺陷报告为核心的教学案例知识库,并实现教学案例库自动构建方法和系统;获得省级优秀教材和精品MOOC,指导学生在软件测试大赛中多次获奖,并发表高质量科研论文。

To adapt to the rapid development of digital education in colleges and universities,a"mixed source and multi-mode"teaching model is proposed based on the teaching exploration and practice of the postgraduate course"software testing"of Northwestern Polytechnical University and Yangzhou University in the past five years.We select and optimize teaching resources with the help of artificial intelligence.The online teaching resources,open source project data,and students'ideological dynamics are comprehensively considered and the classical"case+discussion"teaching method are applied to adapt to"changes"and provide flexible teaching.At the same time,with the help of digital platforms,teaching evaluation feedback is established to form an iterative optimization mechanism for course teaching models.Practice has shown that the"mixed source and multi-mode"teaching model has significantly improved the teaching effect by integrating teaching resources and students'ideological dynamics.In the teaching years 2017-2021,some of our achievements include:the achievement degree of course goal rose from 0.73 to 0.87,and the excellent rate(comprehensive score>=90 points)reached 31%;a teaching case knowledge base with 100000 open source bug reports and related project data was formed;we designed and implemented an automatic teaching case construction sys⁃tem;we gained rewards of excellent teaching book,online course,and student competitions of software testing,and published some papers on high-quality journals and conferences.