【摘要】 信息技术的不断发展对高等院校人才技能培养提出了新的挑战，如何激发学生高效地学习专业技能，探究优良的学习行为模式具有重要的研究意义。本研究基于高等院校的软件工程专业，从认知因素、非认知因素及个体学习观念差异三个角度，研究了学情分析和影响学情分析的因素指标。为了对学生的群体学习特征进行分析，文章对软件工程相关专业的1706条学生的行为数据进行聚类，得出结论：学生对所学专业满意度、参加课外活动的情况及课程作业完成情况对聚类具有决定性作用；学生成绩对聚类并无显著影响；学生成绩的直接影响因素是学习效率而非学习时间。更多还原

【Abstract】 The continuous development of information technology has posed new challenges to the training of talent skills in colleges and universities. How to stimulate students to learn professional skills efficiently and explore good learning behavior patterns has important research significance. This study starts from the software engineering specialty in colleges and universities, analyzes the cognitive factors, non-cognitive factors and individual learning concept differences, and studies the factors and indicators that affect the analysis of learning situation. In order to analyze the characteristics of students’ group learning, this paper clusters the behavior data of 1706 students in software engineering-related majors, and draws the conclusion that students’ satisfaction with their majors, participation in extracurricular activities and completion of course assignments play a decisive role in clustering; The students’ grades have no significant effect on clustering; The direct influence factor of students’ performance is learning efficiency rather than learning time.更多还原