摘要
受新冠疫情影响,线上网络课程在教学中的应用越发广泛,如何在高校顺利开展网络课程成为当前热点问题。针对江苏省某高校学生网络课程学习情况,利用Python对学习数据进行分析。找出影响网络课程成绩的因素,为高校更好开展网络课程教学打下基础。分析结论不仅有助于学校进行网络课程专业方向调整、教学资源合理配置和教学质量改进,同时也为其他高校学生树立端正的学习态度和选择合适的网络课程提供了有益参考。
Affected by the new COVID-19 epidemic,the application of online online courses in teaching has become more and more exten⁃sive,and how to successfully carry out online courses in colleges and universities has become a current hot issue.Use Python to analyze the learning data based on the students′online course learning situation in a university in Jiangsu Province.Find out the factors that affect the per⁃formance of online courses,and lay the foundation for better development of online course teaching in universities.Referencing the analysis and conclusions will not only help schools adjust the professional direction of online courses,rationally allocate teaching resources and im⁃prove teaching quality,but also provide a useful reference for other college students to establish correct learning attitudes and appropriate on⁃line courses.
作者
李钰
庄文密
LI Yu;ZHUANG Wen-mi(School of Management and Economics,Kunming University of Science and Technology,Kunming 650093,China;School of Control Science and Engineering,Shandong University,Ji,nan 250061,China)
出处
《软件导刊》
2022年第4期177-180,共4页
Software Guide
