【摘要】 针对中国石油大学(华东)学校网络教学平台的软硬件缺陷，重新设计平台硬件架构部署。在扩充服务器性能和存储容量的基础上，对各个服务器内部执行任务进行精细化划分，提升整个系统的稳定性，提高用户并发量；在软件层面通过对比同类型平台功能结构，重新设计软件功能模块，完善平台功能。在此基础上，对教学平台学生学习行为数据展开研究。采用学生最终考试成绩与各项线上学习指标做相关性分析的方法，挑选出相关性程度最高的指标作为学生画像参数；采用R语言统计方法对学生整个学期的日常学习时间进行分析，为学校教师提供线上教学支持。更多还原

【Abstract】 Aiming at the software and hardware defects of the network teaching platform of China University of Petroleum(East China), this paper redesigns the hardware architecture and deployment of the platform. On the basis of expanding the server performance and storage capacity, the internal execution tasks of each server are finely divided, which improves the stability of the whole system and greatly improves the amount of user concurrency. The software functional module is redesigned and the platform function is improved by comparing the functional structure of the same type of platform. On this basis, this paper studies the students’ learning behavior data of the teaching platform. The method of correlation analysis between students’ final test scores and various online learning index selects the highest correlation index as the parameter of student portrait, and R language statistical method is used to analyze the daily learning time of students in the whole semester to provide online teaching support for school teachers.更多还原