摘要
[目的/意义]旨在为学习者、教学者、平台管理者决策提供支持。[方法/过程]从学习者、教学者、平台管理者需求出发,设计了慕课课程评论可视化分析系统的框架,并通过Python语言对各模块进行实现。[结果/结论]设计与实现的慕课课程评论可视化分析系统通过对课程评论相关信息的自动化统计,能够直观展示出慕课课程常规数据的可视化以及基于课程评论的主题发现可视化。
[Purpose/significance]The paper is to provide support for the decision making of learners, educators and platform managers. [Method/process] Based on the needs of learners, educators and platform managers, the paper designs the framework of visualized analysis system of MOOC course reviews and implements each module in Python language. [Result/conclusion]Visualized analysis system of MOOC course review designed and implemented in this paper can visually demonstrate the visualization of the regular data of MOOC course and the topic discovery visualization based on the course reviews through the automatic statistics of information related to the course reviews.
作者
张文德
黄禹
Zhang Wende;Huang Yu(Institute of Information Management Fuzhou University,Fuzhou Fujian 350116;Fuzhou University Library,Fuzhou Fujian 350116)
出处
《情报探索》
2020年第5期59-64,共6页
Information Research
基金
赛尔网络下一代互联网创新项目“融合评论标签的个性化学习资源推荐关键技术研究”(项目编号:NGII20170522)
赛尔网络下一代互联网创新项目“面向慕课课程评论的情感标签信息抽取关键技术研究”(项目编号:NGII20180509)成果之一。
关键词
MOOC
课程评论
可视化
MOOC
course review
visualized analysis
