学习行为分析的段落粒度在线教程系统

Paragraph-Granularity Online Tutorial System with Learning Data Analysis Function

传统的以章节为存储展示单元的设计,由于无法衡量文章内部段落的阅读时间和内容争议,不适合教程网站对用户的学习数据的采集。本文针对面向数据分析功能的以段落为存储展示单元的在线教程系统,可将用户的如段落学习重点,段落学习时间等特征在全体用户中的分布,学习能力评分等学习行为记录进行可视化展示。不仅提供了分段数据展示,评论功能的前端和数据库设计实现,还详细讨论了数据库设计中为数据分析预留的数据指标与最终可视化数据之间的数据联系。最终得到了以学习行为数据可视化为核心功能的网上教程网站的设计架构,有利于构建公平全面的作者评价体制,优化读者的阅读学习策略,提高了运营者,作者,读者三方的使用热情和体验。

The chapter-granularity design for the tutorial website is unable to measure the time of and the readers＇ comments on each paragraphs in the article, thus, the design is not suitable enough for users＇ data collecting and analysis. This paper discusses the data-analysis-oriented online tutorial system which choose paragraph as its smallest database granularity can visualize the study behaviors such as the most time-consuming study paragraph, the distribution of readers＇ individual comprehending time from the complete users＇ set, the learning ability score. It not only shows the implementation of front end and the database design for the data demonstration and users＇ comments functions to the paragraphed article, but also discusses the relationship between the initial data stored in the database and the final visualized data. Finally, we get the architecture of the tutorial website whose core function lies in online study behavior visualization. It benefits for the construction of the objective evaluation system for authors, the study strategies for users and the users＇ enthusiasm.