移动学习平台学习行为数据统计分析系统的设计与实现

发布时间：2018-06-23 23:27

本文选题：学习行为 + 统计分析　；参考：《华中师范大学》2017年硕士论文

【摘要】：近年来,随着移动学习的快速发展,越来越多的学生开始通过移动学习平台进行学习,在学习过程中产生了大量的学习行为数据。这些数据隐含了学习者的学习风格、学习进度、终端设备状态、地理位置等重要信息,但是传统的学习行为分析系统一般是针对基于Web的网络学习数据而设计的,并不能完全适用于移动学习平台。基于上述背景,本文设计了一个应用于移动学习平台的学习行为数据统计分析系统,对学习行为数据进行采集、存储和分析,并在移动学习平台上进行可视化呈现。系统不仅能帮助学习者监控自己的学习过程,帮助教师调整教学计划与开展个性化指导,还能帮助管理者监控移动学习平台的使用和推广情况等。本文首先研究了移动学习行为的相关理论,以及统计分析系统所需相关技术,为系统的设计与实现提供理论指导与技术支持。在详细分析了学习者、教师和管理者的需求后,确定了移动学习数据的统计指标,将统计数据分为用户在线统计、学习工具统计和终端设备统计三大类。其次,依据用户需求与移动终端的特性,设计了专门的数据采集机制,统计分析机制和可视化交互呈现机制,分别应用于统计分析系统的数据采集模块、统计分析模块和可视化呈现模块。数据采集模块采用改进心跳包机制,向传统心跳包中添加校验码和状态码,保证数据包的传输质量并减轻服务器的工作负荷。统计分析服务器提供统一的接口服务与定时服务,简化了客户端的代码复杂度,并支持了统计分析服务的扩展性。可视化呈现模块采用第三方提供的视图组件,让用户可以在移动学习平台随时随地查看自己的学习过程。最后,进行了系统测试,初步验证了系统的可行性。并对系统的使用情况进行了初步分析,为进一步研究移动学习行为提供依据。
[Abstract]:In recent years, with the rapid development of mobile learning, more and more students begin to learn through mobile learning platform. These data contain important information such as learning style, learning progress, terminal equipment status, geographical location and so on. However, the traditional learning behavior analysis system is generally designed for web-based learning data. Not completely applicable to mobile learning platform. Based on the above background, this paper designs a statistical analysis system of learning behavior data applied to mobile learning platform. It collects, stores and analyzes the learning behavior data, and visualizes the data on the mobile learning platform. The system can not only help learners monitor their learning process, help teachers adjust their teaching plan and carry out individualized instruction, but also help managers monitor the use and promotion of mobile learning platform. This paper first studies the related theories of mobile learning behavior and the related technologies needed by the statistical analysis system to provide theoretical guidance and technical support for the design and implementation of the system. After analyzing the needs of learners, teachers and managers in detail, the statistical index of mobile learning data is determined, which is divided into three categories: online statistics for users, statistics for learning tools and statistics for terminal devices. Secondly, according to the requirements of users and the characteristics of mobile terminals, a special data acquisition mechanism, a statistical analysis mechanism and a visual interactive presentation mechanism are designed, respectively, which are applied to the data acquisition module of the statistical analysis system. Statistical analysis module and visual presentation module. The data acquisition module adopts the improved heartbeat packet mechanism and adds check and status codes to the traditional heartbeat packet to ensure the transmission quality of the packet and reduce the workload of the server. The statistical analysis server provides uniform interface service and timing service, which simplifies the code complexity of the client and supports the expansibility of the statistical analysis service. The visual presentation module adopts the view component provided by the third party, which enables users to view their learning process anytime and anywhere in the mobile learning platform. Finally, the system is tested and the feasibility of the system is preliminarily verified. The use of the system is analyzed preliminarily to provide the basis for further study of mobile learning behavior.
【学位授予单位】：华中师范大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP311.52

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