大数据背景下的Java知识地图构建研究

摘要

针对学生在学习《面向对象程序设计 (Java) 》课程中对所学内容组织结构掌握差、知识难度理解不足、学习无计划、学习目的不强等问题, 结合大数据和知识地图的特点, 提出了大数据背景下的Java知识地图构建研究.在大数据背景下, 从使用网络爬虫对知识点采集并进行热度分析, 从大量数据中使用Numpy库进行知识点关联挖掘以及知识地图的可视化三个环节出发, 构建了以结果为导向的面向师生的Java知识地图.该地图不仅包含知识点之间的关系, 还包含了知识点难度以及学生对知识点掌握情况, 既能作为学习知识导航, 又能作为过程评价的手段.通过实际应用对教师教学中难点内容设计、学生的知识结构掌握、重难点突破等方面都有很大的帮助, 试图为其他编程类课程知识地图的建设提供参考和借鉴.%Aiming at the problems of students' poor grasp of organizational structure, insufficient understanding of knowledge difficulty, unplanned learning and weak learning purpose in the course of Object-oriented Programming (Java). The research on the construction of Java knowledge map is proposed in this paper under the background of big data. Under the background of big data, a result-oriented Java knowledge map for teachers and students is constructed from three links of knowledge points acquisition and thermal analysis by using web crawler, knowledge point association mining by using Numpy database and knowledge map visualization The map contains not only the relationship between knowledge points, but also the difficulty of knowledge points and students' mastery of knowledge points. It can be used not only as a navigation of learning knowledge, but also as a means of process evaluation.Through practical application, it is very useful for the design of difficult content and for the mastery of students' knowledge structure, and the breakthrough of key and difficult points in teachers' teaching. It tries to provide reference for the construction of knowledge map of other programming courses.