基于大数据的SPOC学习评价系统的开发分析

Analysis of the Development of SPOC Learning Evaluation System Based on Big Data

基于大数据的小规模限制性在线课程(Small Private Online Course,SPOC)学习评价系统是基于大数据的思维,使用Python+Django框架进行的开发,主要实现线上、线下学习数据的采集,通过数据抽取、数据清洗、数据转换、特征提取、数据加载等一系列的数据预处理手段对数据进行处理,使用Django的“模型-模板-视图”(Model Templates View,MTV)模型进行数据库存取与交互,对学生学习数据进行分析与建模,从而形成包括学习态度、学习方法、学习能力等多维度的学习评价。文章是对学习评价系统的开发分析,包括开发环境和开发技术的分析,从而阐明学习评价系统的开发思路及系统设计成果。

The SPOC learning evaluation system based on big data is a development based on big data thinking and the Python+Django framework.It mainly realizes the collection of online and offline learning data,processes data through a series of data preprocessing methods such as data extraction,data cleaning,data conversion,feature extraction and data loading,and uses Django's MTV model for database access and interaction,Analyze and model students'learning data to form multi-dimensional learning evaluation including learning attitude,learning methods,learning ability,etc.This paper is an analysis of the development of the learning evaluation system,including the analysis of the development environment and development technology,so as to clarify the development ideas and system design results of the learning evaluation system.