Design And Implementation Of Online Education Big Data Analysis Platform

As modem educational technologies have been advanced with the times,educational modes have been also changed quickly.Under such a background,the traditional teaching mode cannot catch up with learners’ demands in individuation and diversification.Instead,more and more teaching modes have been evolved constantly through integrating with computer technology and network technology.Thus,scientific researches on data related to online education are of unique values thanks to the advent of the big data period.Data analysis techniques,in particular,can precisely process large-scale online education data and drive the transformation and development of education teaching practices through collecting,accessing,processing,analyzing,mining,forecasting,and presenting mass data.Based on this,how to establish an analysis platform for big data of online education has become the key to big data researches.How to design and implement an analysis platform for education big data is a main focus of this paper.First of all,this paper briefed the background and significance of researching education big data research,analyzed the research status at home and abroad,defined the problems to be solved in this research,and summarized main research works in this project.Secondly,demand analysis and feasibility analysis were conducted on the analysis system o education big data to make an overall scheme design and detailed designs on the target system.On this basis,the architecture design of the system was done by the architecture pattern of RUP4+1,so as to implement the integration of main functional modules and systems.At last,the availability and effectiveness of the system were analyzed by means of performing functional tests and pressure tests on the system.In terms of core function modules,this system is composed of data acquisition,data analysis,personalized recommendation,and data visualization according to the actual need of analyzing online education big data.The use of the system will develop new methods for effectively analyzing various types of large-scale data of educational management,learning data,and log data,which also provide knowledge support and decision-making basis for learner-centered education teaching reform in full implementation.