Construction And Analysis Of Educationnal Technology Course Knowledge Network Based On Complex Network

With the reform and development of course education,the course is the basic basis for education and teaching activities,and it has played an important role in the teaching process.Teachers should not only understand the basic knowledge of the course,but also master the overall structural characteristics of the course,grasp the important and difficult point of the course,and optimize teaching mode of the course.The course knowledge network is a scientific method to effectively analyze and study the knowledge points and knowledge relations in the course.This paper mainly applies complex networks to the analysis of course knowledge structure,and realizes the construction,analysis and optimization of the Educational Technology course knowledge network.Through verification,it is reasonable and feasible to analyze the Educational Technology course by applying complex network science methods.And it provides a new method to optimize education and teaching based on modern information technology.(1)The course knowledge network model and its network are constructed.By analyzing the knowledge structure of the Educational Technology course materials and the corresponding syllabus,the concept map is used to construct the course knowledge structured model,and the course knowledge network model is also constructed based on the complex network.Then the knowledge node and the corresponding knowledge relationship is determined,the Educational Technology course knowledge network and course knowledge unit network is constructed.(2)The Educational Technology course knowledge network structure and its attributes are analyzed.The Educational Technology course knowledge network is analyzed from three levels: Firstly,the overall attributes and characteristics of the course knowledge network are analyzed by using some indicators,such as network density,clustering coefficient,average path length,etc.Secondly,the node center degree(degree centrality,betweenness centrality,closeness centrality)is used to analyze the individual attributes and characteristics of the course knowledge network.Thirdly,from the aspects of integrity and individuality,the attributes and characteristics of each unit sub-network are further analyzed.(3)The Educational Technology course knowledge structure is optimized,and the teaching suggestions are proposed.Combined with the actual teaching characteristics,by using the method of topological sorting based on directed graphs,the Educational Technology course knowledge structure is optimized.And according to the evaluation system of the corresponding comparison analysis,then from the overall structural attributes and individual attributes of the network,and attributes of the unit sub-network,the pre-optimized and optimized course knowledge network are compared and analyzed,which shows the superiority of the optimized course knowledge structure.Finally,based on the analysis results of the pre-optimized and optimized course knowledge network,the corresponding teaching suggestions are proposed,and this is to realize the aim of optimizing teaching.