Construction and optimization of educational technology course knowledge network

Abstract

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 the knowledge structure of the course. This paper mainly applies complex network to the analysis of course knowledge structure to construct and optimize the knowledge network of Educational Technology course. Firstly, the textbook and syllabus of Educational Technology course are used as a data source, and the course knowledge network model is constructed. Secondly, the knowledge nodes and their relationships are determined, and the course knowledge network is constructed. Thirdly, by using topological sorting based on directed graph, the course knowledge structure is optimized. And the pre-optimized and optimized course knowledge network are compared and analyzed, it shows the optimized course knowledge structure has superiority. It proves that the optimized course knowledge structure is more hierarchical, sequential and structural, which can highlight the main line of knowledge and clear the learning ideas. Finally, according to the results of comparative analysis of the pre-optimized and optimized course knowledge network, the teaching suggestions are proposed, and it is to realize the aim of optimizing teaching.