Construction And Analysis Of Topology Knowledge Network Based On Cognitive Structure

With the development of national education,school education is the best form of education at the present stage in China and class teaching has been the focus of the field of education research.Based on the current classroom teaching,teachers often start from the teaching material to explain knowledge points in linear order,ignore the students' learning needs.what's more there is a certain gap between the way or degree of understanding of knowledge and the original cognitive structure.Therefore,it lacks the consciousness to design the teaching process and active thinking according to the general rules of knowledge points,and stores knowledge points in a fragmented form,which makes it difficult to integrate the complete knowledge structure,and fails to form a clear cognitive structure in the mind,so as not to achieve efficient and meaningful learning.So how to integrate and transform knowledge points in textbooks to form intuitive topological knowledge network and how to optimize the cognitive structure through attribute analysis,improve students' learning ability and learning style,and promote the optimization of education are the key issues of current research.This study on the cognitive structure of the building as the breakthrough point,focus on fragmentation knowledge and the lack of relevance of knowledge structure caused by traditional linear teaching,which makes students cannot establish a match the textbook knowledge structure of cognitive structure and unable to seek appropriate learning path for effective learning in the face of complex knowledge content.T herefore,through the construction of topological knowledge network structure for the content of textbook knowledge points,the analysis of relevant attribute indexes,to provide guidance for education and teaching.By using the related concepts of complex networks,analyzing the relationship of knowledge points in textbooks,constructing related topological knowledge network structures,providing a basis for students' knowledge transfer,and providing certain assistance for teachers' classroom teaching de sign to better realize the transformation of students' linear cognition to network cognition.The main research contents are as follows:(1)Through the application of constructivism theory and cognitive structure transfer theory,we can clear that cognitive structure plays a crucial role in the learning effect of students,and we can construct the relevance model between knowledge structure and cognitive structure,and make sure the importance of constructing network knowledge structure.Based on the complex network theory,the physical knowledge content of the first volume of grade 8 is selected as the research object.According to the teaching materials and course standards,the corresponding knowledge points are determined to complete the selection of nodes in the topological knowledge network.The relation between knowledge points is determined according to the advance organizer strategy,and the relation between the number of knowledge points and knowledge points is stored in the form of adjacency matri x,so as to construct the knowledge network and visualize it in the structure of topology knowledge.(2)This paper analyzes the structure and related attributes of knowledge network,analyzes the related attributes and characteristics of network knowledge structure from network density,node centrality,clustering coefficient and other indicators,and optimizes the three variables of cognitive structure by integrating the cognitive characteristics and personality differences of students.According to the topological sorting algorithm,the path between knowledge points is planned,which provides substantive Suggestions for the improvement of teaching effect from the aspects of cognitive structure optimization and learning path planning.