Analysis Of Kinematics Knowledge Points In Senior High School Based On Complex Network

In physics teaching and physics curriculum design,the importance of knowledge points is generally determined according to its position in the knowledge system and its application degree in social production.In teaching,it will also be affected by teachers’ personal preferences,which has a certain orientation of empirical philosophy.If the analysis of knowledge points can be processed into data,it can greatly enhance the objectivity of teaching research,improve the replicability and scalability of teaching research,and provide strong support for front-line teachers and educational researchers.In data science,complex networks are a powerful tool and modeling tool for describing and analyzing complex systems.Most discrete structures in the real world can be appropriately represented as networks in special cases,and the importance evaluation of knowledge points can be described by referring to the parameters of complex networks.Therefore,this paper introduces a complex network model,writes a software for analyzing physical knowledge points based on Matlab,and uses this software to analyze and test the mind map of high school physical kinematics knowledge points.Specifically,this paper mainly completes the following work:1.Introduce the basic concepts of complex networks and the three basic parameters chosen in this paper: degree value,betweenness value and importance degree;2.Realize the quantitative processing of knowledge point network through a software developed based on complex network theory,and introduce its usage;3.Data collection was carried out in the first grade of a certain school.The collected objects were collected from two classes and collected twice at different time points.4.Using this software to analyze the knowledge points of high school kinematics.The study found that: on the whole,students at different levels have a similar change trend in the understanding of the importance of a certain knowledge point,classification methods,etc.with the learning process,but different classes have different performances in terms of stability;the study also found that in the data There are outliers,but outliers do not necessarily represent logical errors,but may also be unconventional and worthy of reference.5.Combining the analysis results,put forward suggestions in lesson preparation and classroom teaching.