Analysis And Research Of Teaching Behavior Based On Association Rules

With the continued popularity of the Internet,teachers began to use the Internet for teaching and teaching.As a result,the resulting data also increased.We can then use association rules to analyze teacher-generated teaching data and make corresponding adjustments in teaching.Compared with the traditional analysis model,association rule analysis has the characteristics of faster response,more evaluation methods,and more accurate discovery rules.Traditional teaching analysis can no longer meet existing needs.Therefore,it is necessary to analyze the teaching behavior using association rules.The main research results of this paper are as follows:First,based on the large amount of teaching data generated by the current website,the characteristics of the teacher’s teaching and the various dimensions of the analysis are analyzed.The analysis report and content suitable for the teacher’s teaching are determined.The analysis tasks and objects of the data mining are determined and the association rule algorithm is used.In the calculation,a teaching behavior analysis system suitable for association rules is finally designed.Second,studied the traditional association rule algorithm,and the definition and concept of the algorithm are analyzed.The advantages and disadvantages of the algorithm are also understood.The main flaws of the traditional algorithm are improved.The semester parameters of the school year are introduced in conjunction with the September 1st network.The experimental results are used to verify the feasibility of the improvement and improve the operating efficiency of the algorithm.The improved algorithm is applied to the analysis system.Third,in conjunction with the September 1st network(China Education Knowledge Service Cloud)platform,an association behavior-based teaching behavior analysis system was implemented,which included analysis of association rules and results visualization,enabling managers to define custom analysis content,analyze teaching behavior,and associate rules Convert to a text language for easy reading by users.And the system has been tested overall to meet the needs of users.In summary,the teaching behavior analysis system based on association rules can solve the disadvantages of the traditional analysis model,help to improve the quality of first-line teaching,and serve the construction of education informatization in China.