Investigation Of High School Students' Level Of Data Analysis ——Taking High School Statistical Content As An Example

With the development of "Internet+" technology,China has entered the era of big data.A large amount of data is full of our social life.Collect and analyze data,discover problems,change social lifestyle through new technologies and innovative living concepts,has become the main melody of the era.The development of the times puts forward new requirements for our cultivation of middle school students' data analysis.This requires us to understand the development of high school student data analytical,what problems exist in the process of student statistics,and which measures should be taken to solve these problems.It is of great significance to study these issues to update educational concepts,improve students'data analysis,and cultivate students' innovative and critical thinking.Under the framework of the data analysis in the 2017 version of the " Ordinary High School Mathematics Curriculum Standard",this thesis uses the Questionnaire Survey to investigate the data analytical level of high school student from a high school in Xuzhou City,Jiangsu Province.The questionnaire is based on high school statistics.Analyze the collected data using Excel,SPSS 22.0 and other software.In conjunction with the second part of the questionnaire,analyze whether "Interests","Willingness to Engage Related Occupations","Cognition of Statistical Contents","Participating in Statistical Survey Activities"and other factors affect the development of students' data analysis.In addition,this paper also adopts classroom observation.Choose two cases of high school statistical content teaching to understand the situation of teaching in senior one and analyze the problems.The results of the survey found that:Most students can't understand the basic concept of statistics well.They can't extract information from raw data and statistics completely and only stay in the level of acquiring data information directly.They cannot draw the conclusions describing the concentration trend and discrete degree of data.Students can only make simple applications with statistical models,but they cannot think and discuss more in its parameter estimation and the possibility of establishing other models.According to the above conclusion,the paper gives the following recommendations:Help students explore the essence of statistical knowledge and complete the migration process of knowledge from familiar problems to comprehensive and complex situations.Let students experience the complete data analysis process,accumulating experience in actual activities.Thereby they can improve the ability of using knowledge and critical thinking and solve problems creatively.Introduce the use of computer statistics software to the students.Help them develop a habit of collecting data,organizing and analyzing data with modern tools to improve the efficiency of problem solving.