A Study On Data Analysis Literacy Of Senior High School Students

With the advent of the big data,people's lifestyle has undergone tremendous changes.People's Shopping,entertainment,jobs and so on all have a lot to do with data.People need to judge the data and select the useful data to help to adapt to the current life.It is the basic competence of citizens to develop the ability of collating and analyzing data facing the impact of a large amount of information and data from various Internet media.Data analysis literacy,as an important part of mathematical literacy,plays an important role in the development of core mathematical literacy,it comes from the“data processing ability” in the curriculum standard of high school mathematics in 2003 to the “data analysis literacy” proposed in the new curriculum standard of mathematics in 2017.As an important part of mathematics literacy,data analysis literacy plays an important role in cultivating the core literacy of mathematics.and has the unique educational value of cultivating students to develop quality education.General high school mathematics curriculum standards require high school students to be able to collect,collate,analyze and infer data,cultivate their consciousness and ability of quantitative analysis so as to develop their thinking quality of judging data,and further explore the nature,relevance and law of things reflected behind the data.How about the data analysis literacy of current high school students?How to cultivate high school students' data analysis literacy in class?With these problems,this study takes the second year of high school students in guilin city,guangxi province as the research object.This study mainly adopts the methods of literature research,investigation and statistical analysis.Based on the revised curriculum standards of general high school mathematics in 2017,this study,by referring to relevant research results,sorted out the connotation and components of data analysis literacy,divided the components of data analysis literacy into data collection,data collation and data inference dimensions,and prepared the data analysis literacy survey test volume accordingly.In this study,154 senior high school sophomore students from guangxi guilin general middle school wereselected as samples for field investigation and were evaluated.Excel and SPSS 20.0 software were used to process the collected data.At the same time,open and in-depth interviews were conducted with teachers and students in view of the problems reflected in the test paper.According to the results of comprehensive evaluation and interview,this paper analyses the current situation of data analysis literacy of senior high school students,and puts forward some teaching strategies on how to cultivate students' data analysis literacy.The results show that:(1)the overall level of data analysis literacy of senior high school students is at the level of multiple structures(M).Data collection,data collation and inference are at the level of multiple structures(M).Only 22.51% of senior high school students can reach the level of correlation structure(R)of the overall level of data analysis literacy.Students can master the statistical knowledge of mean,median,mode and random sampling,but they can only reach the level of understanding about variance,stratified sampling and systematic sampling;students are very weak in the sense of quantitative analysis of data,reaching the level of correlation structure(R)only accounts for 6.49%;students can basically choose appropriate statistical charts to describe data,but draw statistical charts.The ability to use data analysis and inference to solve problems needs to be improved.(2)There are no significant differences in the level of data collection and collation in the data analysis literacy of senior high school students in gender,arts and sciences,and their peacetime performance(P > 0.05).(3)There is no significant difference in inference data level in data analysis literacy of senior high school students in terms of gender(P > 0.05),but there are significant differences in arts and sciences and peacetime performance(P < 0.05),The liberal arts students is superior to students majored in science,the performance is better,the level of inferred data is higher.(4)There is no significant difference in the overall level of data analysis literacy about the sexes of senior high school students(P > 0.05),but there are significant differences in arts and sciences and peacetime performance.(P < 0.05),The liberal arts students is superior to students majored in science,the performance is better,the level of the data analysis literacy is higher.Based on the analysis of the current situation,this study puts forward some suggestions:(1)strengthen the content of statistical knowledge,cultivate the awareness of quantitative analysis of senior high school students;(2)create statistical practice activities,cultivate senior high school students' ability to analyze and use data;(3)pay attention to the deep integration of information technology and teaching,and promote the development of senior high school students' data analysis literacy.