The Investigation On The Status Of Data Analysis Literacy Of Senior Three Students

With the introduction of the core literacy of the six major mathematics in the "Standards for Senior High School Mathematics Curriculum(2017 Edition)",data analysis literacy has become one of the qualities that students must possess in the information society,and it is required to develop students' literacy.The goals have also become more specific.So what is the current status of mathematics analysis of senior high school students? This is also the concern of the majority of researchers and teachers.Understanding the current data literacy level of students can not only reflect students' mastery of statistical knowledge,but also promote the implementation of core literacy of mathematics,and provide reference for frontline teachers to cultivate students' data analysis literacy.This study first introduces the relevant research background,research problems and research significance of this research,and then combs the existing research at home and abroad and on this basis defines the concept of mathematical core literacy and data analysis literacy.Secondly,based on the analysis of mathematical core literacy and data analysis literacy theory,this study divides the structural and horizontal dimensions of data analysis literacy and divides them into: collecting data,arranging data,analyzing data,and interpreting data.Four dimensions,as well as knowledge understanding,knowledge migration,and knowledge innovation,and then combined with their structural dimensions and horizontal dimensions,constructed a high-level student data analysis literacy evaluation framework.Under this premise,combined with the existing cognitive level and knowledge reserve of the third year students,the "High School Students Data Analysis Literacy Test Volume" was compiled and revised,and the current situation of the current high school students' data analysis literacy was investigated through testing.the study.After the test is completed,the software is analyzed by SPSS(22.0)and other software,and the corresponding research conclusions are obtained.Based on this,relevant suggestions are put forward.The conclusions of this study are as follows:(1)The current high school students' data analysis literacy level is generally at the level of knowledge transfer,and there is a significant difference in the literacy level of students' data in the liberal arts and sciences classes,but there is no significant difference among students of different genders.In addition,the academic performance is also significantly positively correlated with the data analysis literacy level of the third year students.This indicates that the students with good academic performance have theoretically higher level of data analysis literacy.(2)In terms of student data analysis literacy,the student literacy level surveyed is also at the level of knowledge transfer.There are significant differences in the literacy level of students in liberal arts classes in different dimensions.Students of different genders collect data,organize data,and explain There is no significant difference in the three-dimensional literacy level of the data,but there are significant differences in the data dimensions of different gender students.Based on the above research conclusions,this study puts forward the following teaching suggestions for cultivating students' data literacy: one is to pay attention to statistical content teaching;the other is to pay attention to the differences of student groups and to teach students in accordance with their aptitude;Experience the whole process of data analysis.