Investigation And Research On The Status Quo Of Data Analysis Ability Of High School Student

Information society,there are all kinds of data around people,data analysis has been deep into all aspects of social life,data analysis ability is not only under the curriculum standard students need to get through learning ability,but also when the age of the basic requirements,contemporary social citizens should have the basic ability,high school stage is the key period of cultivating students 'data analysis ability,understand the stage of students' data analysis ability,help teachers combined with the actual situation of teaching,better promote the development of students' data analysis ability.Based on the ordinary high school mathematics curriculum standard(2017edition 2020 revision)in the division of students data analysis literacy three levels and data analysis process,main performance,combing the existing data analysis at home and abroad,combined with the actual situation of sophomore students,build sophomore students data analysis ability evaluation framework.Based on the evaluation framework of students' data analysis ability,the test paper of high school students was compiled,and a high student of a middle school in Tianjin was investigated,170 test papers were issued,and 146 valid test papers were recovered,so that SPSS statistical analysis software processed the data.Through interviews with front-line teachers and students,we further understand the data analysis ability of senior school students.By studying the status of data analysis ability,the following conclusions are obtained:(1)The overall level of data analysis ability of students is good,half of the students' data analysis ability is below level 2,and there is great room for progress.The development of the three dimensions of data analysis ability is unbalanced.(2)There were significant differences in student data analysis abilities for the different score intervals.(3)There was no significant difference in the data analysis power between boys and girls.Based on the research conclusion,make the following teaching suggestions are follows:(1)Relying on the curriculum standards,a reasonable grasp of the classroom teaching;(2)Combined with the real life,create the problem situation;(3)Pay attention to information technology into data analysis related knowledge teaching.