The Structuring Of Data Analysis Literacy’ Indicator System For High School Student

With the coming of the age of big data,the ability of data analysis put forward higher request to people.High school students are the future of the country pillars just,in order to make students better to meet the needs of the future society,our education calls for developing students’ literacy in data analysis.This study using literature analysis,questionnaire investigation,statistical analysis,factor analysis,trying to build high school students’ literacy in data analysis evaluation index system.The study main research contents and results are as follows:(1)The study concluded four indicators: problem situation,data processing capacity,data expression ability,statistical thinking by the way of view refining the existing research,take example by mathematics evaluation model,carries on the comparison to the mathematics curriculum standard reflection.(2)Buiding the literacy of data analysis scale according interview what is on the basis of primary index under the sub-project,then based on the scale to collect data,and using SPSS factor analysis the obtaining date.By this means,buiding secondary indicators: problem situation awareness(data,situation recognition and problem finding);Data processing capacity(production planning,data collection,data sorting,data representation,data analysis,data use);The the data expression ability(expression validity,expression ways);Statistical thinking(the experience of thinking,thinking migration ability).(3)Building data analysis model Based on the theory,using the scale 47 observation variables corresponding to three indicators.Discussing the corresponding between the four primary index、primary index and it’s secondary indexes、secondary indexes and it’s tertiary index.Finally build high school students’ s data analysis quality evaluation index system what covering 4 first-level indicators,13 secondary indicators,47 tertiary index.