Research On The Cultivation Of Senior High School Students Data Analysis Literacy In The Era Of Big Data

From the word "big data era" proposed by Mc Kinsey,the founder of the world-famous management consulting company,to now "5g" has gradually come into everyone's vision,and data analysis literacy has become the basic literacy to promote personal learning,life and work.Therefore,the main purpose of this study is to explore how to cultivate high school students' data analysis literacy through classroom teaching by analyzing the current situation of high school students' data analysis literacy.The whole research is divided into seven chapters.The author mainly does the following work:(1)Collect and summarize the concepts of "literacy" and "data analysis literacy" and their related research,three versions of high school mathematics textbook content related literature,including the research results of famous educators such as Lin Chongde and Wang Linquan,combined with the opinions on comprehensively deepening curriculum reform and implementing the fundamental task of building people by virtue "and" general high school mathematics curriculum"issued by the Ministry of education The standard(2017 Edition)is analyzed to lay the foundation for the concept definition and dimension division of "data analysis literacy".In addition,the author makes a comparative analysis on the content arrangement sequence and concept presentation direction of "probability and statistics" in the three versions of senior high school mathematics textbooks,which paves the way for the development of "data analysis literacy";(2)Combined with the description of the curriculum standards of various scholars and countries,the author defines "data analysis literacy" as: "the ability to have the awareness of data problems,and to skillfully solve practical problems through a series of operations,such as collecting,sorting and analyzing data information,and establishing corresponding models." The "data analysis literacy" is divided into the following five dimensions: the sensitivity to the data statistics problems contained in the actual situation,the ability to collect and extract data,the ability to collate and analyze data,the understanding of probability and statistics knowledge,and the basic data security awareness;(3)The five dimensions of "data analysis literacy" are further subdivided into evaluation indicators.According to the indicators,the corresponding questionnaires are compiled,and the level of data analysis literacy of senior high school students is further analyzed in combination with teacher interviews.The survey results are analyzed from nine evaluation indicators,and the overall level of data analysis literacy of the tested objects is lower than the middle level;(4)In view of the problems found in the questionnaire survey,the author puts forward four design points of the teaching mode of probability and Statistics Research Based on data analysis literacy,which are: "closely follow the teaching materials and learning situation,establish the teaching objectives conducive to the development of students","excavate the appropriate and appropriate life topics,create the problem situation","avoid the complicated and lengthy calculation process,and pay attention to the concept Secondly,according to the design points,the teaching cases of "normal distribution" and "independence test" are designed;(5)Two classes with similar comprehensive level are selected for teaching experiments.Taking two mathematics experimental subjects as examples,the effectiveness of the teaching mode of this study is tested through the different significance analysis combined with the data of the after-school test paper,and the training strategies of data analysis literacy of high school students are explored.It is found that the teaching mode of probability and Statistics Research Based on data analysis literacy proposed in this paper is helpful to deepen students' understanding of "probability and statistics" knowledge,cultivate students' data analysis literacy and change teachers' teaching methods.