ГРАМОТНІСТЬ У ГАЛУЗІ ДАНИХ: ВИЗНАЧЕННЯ, ПІДХОДИ, НАПРЯМИ ФОРМУВАННЯ

The article reveals the issues related to the formation of student’s data literacy. Definitions of statistical literacy and their development over time, approaches and ways of literacy formation, as well as the methods of teaching relevant courses are analyzed.Based on the analysis of the UN experts’ definition of data literacy, the content of the European Digital Competence Framework for citizens, the UNESCO Teachers’ ICT Competency Standards and the National Statistics Development Program of Ukraine until 2023, it is found that data literacy is considered one of the important 21st century skills. It is shown that the content of competence in the data field differs depending on what is taken as the basis: focus on working with scientific data, emphasis on education of citizens in the field of data, employers’ requirements for employees, requirements for teachers, students, analysts, etc. Understanding of adults’ data literacy develops over time. Currently, it is not enough to prepare only critical consumers of statistical information, the emphasis is on an effective approach, the ability to produce data, as well as understand the properties of big data, algorithms for processing and presentation to consumers, ethical implications and data privacy issues.An analysis of the experience of the developed countries (Australia, Canada, United Kingdom) on approaches to generating statistical literacy indicates the prospect of isolating different consumer segments and developing several levels of statistical literacy, from basic to advanced; society as a whole must be at a basic level and students, thought’s leaders and decision makers should be at an advanced level.New forms of student’s activity related to data analysis introduced by academics and practitioners are discussed: building art objects and storytelling based on data; shared data collection by citizens through mobile devices, “play with data” using modern data visualization services. Paths of updating statistical literacy courses for Ukrainian sociology students are outlined, based on a synthetic approach and taking into account the barriers that arise during studying quantitative methods courses

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