Forecast of academic performance students college by using big data technology

Suvorov Stanislav Vadimovich, Tsarkova Natalya Ivanovna, Pereverzeva Vladislava Igorevna

The Article is devoted to the consideration of Big Data technology as a tool for assessing the effectiveness of secondary vocational education, which can determine the trends of student performance, the prerequisites for deductions and the change of one's specialty to another depending on various indicators. In order to solve the problem of assessing the effectiveness of SPO, the review of domestic and foreign literature is carried out, the task of creating a tool that can determine the trends of student performance using mathematical methods and information technologies is set. A Significant result of the study is the description of Big Data technology, identification of distinctive features of this technology, structuring of processes, definition of the system of data collection and processing in an educational institution and designation of the properties of the collected data Big Data. The considered technology of big data operation aimed at the forecast of progress will provide the analysis which can be used by educational Department for preventive measures and conversations with parents and children; for the reporting and for increase of efficiency of educational system.

Keywords:Big Data technology, data collection, education efficiency, students 'performance, forecasting