ON THE ISSUE OF FALSE DATA IN THE DIGITAL FOOTPRINT OF STUDENTS AND METHODS OF IDENTIFYING THEM IN THE EDUCATIONAL PROCESS

Abstract

The relevance of a problem of false data in the digital footprint of students and the methods of identifying them in the educational process is due to the following contradictions identified by the authors in the process of studying the educational process of secondary vocational and higher educational institutions, highlighting the growth of digital literacy, the increase in digital data collection and the dependence of educational decisions on data quality. The objective of the study is to determine a methodology for detecting false data in the digital footprint of students and to develop approaches to improve the reliability of information collection and processing, reducing the risks of making incorrect decisions and improving the effectiveness of the educational process. The authors of the paper consider the following tasks: defining the modern concept of a digital footprint and its role in the educational process; researching methods for obtaining erroneous data when using information resources; analyzing the processing of information received from the point of view of various approaches; the use of artificial intelligence (AI) in the educational process in terms of true and false factors of the digital footprint. In the age of computer technology, it is necessary to systematize the acquisition of true data in the educational process, excluding false ones in the digital footprint of students, whose future professional activity directly depends on the formation of research interests related to intellectual analysis.