title: Application of a digital footprint of educational intelligent technologies
abstract: Introduction. In data-centric learning models that have emerged due to the widespread use of electronic and distance education, digital data on education is collected and further analysis of the facts of the educational process is carried out in order to increase the efficiency of educational activities. Due to the increasing use of artificial intelligence (AI) in education, it seems relevant to consider the possibilities of using the digital footprint of AI technologies in educational activitie
journal: Вестник Северо-Кавказского федерального университета