Application of a digital footprint of educational intelligent technologies

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 activities.

Goal. The main purpose of the work is to identify educational tasks that can be solved by collecting, processing and analyzing the digital footprint of intelligent educational technologies.

Materials and methods. The research uses general scientific theoretical methods (deduction, classification and analysis), practical observational, experimental, praximetric methods, as well as diagnostic and statistical methods. As a scientific and methodological basis, materials on Russian and foreign experience in the use of digital footprint and intelligent technologies in education were taken.

Results and discussion. The paper specifies the educational process based on the analysis of the digital footprint, as well as the possibility of using the data of the digital footprint of AI systems to solve problems of optimizing educational activities, including the correction of student and teacher activities. As an example of AI technology application, an educational chatbot with the function of collecting data on the reflection of educational activities is presented.

Conclusion. The following educational tasks can be solved with the analysis of the digital footprint of AI systems: the creation of individual learning trajectories and adaptive learning, independent assessment of learning outcomes, organization of the educational process based on educational analytics, automation of communication. At the same time, intelligent technologies should be used as an additional tool and the quality of their work should be monitored by teachers and specialists in the field of AI.

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