3.2 Positive and Negative Aspects of
the Digital Footprint
The specifics of human behaviour patterns in
communications, in certain actions, in behaviour in
society and preferences show the personality
characteristics of each person. Considering them,
based on their DF, it is possible to predict the actions
of a person in a certain situation with a high degree of
probability. Thus, if this happens without the
knowledge of the person, there is a violation of their
privacy and the data obtained can be used for illegal
purposes. It is possible to model a situation in which
the actions of the subject can be destructive or self-
destructive, but the inevitability of these actions, even
for the object of manipulation themselves, is due to
all their previous experience. An example is the
destructive network communities, when the very
inclusion of a person in its composition already shows
readiness for certain actions.
Speaking about the positive orientation of the DF,
we can talk about prediction, for example, of the
student's learning behaviour (Azcona, Hsiao &
Smeaton, 2019). At the system level, the use of the
DF allows us to implement continuity and integration
of educational levels, effectively organize and
manage the educational process, and the most popular
direction at the present time, manage the educational
system (Mantulenko, 2021). When evaluating the
formal data of the intermediate and final educational
assessments and analysing the methods used to solve
the task based on the DF, the teacher gets the
opportunity to objectively evaluate the students'
understanding of certain subject areas. On the basis of
this, they can either provide the student with a
different way to solve the task, or change the task
itself, break it into stages, which ultimately will allow
individualizing learning using positive and objective
feedback. It is also possible to stimulate the student
by using the methods and areas of activity that are
most preferable for them in order to create positive
DF for them as an aspect of subsequent effective
employment (Buchanan, Southgate, Scevak & Smith,
2018; 12 Reasons to Research a Job Applicant’s
‘Digital Footprint’, 2021). There is no doubt that the
COVID-19 pandemic period has changed all students
in one form or another. Without a choice, they had to
learn with the use of digital technologies that change
the traditional way of the education system, change
the priorities in education, change the systems of
assessing the quality of educational activities, but one
thing is certain, that this change can no longer be
reversed (Nordmann et al., 2020). It should be
remembered that the activities of the student and
teacher within the framework of the DL have a certain
"digital footprint" that requires attention in terms of
data protection and privacy (Zwitter, 2014).
Particular importance should be attached to this based
on the possibility of analysis of the DF with the use
of artificial intelligence and creation of a
psychological portrait of a person, possible reactions
in a changing environment and possible psychiatric
problems. Which, in the end, provides the possibility
of manipulating a person (Bidargaddi et al., 2017).
Mass distance education during the COVID-19
pandemic was in itself a significant stress factor for
the mental health of students at all levels of education.
According to studies of more than 1.2 million
children and adolescents, based on self-reports,
10.5% said that they had signs of psychological
distress (Qin et al, 2021).
3.3 Digital Footprint Management and
Personal Data Protection
The very existence of DF has both a negative and a
positive assessment. At present, in the conditions of
an extremely weak level of knowledge in terms of
information protection, the negative aspect of its use
dominates. In these conditions, the formation of skills
of maintaining confidentiality of activity on the
Internet and the removal of data of the DF, the
knowledge of the possibility of their illegal use is not
only important for ensuring a comfortable life for a
person, but also for ensuring its security. In relation
to the education system, the accumulation of the
student's DF in the information systems of the
educational organization (EO) and the prediction of
their educational activities based on their DF and real
behaviour allow the EO to form a personal
educational database. There is no doubt that this
process should be based on the informed consent of
the student, both regarding the process as a whole and
collection of specific data groups (Jones, 2019).
The basis for the protection of personal data are
the national acts in this field. In Russia, these are
Federal Law No. 152-FZ from 27.07.2006 "On
Personal Data", Federal Law No. 436-FZ from 29
December 2010 "On the Protection of children from
information that harms their health and development"
and a number of other legislative acts. But the
presence of these regulations does not ensure the
effectiveness of their application, first of all, because
of their extremely inactive popularization in the
education system for individuals, the main consumers
of digital content. An example of specialized
regulations is the California’s SOPIPA (Student
Online Personal Information Protection Act, 2014),
INFSEC 2021 - International Scientific and Practical Conference on Computer and Information Security