=Paper= {{Paper |id=Vol-2879/paper31 |storemode=property |title=Peculiarities of cloud computing use in the process of the first-year students' adaptive potential development |pdfUrl=https://ceur-ws.org/Vol-2879/paper31.pdf |volume=Vol-2879 |authors=Hanna B. Varina,Viacheslav V. Osadchyi,Kateryna P. Osadcha,Svetlana V. Shevchenko,Svitlana H. Lytvynova }} ==Peculiarities of cloud computing use in the process of the first-year students' adaptive potential development== https://ceur-ws.org/Vol-2879/paper31.pdf
Peculiarities of cloud computing use in the process of
the first-year students’ adaptive potential
development
Hanna B. Varina1 , Viacheslav V. Osadchyi1 , Kateryna P. Osadcha1 ,
Svetlana V. Shevchenko1 and Svitlana H. Lytvynova2
1
 Bogdan Khmelnitsky Melitopol State Pedagogical University, 20 Hetmanska Str, Melitopol, 72300, Ukraine
2
 Institute of Information Technologies and Learning Tools of the NAES of Ukraine, 9 M. Berlynskoho Str., Kyiv, 04060,
Ukraine


                                         Abstract
                                         Technologies based on cloud computing is one of the demanded and actively developing areas of the
                                         modern information world. Cloud computing refers to an innovative technology that allows you to
                                         combine IT resources of various hardware platforms into a single whole and provide the user with access
                                         to them via a local network or the global Internet. Cloud services from various providers offer users
                                         access to their resources via the Internet via free or shareware cloud applications, the hardware and
                                         software requirements of which do not imply that the user has high-performance and resource-consuming
                                         computers. Cloud technologies represent a new way of organizing the educational process and offers
                                         an alternative to traditional methods of organizing the educational process, creates an opportunity for
                                         personal learning, collective teaching, interactive classes, and the organization of psychological support.
                                         The scientific article is devoted to the problem of integrating cloud technologies not only in the process
                                         of training highly qualified specialists, but also in the formation of professionally important personality
                                         traits. The article describes the experience of introducing cloud technologies into the process of forming
                                         the adaptive potential of students in conditions of social constraints caused by the COVID-19 pandemic.

                                         Keywords
                                         cloud technologies, adaptive potential, information technology, group interaction, individualization of
                                         training




1. Introduction
The introduction of cloud computing into the modern world is a necessary condition for the
progressive development of the society. The results of the research, conducted in 2018 by
Gartner, IDG and RightScale, prove that cloud computing use has become a widespread practice
around the world. According to the RightScale survey, publicly available cloud infrastructures
are in the lead in terms of implementation: 81% of companies choose a multi-cloud strategy
that uses up to five clouds on average. The hybrid strategy, which is a combination of public

CTE 2020: 8th Workshop on Cloud Technologies in Education, December 18, 2020, Kryvyi Rih, Ukraine
" varina_hanna@mdpu.org.ua (H. B. Varina); osadchyi@mdpu.org.ua (V. V. Osadchyi); okp@mdpu.org.ua
(K. P. Osadcha); shevchenko_svitlana@mdpu.org.ua (S. V. Shevchenko); s.h.lytvynova@gmail.com (S. H. Lytvynova)
 0000-0002-0087-4264 (H. B. Varina); 0000-0001-5659-4774 (V. V. Osadchyi); 0000-0003-0653-6423 (K. P. Osadcha);
0000-0002-5140-0018 (S. V. Shevchenko); 0000-0002-5450-6635 (S. H. Lytvynova)
                                       © 2020 Copyright for this paper by its authors.
                                       Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
    CEUR
    Workshop
    Proceedings
                  http://ceur-ws.org
                  ISSN 1613-0073
                                       CEUR Workshop Proceedings (CEUR-WS.org)



                                                                                                        521
and private cloud infrastructures, is followed by 51% of respondents, and 75% of organizations
use private clouds. Increasing competition between cloud service providers promotes greater
availability of services and helps to expand the capabilities of analytics and integration of
cloud computing into various areas of public practice. Global changes in social interaction
and communication, growing need for social isolation, caused by the COVID-19 pandemic
conditions, actualize the search for optimal ways of indirect interaction, communication and
learning [1, 2].
   Higher education, like many other areas of human activity, has been involved in the process
of transformation, caused by the need to meet the realities of today and actively explore the
heuristic possibilities of digital reality, generated by the Internet environment development. First
of all, it is resulted in the formation of a digital educational environment [3] and development of
distance and e-learning [4, 5]. At the same time, traditional methods of getting higher education
have not lost their relevance, they are still in demand, but in the digital age (era of digital
technology dominance) they acquire new features, determined by the formation of a new type
of learning – blended, which integrates traditional and e-learning [6]. This is primarily happens
due to a transfer of a part of educational process in a cloud environment, which is a result of
a free distribution of tools and software services in the academic environment provided by
these products manufacturers. Informatization and improvement of cloud computing learning
occupies one of the main places among numerous new areas of education [7, 8]. The relevance of
new information technology use in education is based on the fact that they serve as a tool, which
can solve certain psychological and pedagogical problems. They also provide education with
qualitatively new learning opportunities; contribute to the development of independent learning
skills. There also appear the opportunities for internalization of theoretical knowledge and
practice-oriented experience, as they stimulate the development of didactics and methodology,
contribute to the creation of new forms of learning [9]. With the development of computer
tools and introduction of cloud computing into the educational process, its participants receive
new opportunities, because new approaches are being implemented.
   One of the main problems of modern higher education is a choice of optimal combination
between the best traditions of current educational system and tools of information and commu-
nication technology, modern pedagogical innovations and trends. An urgent problem today is a
need to find the most effective cloud computing tools that take into account dynamic changes in
the educational environment and are focused on the development of various forms of thinking,
creativity, high social and adaptive capabilities of higher education applicant.


2. Related work
The history of cloud computing is presented in [10]. Since the 1990s cloud computing is viewed
as a new computer paradigm where the boundaries of computer technology itself are blurred.
Consequently, there appeared new economic opportunities of the computer technical tools use.
At that time cloud computing was actively used by commercial companies. In 1999, Salesforce
first used the Internet to provide access to its software. In 2002, Amazon introduced the first
web service using cloud computing for the retail sale of consumer goods [11]. Since 2008 “cloud
computing” has occupied its place in the educational process of many countries.



                                                522
   Badger et al. [12] defined cloud computing as a model provides easy network access to a shared
pool with con-figured computing resources (for example, networks, servers, storage systems,
programs, services). Cloud model promotes accessibility and is characterized by the following
main elements (on-demand self-service, wide network access, pooled resource, independent
location, fast flexibility, measurable services).
   We have analyzed research works on the implementation of cloud services into the educational
process, and come to the conclusion that scientific description of the development of basic web
application http://cloudcomputingreview.muhammadsuhaib.com for data collection is quite a
priority. Suhaib [13] emphasizes that cloud computing use in educational institutions provides
many benefits with minimal costs, so many institutions in Asian countries are adapting to
this digital service. Most scholars focus their research on the priority areas of cloud services
implementation into higher education.
   Allam et al. [14] highlight the benefits and challenges, discuss potential strategic issues and
demonstrate the results of surveys of both higher education applicants and IT experts.
   Kumar and Sharma [15] consider cloud computing useful for modeling and prototyping for
various STEM subjects, analyze the benefits of using cloud computing for students pursuing a
career in STEM, and describe case studies of successful cloud computing implementations in
STEM courses.
   Within the framework of empirical practice-oriented research, Lu [16] gives a quantitative
assessment and analysis of cloud computing integration into the curriculum. The scholar
conducts a comparative study of traditional teaching and that, which is carried out by means of
cloud computing use.
   Marienko et al. [17] offer a general model of adaptive cloud system of education and profes-
sional development of teachers, methods of using adaptive systems (Google Docs, IBM Box,
Microsoft Office 365) in order to support cooperation in virtual teams. They also describe a
methodology of supporting the processes of adaptive creation and use of electronic educational
resources (WPadV4, AWS).
   Nosenko et al. [18] research the issues of using adaptive cloud computing of the education
system (ACLS) in the modern high-tech educational environment and offer to expand an access
to them as they become the tools of educational and research activities in higher educational
institutions of Ukraine. Scientists pay special attention to the analysis of the conceptual
apparatus of application and design of adaptive learning systems, based on cloud computing;
reveal their main characteristics; describe the ways of their pedagogical application. In the
context of empirical research, the authors analyze the experience of Institute of Information
Technologies and Learning Tools of NAES of Ukraine in terms of the design and application of
the cloud environment for learning and research.
   Markova et al. [19] demonstrate ways to implement models of cloud services SaaS, PaaS,
IaaS, which should be used in the academic courses of mathematical, scientific cycles and in the
future specialists’ professional and practical training in the field of information technology, on
the example of software engineering, computer science and computer engineering. Researchers
identify and analyze the most significant benefits of cloud computing use in the training of
future information technology experts, namely they research a possibility of using modern
parallel programming tools as the basis for cloud computing.
   Taking into account the pandemic conditions of higher education transformation and intro-



                                               523
duction of cloud computing into the educational environment, the issue of using available cloud
computing tools in the process of psychological support and development of students’ adaptive
potential remains uncovered.


3. Research methods
Interdisciplinary research was conducted as part of research work, carried out at the expense of
the state budget general fund: “Adaptive system for individualization and personalization of
future professionals’ training in the conditions of blended learning”, number of state registration
0120U101970. Taking into account the pandemic conditions and social isolation, from 2019 to
2020, it was proposed to implement the program “The first-year students’ adaptive capacity
development in a modern educational institution”. This program, which was based on the
cloud computing elements use, was implemented in Bohdan Khmelnytsky Melitopol State
Pedagogical University with the support of University Psychological Center. Methods used in
the research process: method of theoretical analysis of literature sources on the introduction of
cloud computing into the educational process of higher education, analysis of modern experience
of psychological and pedagogical support of the integrative process of the first-year students’
adaptive potential development, analysis of practical implementation of Google Workspace for
Education Edition into the process of the first-year students’ adaptive potential development, a
set of psychodiagnostic tests using Google Form.


4. Research results
4.1. Theoretical foundations
In the study of the National Institute of Standards and Technology there are 3 models of cloud
services (figure 1).
   Recommendations for the effective use of cloud computing in universities are given in the
technical report of the research group of the University of California at Berkeley [20]. This
report presents 10 obstacles and 10 opportunities that clouds provide to businesses, including
educational institutions. Cloud providers, which own data centers, use cloud utilities to enable
cloud users and SaaS providers to use web-based “Software as a Service” (SaaS).
   The analysis allowed us to identify the following advantages of using cloud computing in the
educational environment:

    • economic: the main advantage for many educational institutions is cost effectiveness. This
      is especially noticeable when services, such as e-mail, are provided for free by external
      providers. Equipment for these services may be used for other purposes;
    • technical: minimum hardware requirements (the only one condition is access to the
      Internet);
    • technological: most high-level cloud services are either fairly easy to use or require
      minimal support;
    • didactic: a wide range of online tools and services that provide a secure connection and
      opportunities for cooperation between teachers and students;



                                               524
Figure 1: Architectural components of “clouds”.


    • health-saving: in pandemic conditions support and possibility of continuous educational
      activities are provided, even in the conditions of self-isolation.

   Currently, the major providers for educational institutions in Ukraine are Microsoft and
Google, which provide clouds and SaaS to schools, colleges and universities on a free basis.
In addition, cloud computing challenges software developers and this fact is connected with
a merge of new generation of software applications [21]. The use of cloud computing in the
educational process allows educational institutions to use computing resources and software
applications as a service via the Internet. It also allows to intensify and improve the learning
process. Examples of modern services for education, based on cloud computing, are Office
365 Education from Microsoft and Google Workspace for Education. When using the Google
Workspace for Education cloud platform, students and teachers can use the following basic
tools: Gmail with support for text, voice (Google Talk) and video chat; Google Drive (a storage
size is 15 GB by default) for saving files and providing access rights to them; Google Docs –



                                                  525
a tool for creating documents, spreadsheets and presentations of any complexity with the
ability to use templates; safe, an additional tool of Google Workspace for Education, which
allows you to manage information, i.e. to organize a quick search for necessary information,
archive and export e-mail message to standard formats; organize protection of information
from accidental or intentional deletion; create databases on user’s activity and data history
[22]. Google Workspace for Education have been constantly expanding a range of services for
educational institutions, creating additional services such as Apps Marketplace (implementation
and integration of web services compatible with Google Workspace for Education); Google
Moderator (a service for creating categories of questions for discussion), etc. [23] (figure 2).




Figure 2: Functional opportunities of Google Workspace for Education.

   Given that future specialists use information technology in almost any activity, and taking
into account huge popularity and versatility of Google, the use of educational resources, created
on its basis, allows us to organize the learning process in such a way that students actively
and enthusiastically master the educational materials. In these terms the Google Classroom, a
learning management system, is especially convenient (figure 3).
   This system has many advantages:
    • access to materials from any place;
    • creation of a task and distribution of its individual copy for each student;
    • joint work on tasks, implementation of project activities;
    • real-time communication;
    • possibility of conducting interactive classes online;
    • tasks assessment.
  Currently, in order to work with the service, you need only an Internet connection, a browser,
and any freely available operating system. The only condition is to register your own mailbox



                                               526
Figure 3: Advantages of Google Classroom implementation into the educational process.


in Gmail and get the access key, which is generated by Google Classroom for each class. It
should be noted that in order to use Google Class in your school, you have to create a free
account in Google Workspace for Education. The Google Classroom can contain not only tasks
to be performed during the lessons, but also links to useful resources, including a discipline
site, created by means of Google service. It is advisable to fill the course with lectures, practical
classes, individual tasks for students and links to information resources that may be needed
while doing a course: textbooks, manuals, regulations, Internet resources, videos, etc. Such
availability of teaching aids, opportunity to review and look through them again and again
provide necessary conditions for the internalization of the learning materials. The Google
Classroom e-learning environment also allows users to import elements from other services,
including small interactive LearningApps.org modules, which can be used directly as educational
or training resources and allow students to learn the most important categories of the course in
a form of a game. The advantages of cloud computing in the educational environment provide
an opportunity to consider them as a deterministic component of the impact on professionally
important and personality-oriented competencies development [24].

4.2. Empirical implementation
In the period of education reform, the problems of students’ adaptation to new forms and con-
ditions of life are becoming increasingly important. It causes the need to improve psychological
support of educational process. The first-year students adaptation to higher education is one of
the important issues, because it is a period of the most intensive flush of intellectual and moral
forces of a person. Personal adaptive potential (as an integral feature of mental development)
is viewed as personality’s interconnected psychological features which determine the success
of adaptation and provide a possibility of maintaining professional health. Characteristics of



                                                527
personal adaptive potential can be obtained by assessing the level of behavioral regulation
(BR), communicative potential (CP) and the level of moral norms (MN). Adaptive potential is
considered to be a person’s systemic feature, which determines the limits of his or her adaptive
capabilities and reaction to the influence of certain factors and conditions of the environment.
Adaptive abilities provide adequate fulfillment and high efficiency of work under the influence
of psychogenic environmental factors. Under the sociopsychological adaptation, we understand
the process and result of active human adaptation to the conditions and requirements of social
environment through mastering and acceptance of the requirements, values, and norms of
behavior which are common for this environment [25]. In this context, the main function of
adaptation is a person’s acceptance of norms and values of new social environment, forms of
social interaction that have developed in it, formal and informal relationships, as well as forms
of learning. Thus, taking into account the pandemic limitations, teachers of the Department of
Psychology together with leading experts of the Department of Informatics and Cybernetics
have developed and tested the program “Adaptive” using the functional opportunities of Google
Workspace for Education. The program is designed for 10 days, 2 hours daily, and is carried out
during the first weeks of September.
   This adaptation program for the first-year students contributes to more intensive and purpose-
ful habituation of students to university conditions, enhances team building, on the other hand
it helps students and curators to establish interaction, create a friendly atmosphere in the group,
form a positive internal motivation. The innovative information component of the program is
its configuration and implementation through the cloud computing use in the conditions of
social isolation, caused by the COVID-19 pandemic. In order to identify the effectiveness of the
program “Adaptive”, based on Google Workspace for Education, we conducted a comparative
analysis of students’ adaptive potential. There were two groups: control group (28 people) – the
first-year students (future psychologists) who participated in the traditional program “Adaptive”
in 2019 without the use of cloud computing; and experimental group (30 people) – the first-year
students (future psychologists) who participated in the program “Adaptive”, implemented on
the basis of cloud computing in 2020.
   After the formative experiment, there was a tendency to an increase of the adaptive abilities
of experimental group students (table 2).
   Thus, as it can be seen from the table 2, the average level of adaptive abilities in the experi-
mental group has increased by 13.33% (from 20.00% to 33.33%) due to a decrease of 26.67% in the
number of students with a low level of this indicator (from 80.00% to 53.33%). This proves that
first-year students have become less vulnerable to adaptation problems; they have developed
the skills necessary for the adaptation to the new educational environment and acquired basic
adaptation mechanisms. In addition, due to the work done in the experimental group, students
with a high level of adaptive abilities (13.34%) were identified. They demonstrated the ability to
successfully adapt to various requirements of new educational environment, they can easily
and adequately orient in the new situation, quickly choose the strategy of their behavior and
socialization, which is manifested in the use of certain adaptive mechanisms in the conditions
of study in university. In contrast, the indicators of adaptive abilities of the control group
students have remained almost unchanged (the percentage of students with a satisfactory level
has increased from 25.00% to 28.57%, and a low level of this parameter has decreased by only
3.57%). These minor changes are insignificant. In addition, we didn’t identify a high level of



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Table 1
Design of the program “Adaptive” based on Google Workspace for Education services)


 Stages of program     Basic activities
 implementation
 Preparative unit          1. Development and approval of the program “Adaptive”.
                           2. Uploading elements and tasks of the program into the Google Class-
                              room environment.
                           3. Training of trainers (teachers of the Department of Practical Psychol-
                              ogy), who are responsible for conducting Adaptive at the faculties.
                           4. Training of group curators for the Adaptive use.
                           5. Organizational work, carried out by heads of the program and people
                              responsible for it at the faculties.
 Implementation of     first-year students’ acquaintance with peculiarities of work in Google Class-
 program “Adaptive”    room environment and functional opportunities of Google Workspace for
                       Education which will be used within the framework of the program; acquain-
                       tance with the legal framework of University; demonstration and discussion
                       of “Checklist for the first-year students”; viewing and discussing 3D tours;
                       acquaintance with the information base of the university site
 Corrective-           delivery of psychological transformation games, trainings aimed at the devel-
 developmental         opment of personal adaptive potential (for example, T-game “Wings”, “Our
 unit                  State"”); group forum “We are a single team”, “Getting to know the world-
                       views of group members”; group online quest “Close-knit team”; watching
                       and discussing the video “Principles of team building”; creation of online art
                       collages and presentations “My future profession”, “Learning to be together”;
                       activities for interaction and communication; presentation of online projects
                       of microgroups “Rules and values of our group”
 Preventive unit       diagnosis of psychological personality traits, using the Google form, in order
                       to identify the first-year students’ adaptive potential and prevent the manifes-
                       tation of maladaptive forms of behavior; keeping online diaries “Emotional
                       state map”, in order to prevent mental stress; Group discussion – “Success-
                       ful communication”, 16 principles of building interpersonal communication,
                       “Consilium”, “Live line”; corrective activities to prevent mental stress during
                       the period of the first-year students’ adaptation
 Reflexive unit        receive feedback using the Google Forms; diagnostics of levels of development
                       of the first-year students’ adaptive abilities by means of the Google Forms;
                       online presentations of the essay “I am a future specialist. My profession in
                       10 years”
 Analytical stage      processing of the results of psychodiagnostic research; feedback survey analy-
                       sis; making a list of “first-year students’ risk groups”, people, who demonstrate
                       initial manifestations of maladaptation; development of a list of recommenda-
                       tions and a plan for psychological support of “risk groups”




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Table 2
Quantitative indicators (%) of levels of adaptive abilities development of the first-year students of
experimental (𝑛 = 30) and control (𝑛 = 28) groups after a formative experiment. Indicators in %
(absolute number)


 Level of adaptive     Experimental         Experimental      Control group
                                                                                Control group after
 abilities             group before         group after       before
 High level            0                    13.34(4)          0                 0
 Satisfactory level    20.00 (6)            33.33 (10)        25.00 (7)         28.57 (8)
 Low level             80.00 (24)           53.33 (16)        75.00 (21)        71.43 (20)



adaptability among the students of the control group.
   This work helped to increase the neuropsychological stability of students. According to the
results of the formative experiment, there was an increase in the level of neuroemotional
stability in both experimental and control groups. But more significant changes took place in
the experimental group. In particular, a number of students with a low level of neuroemotional
stability has decreased by 10% (from 66.66% to 56.66%) and a number of the first-year students
with a high level of this indicator has increased by 10%. This states that participants have
become more optimistic about reality in terms of adaptation, they realistically assess their role
in a team and relationships, focus on compliance with generally accepted norms of behavior,
adequately perceive new requirements of the intellectual and educational environment. The
same changes in the control group were identified only partially (a number of students with a
low level has only decreased by 3.57% and, accordingly, the percentage of students with a high
level of neuro-emotional stability has increased).
   The introduced system of psychological and pedagogical support has somewhat affected the
indicators of development of the first-year students’ communicative skills. Positive changes in
the development of communicative skills are more significant among the first-year students
of the experimental group. In particular, a high level of development of these skills in the
experimental group has increased by 10% (3 63.33% to 73.33%) and, accordingly, the indicator of
a low level of development of these skills has decreased by 10% (from 36.67% to 26.67%). Students
became less conflicted, more open and tolerant to each other in the process of communication;
it became easier for them to establish contacts with others. The work contributed to more
effective interaction and mutual understanding in the process of joint intellectual activity. Due
to the developed skills of effective communication of the experimental group students there
was an improvement in relationships in the group and beyond. It has to be noted that there
were also changes in the control group, but they were not so significant. The changes in the
indicators of high and low levels of the development of communicative skills were only by
3.57%. This number of the first-year students was able to get rid of problems in establishing
contacts with others in the process of joint intellectual activity.
   The conducted work also had a positive impact on the indicators of moral norms of the
first-year students. Positive changes in the indicators of moral norms are present only in the
experimental group, but they are also insignificant. A number of students with a high level has



                                                530
increased only by 3.34% (from 90.00% to 93.34%) and, accordingly, a number of respondents with
a low level of development of moral norms has decreased by 3.34% (10.00% to 6.66%). Thanks to
the acquired skills of adaptive behavior, the first-year students learned to accept the proposed
new social role, moral and ethical norms of behavior and requirements of the new intellectual
and educational environment. In the control group, these indicators, according to the formative
experiment results, remained constant. In our opinion, this is due to the fact that students have
not experienced adaptive behavior, they haven’t been aware of the ways to overcome difficult
situations, and therefore they can not always clearly assess their place and role in a team. These
students do not even try to stick to generally accepted moral and ethical norms of behavior and
new educational environment requirements.
   The students of the experimental group have also shown positive changes in the indicators
of the level of adaptability (table 3).

Table 3
Quantitative indicators (%) of levels of adaptability of the first-year students of experimental (𝑛 = 30)
and control (𝑛 = 28) groups after a formative experiment. Indicators in % (absolute number)


 Level of adaptabil-    Experimental          Experimental       Control group
                                                                                   Control group after
 ity                    group before          group after        before
 adaptability           43.33 (13)            63.33 (19)         46.43 (13)        50.00 (14)
 maladaptability        56.67 (17)            36.67 (11)         53.57(15)         50.00 (14)


   Table 3 shows that a number of experimental group students, who became more adaptive,
increased by 20.00% (from 43.33% to 40.00%). This indicates that students have become more
able to adapt to the changing conditions of the educational environment, they analyze and
adequately perceive it, maintain their integrity and avoid destructiveness under the influence
of change, correlate their goals and outcomes. While participating in the program, they learned
to orient more adequately in a new learning situation, while maintaining the optimal level of
their mental capacity. Due to this fact, a number of people, who showed maladaptation, has
decreased by 20.00% (from 43.33% to 63.33%) and all of them show unsuccessful attempts to
achieve the goal, they demonstrate some contradictions between their intentions and actions,
plans and their implementation, motivation for action and its results. The results of the control
group are almost unchanged, in this sample the level of maladaptability has decreased only by
3.57%.
   It should also be noted that our program “Adaptive”, based on the use of cloud computing,
has influenced the level of the first-year students’ acceptance of others. The experimental group
underwent the most qualitative changes in the levels of the first-year students’ acceptance of
others. It should be noted that a number of students who have become more able to accept
other people as they are has increased by 6.67% (from 86.67% to 93.34%). They have learned
to respect the uniqueness of others and their right to be themselves, they have also learned to
accept the unconditional value of other people and be able to trust them. The experimental work
contributed to the first-year students’ acceptance of the inner world, the essence and abilities of
other people. Accordingly, a number of respondents, for whom another person is not a unique



                                                  531
person capable of their own changes and possessions, has decreased by 6.67% (from 13.33% to
6.66%). According to the formative experiment results there were also some changes in the
control group, but they are not so significant. In particular, only 3.57% (from 89.29% to 92.89%)
of the first-year students have undergone qualitative changes in the degree of their acceptance
of other people. The reason for it we see in a lack of students’ experience of understanding the
inner world of others, their uniqueness and individuality, presence of inflated self-esteem.
   Formative experiment results indicate positive changes in the indicators of emotional comfort
in a new intellectual and educational environment. Based on the obtained data, it can be stated
that a number of the experimental group students, for whom higher education is associated
with emotional comfort, has increased by 13.33% (from 96.67% to 83.34%). It proves the fact that
students have become more confident in themselves and others, feel more secure and calm in
the new intellectual and educational environment, they have lost the feeling of anxiety in a
new learning situation. Accordingly, a number of respondents of the experimental group, for
whom the new educational space is associated with discomfort and emotional experience of
learning situation as an unpleasant and difficult one, has decreased by 13.33% (16.66% to 3.33%).
It disrupts their normal learning and mental activity. Formative experiment results indicate
some slight changes in the above mentioned indicators among students of the control group. In
particular, the difference between the indicators before and after the experimental work in this
sample is only 3.57%. The lack of adaptive mechanisms does not allow first-year students to get
rid of anxiety, worry and fear associated with a new learning and mental activity. It negatively
affects their functioning, confidence and mental capacity.
   Indicators of dominance and subordination in the first-year students relations according to the
results of the formative experiment show that qualitative changes in this indicator are found
out only among the experimental group students, but they are insignificant. In particular, a
number of respondents for whom dominance is a characteristic feature in the relationship, has
increased by 3.34% (from 80.00% to 83.34%). Thus, it can be stated that the implemented system
to some extent contributed to the development of the first-year students’ faith in their ideas
and capabilities, encouraged them to be a leader, and be able to manage their destiny without
lowering their expectations after many failures. It also helps them to maintain a sense of control
over the environment. Accordingly, there is a decrease by 3.34% (from 20.00% to 16.66%) in the
number of respondents, who prefer subordination, and want to obey the decisions of leaders.
They don’t feel able to manage the events of their lives, even after success. In our opinion, such
insignificant changes are connected not with the ineffectiveness of the implemented program,
but rather with the internal attitude, type of temperament and worldview of students. Instead,
the indicators of the control group according to the results of the experiment remained constant.
   Qualitative changes in the indicators of students’ escapism have taken place. According to
the experiment results, it was found out that the most significant changes were recorded in the
experimental group, where this indicator has increased by 9.97% (from 83.34% to 73.37%). The
indicators of these students’ escapism are within normal limits, these students are able to either
escape problems or solve them by looking for constructive methods, choosing alternative ways
and applying their personal and intellectual potential. But the chosen strategy depends on a
situation. Due to it, a number of respondents, who are characterized by a high level of escapism,
has decreased by 13.34% (from 20.00% to 6.66%). These students experience difficulties during
the fulfillment of educational and mental activities in the university, as there appear some



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problems during their adaptation to the educational institution. It has to be mentioned that a
number of the first-year students with a low level of escapism has increased by 3.34% (from
6.66% to 10.00%). During formative experiment, students learned to solve difficult situations,
keeping faith in themselves and their abilities, as well as to manage the appropriate level of
their mental capacity. Some changes in this regard were recorded in the control group, where
the indicators of a high level have decreased by 3.58% (from 14.29% to 10.71%) and a level of
escapism within the norm has increased by 3.58%, respectively (from 82.14% to 85.72%). In
addition, a lack of skills of constructive problem solving left unchanged, the indicators of a low
level of escapism in the control group were 3.57%.
   The implemented program also contributed to the correction of indicators of psychophysio-
logical maladaptation of students (table 4).

Table 4
Quantitative indicators (%) of levels of psychophysiological maladaptation of students of experimental
(𝑛 = 30) and control (𝑛 = 28) groups after a formative experiment. Indicators in % (absolute number)


 Level of maladapta-   Experimental          Experimental      Control group
                                                                                 Control group after
 tion                  group before          group after       before
 high                  6.66 (2)              0                 7.14 (2)          7.14 (2)
 sufficient            10.00 (3)             3.33 (1)          10.71 (3)         7.14 (2)
 medium                70.00 (21)            60.00 (18)        67.86 (19)        71.43 (20)
 low                   13.37 (4)             36.67 (11)        14.29 (4)         14.29 (4)



   Table 4 shows that in the experimental group there were significant changes in the indicators
of maladaptation. In particular, a number of students with a low level has increased by 23.3%
(from 13.37% to 36.67%) and a sufficient level of maladaptation has decreased by 6.67% (10.00% to
3.33%). It shows that some students have overcome strong feelings, associated with insufficient
socialization in the new conditions. They struggle with unacceptable attitudes, sharp change in
living conditions, and a break in important social relations, etc. In addition, the work allowed
to completely “get rid” of students with a high level of psychophysiological maladaptation (0%
instead of 6.66%). They became more adaptable to the life and conditions of university, acquired
skills of independence in the organization of their mental activity. The indicators of a medium
level have also changed (from 70.00% to 60.00%) due to the change of the indicated results.
Students have learned to overcome difficulties, associated with changing forms of learning,
teaching and assessment methods, and the discomfort of a new learning environment. Instead,
the results of the control group according to this indicator have remained almost constant.
The number of students with a sufficient level has decreased by only 10.00% and increased
accordingly in terms of the medium level of maladaptation. The experimental work contributed
to the effective formation of experimental group students’ value motivation to study in the
university (table 5).
   As we can see from table 5, there was an increase of 16.66% in the number of experimental
group students seeking for mastering the profession (from 10.00% to 26.66%). Thus, they
rethought themselves as future professionals, they began to strive to develop professionally



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Table 5
Motives of learning of students of experimental (𝑛 = 30) and control (𝑛 = 28) groups according to the
formative experiment results. Indicators in % (absolute number)


                                Experimental       Experimental      Control group     Control group
 Motives of learning
                                group before       group after       before            after
 Knowledge acquisition          33.36 (10)         36.67(11)         28.57 (8)         28.57 (8)
 Professional development       10.00 (3)          26.66 (8)         7.14 (2)          10.71 (3)
 Getting a diploma              56.66 (17)         36.67 (11)        64.29 (18)        60.71 (17)



important qualities, to become an educated person and a highly professional specialist. In
addition, a number of the first-year students, who are focused on acquiring certain professional
knowledge, showing curiosity, determination and independence in the process of learning, has
slightly increased (from 33.36% to 36.67%). Due to it, a number of respondents, who consider
getting a diploma and higher education to be a priority when studying in the university, has
decreased by 20.01%. So, it can be stated that learning motivation of the first-year students of
the experimental group after the implementation of the program has become more evident.
Analyzing the indicators of the control group, we can see only episodic changes. There was a
shift of only 3.57% in terms of mastering the profession and getting a diploma.
   Along with it, the created conditions contributed to the development of different types of
relationships, characteristic for a team, which improves the microclimate in the group (table 6).

Table 6
Quantitative indicators (%) of levels of social relations development among the students of experimental
(n = 30) and control (n = 28) groups after the formative experiment Indicators in % (absolute number)


                       Experimental           Experimental      Control group
 Types of relations                                                                Control group after
                       group before           group after       before
 informativeness       33.34 (10)             10.00 (3)         39.29 (11)         32.13 (9)
 contacts              23.34 (7)              3.33 (1)          21.44 (6)          21.44 (6)
 openness              13.33 (4)              13.33 (4)         10.71 (3)          14.29 (4)
 responsibility        13.33 (4)              16.67 (5)         10.71 (3)          7.14 (2)
 collectivism          6.66 (2)               30.00 (9)         7.14 (2)           7.14 (2)
 unity of opinion      10.00 (3)              23.34 (7)         7.14 (2)           14.29 (4)
 good organization     -                      3.33 (1)          3.57 (1)           3.57 (1)



  As it is seen from table 5 after the experimental work collectivism has become a priority for
the experimental group students (from 6.66% to 30.00%), as well as a unity of opinion (from
10.00 to 23.34%) and responsibility (from 13.33 up to 16.67%). They became more eager to work
together to solve all issues, at the same time preserving and strengthening the group as a whole,
preventing its destruction. Students note that the group has common ideas and goals understood



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and perceived by everyone as their own. In addition, the first-year students have changed their
attitude to joint mental and educational activities, to the tasks which the group has to do. It
is the development of such relationships that most students in the experimental group have
noticed. In addition, students became more organized (the indicator has increased by 3.33%),
but they remain open to others (the result hasn’t changed – 13.33%). It indicates the ability
of the group to independently organize its work and leisure, quickly create an organizational
structure of business relationships which are necessary for effective group work. In the control
group, the results are stable according to almost all parameters.
   Analyzing the obtained empirical data, we have come to the conclusion that there was an
improvement of psychological and psychophysiological indicators of the first-year students’
adaptive abilities as a result of their participation in the program “Adaptive”, based on the use
of cloud computing.


5. Conclusions and recommendations for future research
The rapid spread of cloud computing makes modern educational environment integrate cloud
services into the educational institution, review its IT-infrastructure and introduce innovative
technologies into the educational process. The use of Google Workspace for Education in the
educational process not only contributes to the fulfillment of main task of modern education
– formation of a competitive and successful personality in the electronic information society,
but also significantly improves and diversifies the activity of a teacher, activates creativity of
students, creates appropriate conditions for the formation and development of their relevant
skills and abilities, improves the assimilation and reproduction of information obtained by
them, promotes the development of students’ adaptive potential. The implemented program
“Adaptive”, based on the cloud computing use, proved to be effective, as the experimental group
students demonstrated significant positive changes (qualitative and quantitative) in the indica-
tors of mental performance and psychological and pedagogical conditions of their development.
The obtained results show a tendency to increase the adaptive abilities of the experimental
group respondents, their neuropsychological stability and level of their adaptability. Students
developed the skills necessary for their adaptation to the new intellectual and educational envi-
ronment, they became more optimistic about it, they are able to use basic adaptive mechanisms,
at the same time maintaining their integrity. The experimental work helped to reduce a level of
the first-year students’ psychophysiological maladaptation and sociopsychological stress; they
became more adaptable to the life and conditions of university, acquired skills of independence
and personal stress resistance in the mental activity. The experimental program also influenced
the development of students’ learning motivation, their focus on the acquisition of knowledge,
curiosity and independence in performing intellectual tasks. There was a certain increase of a
percentage of experimental group students who choose a strategy of coping, focus on solving
the problem with the orientation for its rational analysis and constructive solution. After the
experimental work, collectivism, unity of opinion and responsibility became a priority for the
experimental group students. We have also noted a desire to fulfill joint activity, preserve and
strengthen group as a whole, admit the value of each group member. As a result of the analysis
of program participants’ feedback, we can say that there is an increase in students’ interest in



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some information services. It means that it is important to carry out a work on the introduction
of cloud computing into the educational process. We consider information and communication
technology to be a powerful means of increasing not only the effectiveness of learning, but
also the development of professionally important personal traits as well as formation of future
specialist’s competitiveness.


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