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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>The Group Methodology of Using Cloud Technologies in the Training of Future Computer Science Teachers</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Acting Director</string-name>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Associate Professor of the Department of Informatics and Methods of Its Teaching Volodymyr Hnatiuk National Pedagogical University of Ternopil</institution>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Instructor of Methodology and Subject Content Department, Ternopil Regional Municipal Institute of Postgraduate Education</institution>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>Lead Researcher of Comparative Studies Department for Information and Education Innovations, Institute of Information Technologies and Learning Tools of NAES of Ukraine</institution>
        </aff>
      </contrib-group>
      <fpage>0000</fpage>
      <lpage>0002</lpage>
      <abstract>
        <p>The development of cloud computing resources and their implementation in university education require an increase in the ICT-competence of future computer science teachers. The article considers the use of project method as an effective tool of encouraging students' cooperation while solving practical problems and as a means of developing their essential professional skills. The following pedagogical approaches and techniques were used: partnership of group members, development of group work skills, heterogeneous grouping, combined use of individual and peer assessment, teacher's monitoring of the students' work, focus on the task and group work skills, chance for every member to be a leader, essential feedback. The authors suggest using private and public cloud technologies to support the implementation of group methodology in the teaching process. One of such technologies is academic cloud based on the Apache CloudStack platform. This cloud environment is deployed in Physics and Mathematics Department of Ternopil V. Hnatiuk National Pedagogical University. The suggested method has been verified experimentally by using Wilcoxon signed-rank test.</p>
      </abstract>
      <kwd-group>
        <kwd>ICT-competence</kwd>
        <kwd>project method</kwd>
        <kwd>cloud computing</kwd>
        <kwd>e-learning</kwd>
        <kwd>future computer science teachers</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>The educational reform which is currently under way in Ukraine among its many
priorities calls for the urgent implementation of effective modern teaching
technologies in the system of training competitive specialists. One of the ways to rise to a new
level of the education quality is the use of cloud technologies, development of
education clouds in Ukraine’s universities in particular.</p>
      <p>According to extensive research in the field, the problem of creating cloud-oriented
environment in higher educational institutions is still relevant. The issues relating to
the implementation of cloud technologies in education have been explored by V.
Bykov, O. Glazunova, N. Morse, S. Lytvinova, O. Spirin, M. Shishkina, A. Alkhansa,
A.A. Shakeabubakor, E. Sundararajan, A. Hamdan and others.</p>
      <p>
        Yu. Nosenko’s paper [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ] contains an analysis of cloud technology in Open
Education Space. M. Shyshkina in her paper [
        <xref ref-type="bibr" rid="ref14">14</xref>
        ] analyses the term ‘cloud-based learning
environment’ and develops a cloud-based model of access to learning resources.
Professional development of teachers using cloud services was researched by
S. Lytvinova and O. Melnyk [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ]. A model of cloud oriented learning environment for
Bachelors of Informatics training is investigated by T. Vakaliuk [
        <xref ref-type="bibr" rid="ref16">16</xref>
        ]. The study of
A. Stryuk and M. Rassovyts’ka is devoted to analysis of е-Learning development
through cloud computing [
        <xref ref-type="bibr" rid="ref13">13</xref>
        ].
      </p>
      <p>
        "Academic cloud" of a university is a cloud-oriented environment of an
educational institution which combines hardware, software and information resources and
services, functions on the basis of technologies of cloud computing and provides the
academic process with the resources of the university local network and Internet
access [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]. University academic clouds are aimed, above all, at facilitating personal
development of the faculty and students, encouraging their professional
selfrealization.
      </p>
      <p>The goal of this article is to research effectiveness of group methodology of
training future teachers of computer science in university cloud-oriented environment.
2</p>
    </sec>
    <sec id="sec-2">
      <title>Presentation of the main results</title>
      <p>The cloud-oriented environment [14; 1] defined above was used for the development
of component methodology designed for the instruction of prospective computer
science teachers. In particular, we focused on the formation of professional and
technology components of ICT competencies. These competencies reflect the professional
qualifications of the future teacher. For computer science teachers it is necessary to
determine those competencies that are directly related to their profession and cover
the content of the school ICT syllabus.</p>
      <p>
        The technology competencies of computer science teachers may be subdivided into
two groups [
        <xref ref-type="bibr" rid="ref12">12</xref>
        ]:
─ competence in basic technologies – fundamental professional qualifications which
for ICT teachers are considered as educational technologies (general teaching skills
and resources of a computer science teacher);
─ information technology competence, which determines the required learning
outcomes of innovation information technologies and methods of their application in
the teaching process.
      </p>
      <p>
        We used project work as the main method of instruction. A project is a task or
problem which commonly engages a group of students and supplements traditional
classroom studies. The notion of "project" encompasses different activities characterized
by a number of common features [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]:
─ focus on achievement of specific purposes, certain results;
─ coordination of interrelated actions;
─ limited timing with a clearly defined beginning and end.
      </p>
      <p>Project work is aimed at formation of professional qualifications and skills,
development of study habits and need for continuous learning, as well as practical application
of the acquired knowledge.</p>
      <p>The project under study involved first-year students majoring in "Pedagogical
education. ICT, Mathematics, Physics". To cope with the tasks, the students were
supposed to have basic knowledge of the following disciplines: Operating Systems,
Computer Architecture and Software. The students had one week to complete all the
tasks. The focus of the study was computer training. The project consisted of several
practical tasks, complex in nature. Students worked in groups, each group having the
same tasks to do. Our hypothesis was that conditions favorable for the increase in the
student motivation can be created in the process of group work. However, interaction
of group members does not guarantee the formation of the desired set of educational
motives.</p>
      <p>
        The researchers distinguish between three possible levels of relations depending on
the type of students’ interdependence in the group: weak, medium and strong [
        <xref ref-type="bibr" rid="ref15">15</xref>
        ].
Weak interdependence is typical of a group where the most prepared member can
perform all the work and score high without the help of other group members. As a
rule, in such cases, group members are not willing to cooperate. In the atmosphere of
strong interdependence a group gets united by sharing a common purpose and
displays high involvement of all group members. Joint activity brings people together
and encourages them to collaborate, so that no member of the group is left out.
Research accomplished through cooperation appears to be more logical, sound and valid,
its results are usually better grounded and supported by thorough argumentation.
Cooperative work triggers creativity and encourages group members to think outside the
box.
      </p>
      <p>
        Group work in the classroom may occasionally result in cases of negative
interdependence, which in its turn promotes students’ competitiveness [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ]. It would be a
mistake to believe that such experiences should have no place in the learning process.
Competition is an intrinsic part of everyday life and people need to adapt to it.
Conflicts are real and inevitable, and the ability to win can hardly be overestimated in the
modern world.
      </p>
      <p>The study demonstrated that students face problems in cooperative learning when
they lack interpersonal skills, personal responsibility and the desire to achieve a
common goal. Sometimes it was possible to observe a situation when more efficient
students did most of the work, while the others just waited for the result. Therefore,
we developed our own assessment strategy which takes into account both the
contribution of each member of the group and the collective results.</p>
      <p>Working in groups gives students a number of advantages. They do not get easily
distracted and are more likely to stay focused on the given task longer than those who
study individually. Students adopt a more positive attitude towards the topics they
study working together rather than in individual or competitive learning
environments. They are more eager to revise, broaden and increase the knowledge they have
acquired. Likewise, students develop a positive attitude towards the subject and the
entire educational process.</p>
      <p>
        As a result of our project, the students created E-portfolios, which can serve an
instrument for measuring the quality of the learning process [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ].
      </p>
      <p>Listed below are the basic principles underlying the strategy we designed to ensure
the efficient group work:
─ students are oriented towards a common goal which serves as an additional source
of motivation;
─ all members of the group are taught to take responsibility for the achievements of
their group mates and the whole group;
─ when one succeeds, all are winners; when one fails, all are losers;
─ the need for mutual help and support;
─ developing mutual feelings of trust and care;
─ cultivating the atmosphere of friendly and supportive relationships.
As a result of positive interdependence, team members develop skills necessary for
efficient cooperation. Every member of the group is expected to use these skills while
working together. The focus on academic tasks, techniques to solve them and ways of
cooperation favours the acquisition of skills necessary for interaction in the
classroom. As part of the project, the group regularly review their performance outcomes,
thus ensuring continuous progress, improving the quality of their work, contributing
to the development of their cooperative skills and successful achievement of the
learning goals. Effective cooperation of all group members grows into fully-fledged
collaboration. All participants relate to each other and work side by side on a joint
project. There is sufficient experimental evidence that such groups can cope with the
tasks that individual members fail to complete. To ensure the effective work of
groups, the following pedagogical approaches and techniques were used:
─ partnership of group members;
─ development of group work skills;
─ heterogeneous grouping;
─ combined use of individual and peer assessment;
─ teacher’s monitoring of the students’ work;
─ focus on the task and group work skills;
─ chance for every member to be a leader;
─ essential feedback.</p>
      <p>Working on the project, students were asked to divide the responsibilities by taking
on specific roles (table 1). By taking a certain role each student is supposed to
demonstrate the behavior others can expect from him/her and a certain reaction towards
other members’ behavior.
generates new ideas and strategies individualist, scientifically-minded;
highlighting the core issues; strives to smart and imaginative, knowledgeable
bring innovation; and gifted
adopts a pragmatic approach to ana- tolerant, reserved, cautious, reasonable;
lyze problems, weighs the ideas for the common sense, rationality,
determinagroup members to make a decision; tion;
brings plans and concepts into action; realist, experienced and well-versed in
makes an objective judgment of feasi- practical matters; self-disciplined,
orgability of a decision; nized; systemic in approach to business;
spots and communicates new ideas and conservative with a strong sense of
duupdates available outside the group, ty, great communication skills, sensible,
establishing external contacts; self-disciplined, inquisitive, sociable;
Supervisor encourages the team members to per- capable of completing tasks, scrupulous
sist and maintain the purpose, takes and demanding; diligent and accurate in
effort to eliminate mistakes carrying out tasks;
Team coordinates the work of group mem- kind, sensitive, ready to meet the needs
worker bers; offers help in difficulties, keeps of the group members, creates friendly
up the team spirit atmosphere</p>
      <p>Although in many cases the above mentioned roles are conventional, they help
teachers and group members to focus on the subject matter and social elements of
their work:
─ elements related to the subject matter of the task. They are necessary for the
effective division of work among team members (for example, the idea man puts
forward new ideas and strategies, the implementer weighs pros and cons of the
solution, the supervisor strives to eliminate the mistakes);
─ social elements help team members to build effective working relationships (the
promoter manages cooperation of group members, the chairperson guides the way
for the group to achieve success, a team worker coordinates the work and keeps up
the morale of the group members).</p>
      <p>
        Our research was performed at the Joint Laboratory of the Institute of Information
Technologies and Learning Tools of the National Academy of Educational Sciences
of Ukraine, and Ternopil Volodymyr Hnatiuk National Pedagogical University [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ].
A systematic use of external academic clouds is significant to form professional skills
in a future IT specialist [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ]. The public and private platforms are integrated in the
academic cloud of Ternopil V. Hnatyuk National Pedagogical University. We have
constructed the diagram of the model of using cloud technologies (Fig 1.)
      </p>
      <sec id="sec-2-1">
        <title>Purpose component</title>
        <p>Principles: systematic
learning, openness, group
work, research activities,
reflection and feedback
assessments.</p>
        <p>Roles: organization,
motivation, research, activity,
communication, modelling.</p>
      </sec>
      <sec id="sec-2-2">
        <title>Content component</title>
        <p>ICT-competencies in Operating System, Computer Hardware
Use of Public Clouds (Microsoft Office 365, G Suite)
Use of Academic Clouds (Apache CloudStack)</p>
      </sec>
      <sec id="sec-2-3">
        <title>Activity component</title>
        <p>Stages: prepare, problems statement,
group and individual research,
presentation, analyze
Forms: training,
ICT-practice, class
group work, distance
individual work
Criteria:
motivational,
practical,
productive</p>
      </sec>
      <sec id="sec-2-4">
        <title>Effective component</title>
        <p>Indicators: stable motivation for
cognition;
raising the level of ICT
competencies;
group work skills in the clouds</p>
        <p>Levels: high (A),
medium (B, C),
low (D, E)
─ discuss study-related questions in open and private groups;
─ plan and coordinate their group work;
─ create and edit educational materials of E-portfolios (diagrams, reports, brochures,
leaflets, infographics);
─ access files;
─ post and share videos demonstrating problem-solving procedures;
─ give feedback.</p>
        <p>To verify the efficiency of our methodology, we conducted an experiment involving 5
basic groups (BG) of 20 students and 5 experimental groups (EG) of 20 students. All
the groups were of mixed type, i.e. with students from different departments (ICT,
Mathematics, Physics). All the participants had the same task to carry out, namely, to
repair computer operational system (real or virtual). Students from experimental
groups used the virtual machines from the academic cloud based on CloudStack
platform. Students from basic groups used real computers. The validity of the experiment
was ensured by meeting the following requirements:
─ random grouping;
─ classes in basic and experimental groups were delivered by the same teacher;
─ standard system of assessment (A (90-100 points), B (85-89 points), C (75-84
points), D (65-74 points), E (60-64 points), F (less than 60 points)).</p>
        <p>Working with real or virtual computers, students from basic and experimental groups
tried to recover their operating system. They performed the following operations:
─ recovery of deleted data;
─ migration of operating systems to another hardware;
─ performance optimization of VMs and real computers;
─ recovery of operating systems after BDOS;
─ virus removal.</p>
        <p>Taking into consideration the tasks of the project, we had the following requirements
to the teaching of the experimental groups:
─ the study of information systems on the basis of their educational models – virtual
computers;
─ virtual objects matching real information systems;
─ teachers and students can change the object of study to suit their personal needs;
─ unlimited access to cloud services via LAN of the educational institution and the</p>
        <p>Internet;
─ personalized access to computational resources, preferably using single sign-on
authentication.</p>
        <p>Before the start of the project we got ready 20 virtual and 20 real computers for each
student of the above-mentioned groups. It is commonly known that CloudStack
platform provides possibilities to reinstall VMs and take their snapshots. So in case
students from the experimental groups failed to complete the task, it was possible to start
from the very beginning. User authentication was carried out in LDAP directory of
Microsoft Active Directory. It allows users to use single sign-on authentication in
order to access local and cloud services. Unlimited access was secured by VPN-server
which also carried out authentication via LDAP. To divide participants into
experimental groups a few Apache CloudStack domains and projects were used. Group
leaders were assigned the role of administrators in charge of all the VMs.</p>
        <p>Deployed cloud infrastructure contains such elements: 1 zone, 1 pod, 1 cluster, 3
hosts, 3 primary and 1 secondary storages. In our academic cloud, Apache
CloudStack provides: running a large number of instances of VMs; connection of VMs
through physical and virtual networks; access to VMs through web-interface and
standard protocols; distribution of computing resources for VMs; creation of template
and snapshot of VMs; integrated authentication based on LDAP-directory.</p>
        <p>
          At the first stage of the experiment we analyzed the final marks received by the
students of the both groups in the course "Operating systems". The marks were given
on a 100-point scale. To compare the marks, we used nonparametric Mann–Whitney
U test for 2 independent samples [
          <xref ref-type="bibr" rid="ref4">4</xref>
          ]. Two hypotheses were made:
─ Н0 – the differences between marks in BG and EG are random.
─ Н1 – the differences between marks in BG and EG are regular.
        </p>
        <p>Marks of both groups were combined in order of increasing. Every mark was assigned
a rank. For the same marks an average value of the sum of their ranks was assigned.
For both groups we calculated the rank sums (R1 for BG and R2 for EG). As a result,
we got the following table:
where n1 – student numbers in BG, n2 – student numbers in EG, Rx – maximum of
R1 and R2. Calculated value of Uexp=189, which is more than critical 138 (for
α=0.05). Uexp&gt;Ucr. So the null hypothesis H0 that the mark distributions of both
groups are equal proved to be true.</p>
        <p>Student academic performance was assessed according to such levels of
achievement: A (90-100 points), B (85-89 points), C (75-84 points), D (65-74 points), E
(6064 points), F (less than 60 points). The diagram below features the results of the
assessment of student performance.
EG-1
EG-2
A</p>
        <p>B</p>
        <p>C D
Levels of achievement</p>
        <p>E
At the second stage students solved practical tasks. They produced their results as
group and individual portfolios. We rated works of the students on the same 100-point
scale. After that we compared the grades received by students in EG (EG-1 and EG-2)
at the first and second stages (fig. 3).</p>
        <p>A</p>
        <p>B</p>
        <p>C D
Levels of achievement</p>
        <p>
          E
To verify regularity of the differences in grades at first and second stages we used the
nonparametric Wilcoxon rank sum test for 2 related samples [
          <xref ref-type="bibr" rid="ref4">4</xref>
          ]. Two hypotheses
were made:
─ Н0 – students' marks at the 2nd stage exceed their marks at the 1st stage;
─ Н1 – students' marks at the 2nd stage do not exceed their marks at the 1st stage.
For each student we calculated the shift of their marks at the first and second stages
(table 3).
In our research all Npi=0. Calculated value of Wexp=210, which is more than critical
60 (for α=0.05). Wexp&gt;Wcr.. So the null hypothesis H0 proved to be true. Hence, the
results of the experiment testify to the efficiency of the developed learning strategy.
The higher level of the second group is the result of the students’ work in the
academic cloud based on our methodology.
3
        </p>
      </sec>
    </sec>
    <sec id="sec-3">
      <title>Conclusions</title>
      <p>The conducted research allowed us to make the following conclusions:
1. Traditional system of education too often puts students into the competition
conditions, rarely preparing future professionals for work in a team in the environment
of positive interdependence.
2. There are objective conditions for using group methodology in training future
computer science teachers.
3. The current level of cloud technology development makes the group project
training technology open and easily accessible.
4. The applying of the suggested methodology can be an effective tool in solving
several problems, organizational, technological, psychological and social.
Our research has experimentally proved the efficiency of the project method in
training future computer science teachers. The proposed training technology raises
students’ cognitive interest, allows them to develop essential professional skills, ability
to work in a team and sense of responsibility for their joint effort.</p>
    </sec>
  </body>
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