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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Implementation of future agricultural engineers' training technology in the informational and educational environment</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Aleksandr D. Uchitel</string-name>
          <email>o.d.uchitel@i.ua</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Ilona V. Batsurovska</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Nataliia A. Dotsenko</string-name>
          <email>dotsenkona@outlook.com</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Olena A. Gorbenko</string-name>
          <email>gorbenko_ea@mnau.edu.ua</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Nataliia I. Kim</string-name>
          <email>kim_ni@mnau.edu.ua</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Mykolayiv National Agrarian University</institution>
          ,
          <addr-line>9 Georgya Gongadze Str., Mykolayiv, 54020</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>State University of Economics and Technology</institution>
          ,
          <addr-line>5 Stepana Tilhy Str., Kryvyi Rih, 50006</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
      </contrib-group>
      <fpage>233</fpage>
      <lpage>246</lpage>
      <abstract>
        <p>The article presents the implementation of future agricultural engineers' training technology in the informational and educational environment. To train future agricultural engineers, it is advisable to form tutorials for the study of each discipline in the conditions of informational and educational environment. Such tutorials are an assistance in mastering both theoretical material and course navigation, where interactive electronic learning tools are presented to perform tasks in the informational and educational environment. Higher education applicants perform such tasks directly in the classroom with the help of gadgets or personal computers. The final grade is formed from the scores obtained in the classroom and the rating of higher education applicants while studying in the informational and educational environment. The outlined approach is able to help in the quality of learning content. The use of interactive audiovisual online tools allows to get acquainted with the theoretical, practical and experimental provisions clearly, it is important for the training of future agricultural engineers. At the end of the experiment, it can be argued that the developed technology increases the level of motivation and self-incentive to work in the informational and educational environment. The application of the presented technology provides an opportunity to combine the educational process in the classroom with learning in the informational and educational environment, forms analytical abilities and competencies in professional activity. The reliability of the obtained results was checked using the  Kolmogorov-Smirnov criterion. It is determined that when using this technology in the educational process, the indicators in the experimental group increased, which displays the efectiveness of training bachelors in agricultural engineering in the conditions of informational and educational environment.</p>
      </abstract>
      <kwd-group>
        <kwd>eol&gt;agricultural engineers' training technology</kwd>
        <kwd>informational and educational environment</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>
        While training of agricultural engineers there is a need for new approaches that are associated
with interdisciplinary training and the use of modern technologies [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ]. This level of training of
future agricultural engineers is provided in the informational and educational environment [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ].
As learning practices and technological tools change, such learning continues to evolve [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]. In
2018, the emphasis will be on various aspects, starting with how higher education applicants
gain access to content, as defined by the idea of a “curriculum” [ 4, 5]. Online technologies,
engineering programs and Internet access facilitate the transition to learning in an informational
and educational environment, but immersion in the learning environment goes beyond learning
tools [6, 7]. Studying in the conditions of informational and educational environment maintains
constant access to the educational process. With the advent of learning in the informational and
educational environment, educational systems are changing. Higher education applicants have
the opportunity to prepare homework by watching the video that tutor posted online [8]. An
option with a greater degree of interaction is possible when using mobile devices during classes
[9, 10, 11, 12]. For example, a tutor asks questions and higher education applicants will answer
them using mobile devices. It is possible to get direct feedback while studying at home and
to interact with higher education applicants during lectures. Organizations around the world
recognize that there is a large amount of supporting content that is often available, but it is
ignored [13]. Successful use of this content requires a curator who uses specialized knowledge
to combine relevant learning tools and pathways for higher education applicants [14]. The
use of audiovisual materials increases exponentially during training. Interactive video-based
learning ofers a much higher level of involvement and learning experience. Mobile applications
are useful for creating educational content, as they are optimized for mobile devices. The use of
gamification for learning is convenient with the expansion of educational content viewing via
mobile devices [15, 16, 17]. Informational and educational environment is a system of available
to the user sources of information, methods and means of its appropriation, as well as the
conditions of information interaction of the subject with these sources [18]. And studying in an
informational and educational environment requires the use of interactive audiovisual online
tools such as video lectures, online workshops, educational computer interactive simulators
[19, 20, 21, 22], it increases the clarity, efectiveness and feedback during the training of higher
education applicants.
      </p>
      <p>Given the above, the aim of the paper is to present an implementation of future agricultural
engineers’ training technology in the informational and educational environment.
2. Training technology of future agricultural engineers in an
informational and educational environment
The learning environment is dynamic and pedagogical activities cannot be reduced to a limited
set of mechanically combined procedures [23]. The set of methods used in the research process
is represented by: empirical methods – survey, questionnaire, self-assessment, testing, direct and
indirect observation of the learning process, pedagogical experiment [24], statistical methods –
quantitative processing of indicators and verification of the reliability of the obtained empirical
results using the Fisher criterion [25], Kolmogorov-Smirnov criterion [26]. The empirical
methods contribute a dynamic tool for developing practice and provide accumulation, fixation,
classification and synthesis of feedstock for any particular educational system development
[27, 28].</p>
      <p>It is presented the training technology of future agricultural engineers in an informational and
educational environment (figure 1). Training of bachelors in agricultural engineering provides
not only classical forms of studying in the classroom, but also is supplemented by preparation for
lectures, practical classes, laboratory works, seminars, support of higher education applicants
by independent work and practice. When studying the cycle of disciplines of the initial level (1-2
years of study) preparation for lectures is accompanied by interactive content of informational
and educational environment such as audiovisual lectures, webinars and online glossary [29].
Preparation for practical classes in the informational and educational environment involves
working with online glossaries, watching videos, solving engineering problems in workshops,
working with presentations. Preparing bachelors in agricultural engineering for laboratory
classes may include video instructions on execution, calculation parts, working with a glossary,
and viewing presentations. Preparation for seminars in the informational and educational
environment can include work with online glossary and video instructions. Independent work
includes webinars and interactive content of informational and educational environment. Online
support should be provided through chats and thematic forums.</p>
      <p>When studying the cycle of bachelor’s degree disciplines (3-4 years) in the informational and
educational environment, preparation for lectures is carried out with the help of interactive
multimedia lectures. Preparation for practical classes in the informational and educational
environment includes round tables in thematic forums, online practical classes, interactive
tasks, educational computer interactive simulators. It is expedient to apply interactive tasks,
educational computer interactive simulators to laboratory classes in the process of preparation of
bachelors in agricultural engineering. The preparation of higher education applicants in specialty
“Agricultural Engineering” for seminars may include presentations, interactive tasks, video
conferences and thematic chat conferences [30]. Independent work in the informational and
educational environment is based on interactive multimedia lectures, practical tasks, educational
computer interactive simulators and research projects. The internship is provided by video
conference, thematic chat conferences, online support [31]. It is necessary to monitor the results
of bachelors in agricultural engineering and to study the acquisition degree of professional
competencies [32].</p>
      <p>According to the proposed technology was developed a number of tutorials on disciplines for
the training of future agricultural engineers in the informational and educational environment
(disciplines “Mechanics of Materials and Constructions”, “Theory of Mechanisms and Machines”,
“Engineering and Computer Graphics”), the work of which was tested with higher education
applicants in “Agricultural Engineering”.</p>
      <p>The essence of tutorials for training higher education applicants in the informational and
educational environment is that they can work both independently at home and in the classroom.
Theoretical material, prototypes of practical works and questions for tests and exams are
presented for work in the classroom. In the informational and educational environment, a wide
range of tools is presented, namely: multimedia presentations for practical work, interactive
laboratory work, audiovisual lectures, educational computer interactive simulators, online
Training technology of bachelors in agricultural engineering in the conditions of</p>
      <p>informational and educational environment
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      <p>Lectures, audiovisual
lectures, webinars,</p>
      <p>online glossary</p>
      <sec id="sec-1-1">
        <title>Online glossary, video, instructions</title>
      </sec>
      <sec id="sec-1-2">
        <title>Video instructions for calculation parts, online glossary, online laboratory works</title>
      </sec>
      <sec id="sec-1-3">
        <title>Lectures, audiovisual lectures, online seminars</title>
      </sec>
      <sec id="sec-1-4">
        <title>Webinars, interactive content</title>
      </sec>
      <sec id="sec-1-5">
        <title>Online support through chats and thematic forums</title>
        <p>Informational and
educational
environment</p>
      </sec>
      <sec id="sec-1-6">
        <title>Preparation for lectures</title>
      </sec>
      <sec id="sec-1-7">
        <title>Preparation for practical classes</title>
      </sec>
      <sec id="sec-1-8">
        <title>Preparation for laboratory classes</title>
      </sec>
      <sec id="sec-1-9">
        <title>Preparation for seminars</title>
      </sec>
      <sec id="sec-1-10">
        <title>Independent work</title>
      </sec>
      <sec id="sec-1-11">
        <title>Practice</title>
      </sec>
      <sec id="sec-1-12">
        <title>Interactive multimedia lectures</title>
      </sec>
      <sec id="sec-1-13">
        <title>Round tables in the thematic forums, online practical classes, interactive tasks, educational computer interactive simulators</title>
      </sec>
      <sec id="sec-1-14">
        <title>Interactive tasks, educational computer interactive simulators</title>
      </sec>
      <sec id="sec-1-15">
        <title>Presentations, interactive tasks, video conferences, thematic chat conferences</title>
      </sec>
      <sec id="sec-1-16">
        <title>Interactive multimedia lectures, practical tasks, educational computer interactive simulators, research projects</title>
      </sec>
      <sec id="sec-1-17">
        <title>Video conferences, thematic chat conferences, online support during practice</title>
        <p>Informational and
educational
environment
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Monitoring the results of bachelors in agricultural engineering in the informational and educational</p>
        <p>environment and research of the degree of acquisition of professional competencies
glossaries, forums, webinar recordings, etc.</p>
        <p>When attending classes, higher education applicants receive points for attendance, as well as
for working in the informational and educational environment. Higher education applicants
are acquainted in advance with the theoretical material. Then in the classroom, they begin the
practical implementation of tasks that are presented in the tutorial using QR-codes [33, 34, 35].
Higher education applicants, with the help of applications for reading QR-codes enter the
appropriate section of the course and begin to perform tasks using a PC or mobile phone,
using presented interactive audiovisual online tools, such as: multimedia presentations for
practical work, interactive laboratory work, lectures with audiovisual support, educational
computer interactive simulators, etc. Audiovisual lectures include the use of images, video
clips, which improves the quality of perception of educational information, and provide control
of knowledge at the end of each informational block. Interactive multimedia lectures allow
the use of dynamic interactive elements and may have links to external hypertext pages from
the Internet, which improving the professional competence of higher education applicants
[36]. Online practical classes in the informational and educational environment play a leading
role in the formation of skills and application of acquired knowledge. Video instructions for
practical tasks contain explanations on the use of special engineering programs required for the
calculation and design of technical facilities, which is important for agricultural engineering
education. Conducting video conferences and thematic chat conferences with further discussion
of problematic issues increases the level of assimilation of the results obtained by bachelors
in the field of agriculture during the internship. Educational computer interactive simulators
have a wide range of applications, can be used to demonstrate a process or mechanism, and can
be complex simulators of technological processes and equipment. The educational computer
interactive simulator in the informational and educational environment can be considered
as a training complex, a system of modelling, a set of computer and physical models based
on the performance of a specific educational task. The higher education applicant performs
certain operations and receives a response from the computer system of the informational
and educational environment for self-analysis. Educational computer interactive simulators
in the training of bachelors in agricultural engineering can be divided into three groups: test,
graphic and gamified. The test training simulators are based on engineering test tasks that
help to master the rules, methods, laws, theorems and other content in the field of agricultural
engineering. Graphic training simulators include such training tasks, which are based on
work with engineering and graphic images and the execution of drawings of parts in an
informational and educational environment. Gamified training simulators basically have a game
task, performing which develops professional agricultural engineering competencies. These
include acquaintance with the parts and devices that are the basis of agricultural engineering, the
principles of training in the operation of complex agricultural machinery; skills of installation,
assembly of systems, and also at search of malfunctions and repair of agricultural machinery.</p>
        <p>For each participant of the course it is possible to trace statistical data, on their basis the
applicant of higher education receives semester points: monitoring of points for the executed
tasks in the informational and educational environment, answers in the conditions of thematic
forums and chat- conferences, points for mastering theoretical content, practical tasks,
educational computer interactive simulators. After completing the task with the help of device, the
informational and educational environment forms an assessment for higher education applicants
and statistical indicators of the task for the tutor. Thus, for higher education applicants a rating
is formed during training in the informational and educational environment, which afects the
ifnal assessment. The tutor controls the time of certain tasks and limits the number of attempts
[37].</p>
        <p>In the informational and educational environment, higher education applicants have the
opportunity to acquire competencies that are attached to the tasks. As a result of taking the
course, the applicant of higher education acquires the indicator of competencies acquisition, as
a result of taking the course according to the curriculum during the term, acquires the indicator
of competencies according to the curriculum template. On the basis of the received points and
the acquired competences, on each applicant of higher education it is possible to form a rating
in the conditions of the informational and educational environment.</p>
      </sec>
    </sec>
    <sec id="sec-2">
      <title>3. Results</title>
      <p>The main purpose of the experiment was to test the future agricultural engineers’ training
technology in the informational and educational environment. The experimental procedure
included the following steps:
• selection of control and experimental groups (homogeneous);
• development of methodological tools for assessing the criteria and indicators of the current
level of knowledge, skills, abilities of bachelors in agricultural engineering, reflecting the
readiness level of the higher education applicants for professional activity;
• determination and ascertainment of the bachelors’ readiness formation level for
professional activity in the conditions of informational and educational environment;
• introduction of future agricultural engineers’ professional training technology in the
conditions of informational and educational environment;
• comparison of indicators of bachelors’ readiness level for professional activity after the
introduction of author’s developments;
• generalization and conclusion about the eficiency of the proposed author’s developments,
which are characterized by the relationship of dependent and independent variables
(methods and results in fixed conditions, etc.).</p>
      <p>The purpose and objectives of the study determined the objectives of the pedagogical
experiment and to justify the eficiency of the developed technology of training bachelors in
agricultural engineering to professional activity in the informational and educational
environment through practical implementation.</p>
      <p>The control group used traditional tools to perform the tasks, and the experimental ones
used interactive audiovisual online tools of the informational and educational environment.
The obtained data were redistributed into two equal groups according to the corresponding
number of initial score. To verify the homogeneity of the distribution into control and
experimental groups, we used * – Fisher’s criterion. According to Fisher’s criterion the groups are
distributed uniformly. Numerical indicators for determining the bachelors’ readiness levels for
professional activity in the informational and educational environment was checked by testing,
questionnaires, comprehensive tests, educational results.</p>
      <p>The results of the bachelors’ readiness levels for professional activity in the informational
and educational environment in the experimental and control groups at the beginning of the
experiment of the  Kolmogorov-Smirnov criterion are presented in</p>
      <p>Table 1 examining the levels of readiness for professional activity of bachelors in agricultural
engineering in the informational and educational environment at the beginning of the
experiment, it should be noted that the percentages between the experimental and control groups
difered only in hundredths.</p>
      <p>We will form statistical hypotheses to test the level of readiness of bachelors in agricultural
engineering for professional activity in the informational and educational environment.</p>
      <p>0: the number of bachelors in agricultural engineering, in which the level of readiness for
professional activity in the informational and educational environment in the experimental
group is not higher than in the control.</p>
      <p>1: the number of bachelors in agricultural engineering, in which the level of readiness for
professional activity in the informational and educational environment in the experimental
group is higher than in the control one.</p>
      <p>We will check the reliability of the obtained results with the help of the Kolmogorov-Smirnov
criterion  with the help of the calculation table [38, 39] (table 1).</p>
      <p>Determine  = 0.01 and the level at which this value falls, and calculate the value of 
by the formula:
  = √︃  ·  = 0.168298687,   =
 +</p>
      <p>Thus,   &lt;  , 1 – deviates, hypothesis 0 is preserved. The number of
bachelors in agricultural engineering, in which the readiness level for professional activity
in the informational and educational environment to the formative stage in the experimental
group is not higher than in the control one.</p>
      <p>The results of the readiness levels for professional activity of bachelors in agricultural
engineering in the informational and educational environment in the experimental and control
groups at the end of the experiment are presented in table (table 2). At a high level, the
percentage in the experimental groups exceeds by 12% the control. In the experimental group at a
suficient level the percentage is higher than in the control one by almost 30%. At the average
level in the control group the indicator is higher than in the experimental group by 18%. At the
initial level in the experimental group, the figure does not exceed 10%, which is 21% less than in
the control one.</p>
      <p>We will form statistical hypotheses to test the level of readiness of bachelors in agricultural
engineering for professional activity in the informational and educational environment.</p>
      <p>0: the number of bachelors in agricultural engineering, in which the level of readiness for
professional activity in the informational and educational environment to the formative stage
in the experimental group is not higher than in the control one.</p>
      <p>1: the number of bachelors in agricultural engineering, in which the level of readiness for
professional activity in the informational and educational environment to the formative stage
in the experimental group is higher than in the control.</p>
      <p>We will check the reliability of the obtained results with the help of the Kolmogorov-Smirnov
criterion  with the help of the calculation table (table 2).</p>
      <p>Determine  = 0.29 and the level at which this value falls, and calculate the value of 
by the formula:
  = √︃  ·  = 4.880661923,   =
 +</p>
      <p>Thus,   &gt;  , 0 – deviates, hypothesis 1 is preserved. The number of
bachelors in agricultural engineering, in which the level of readiness for professional activity
in the informational and educational environment to the formative stage in the experimental
group is higher than in the control.</p>
      <p>It is presented in the form of bar histograms a comparison of bachelors’ readiness levels for
professional activity in agricultural engineering in the informational and educational
environment in the experimental and control groups at the beginning (figure 2) and at the end (figure 3)
of the experiment.
80.00%
70.00%
60.00%
50.00%
40.00%
30.00%
20.00%
10.00%
0.00%
75.31%75.19%
19.32%19.72%
FiguFreigu2r:eC2o. mCpomarpisaorinsoonfotfhtehereraedadinineessss lleevveellss ffoorr pprrooffeessssioionnalalacatcivtiitvyitoyf obfabchaeclhoresloirns aignriacuglrtiucrualltural
engineenegriinnegeriinngthinetihnefionrfmoramtaiotinoanlalaannddeedduuccaattiioonnaallenevnivriornomnmenet nint tihnetehxepeerxipmeernitmaleanntdalcoanntdroclognroturoplsgartoups
at thethbeebgeigninnnininggooff tthhee eexxppeerrimimeentn.t</p>
      <p>The percentage of bachelors in agricultural engineering (EG)
At a high level at the end of the experiment we have an increase of almost 20%, while in</p>
      <p>The percentage of bachelors in agricultural engineering (CG)
the control groups it is 7%. At a suficient level at the end of the experiment, a rate of 5% was
recorded50i.0n0 %the experimental groups,45w.4h0%ich makes it possible to claim an increase of more than
40%, wh4i5l.e00i%n the control groups the increase is 12%. At the42a.9v8%erage level in the experimental
groups, 4t0h.0e0%increase is 5%, in the control it is more than 20%. At the initial level, at the end of
the expe35r.i0m0%ent in the experimental groups, the indicators decreased by alm3o1s.9t0%65%, while in
the cont3r0o.0l0%groups only by 45%.</p>
      <p>24.09%
25.00%
level to professional activity in the conditions of informational and educational environment,
introduction of technology, comparison of formation levels after introduction of author’s
developments. Through practical implementation it is necessary to substantiate the eficiency
of the developed technology. The reliability of the obtained results was checked using the 
Kolmogorov-Smirnov criterion.</p>
      <p>Upon completion of the formative experiment, it can be argued that the future agricultural
engineers’ training technology in the informational and educational environment is efective.
The developed technology of bachelors in agricultural engineering preparation increases the
level of motivation and self-incentive to work in the informational and educational environment.
The outlined technology provides an opportunity to combine the educational process in the
audience of the bachelor in agricultural engineering with learning in the informational and
educational environment, forms analytical skills and professional competencies.
[4] H. Kravtsov, V. Kobets, Implementation of stakeholders’ requirements and innovations for
ICT curriculum through relevant competences, volume 1844, CEUR-WS, 2017, pp. 414–427.
13th International Conference on ICT in Education, Research and Industrial Applications.
Integration, Harmonization and Knowledge Transfer, ICTERI 2017 ; Conference Date: 15
May 2017 Through 18 May 2017.
[5] H. Kravtsov, V. Kobets, Model of the curriculum revision system in computer science,
volume 2104, CEUR-WS, 2018, pp. 488–500. 14th International Conference on ICT in
Education, Research and Industrial Applications. Integration, Harmonization and Knowledge
Transfer. Volume II: Workshops, ICTERI 2018 ; Conference Date: 14 May 2018 Through 17
May 2018.
[6] C. McAvinia (Ed.), Online Learning and its Users, Chandos Publishing, 2016.
[7] O. G. Romanovskyi, O. V. Kvasnyk, V. M. Moroz, N. V. Pidbutska, S. M. Reznik, A. I.</p>
      <p>Cherkashin, V. V. Shapolova, Development factors and directions for improving distance
learning in the higher education system of ukraine, Information Technologies and Learning
Tools 74 (2019) 20–42. URL: https://journal.iitta.gov.ua/index.php/itlt/article/view/3185.
doi:10.33407/itlt.v74i6.3185.
[8] C. Pappas, 7 best practices for developing personalized eLearning courses, 2016. URL: https:
//elearningindustry.com/best-practices-developing-personalized-elearning-courses.
[9] A. Pandey, 10 mobile learning trends for 2018, 2018. URL: https://www.eidesign.net/
10-mobile-learning-trends-2018.
[10] S. O. Semerikov, K. I. Slovak, Theory and method using mobile mathematical media in the
process of mathematical education higher mathematics students of economic specialties,
Information Technologies and Learning Tools 21 (2011). URL: https://journal.iitta.gov.ua/
index.php/itlt/article/view/413. doi:10.33407/itlt.v21i1.413.
[11] M. A. Kyslova, S. O. Semerikov, K. I. Slovak, Development of mobile learning environment
as a problem of the theory and methods of use of information and communication
technologies in education, Information Technologies and Learning Tools 42 (2014) 1–19. URL:
https://journal.iitta.gov.ua/index.php/itlt/article/view/1104. doi:10.33407/itlt.v42i4.
1104.
[12] Y. Modlo, S. Semerikov, P. Nechypurenko, S. Bondarevskyi, O. Bondarevska, S. Tolmachev,
The use of mobile Internet devices in the formation of ICT component of bachelors in
electromechanics competency in modeling of technical objects, volume 2433, CEUR-WS,
2019, pp. 413–428. URL: http://ceur-ws.org/Vol-2433/paper28.pdf, 6th Workshop on Cloud
Technologies in Education, CTE 2018 ; Conference Date: 21 December 2018.
[13] K. Lee, Rethinking the accessibility of online higher education: A historical review,
The Internet and Higher Education 33 (2017) 15–23. doi:https://doi.org/10.1016/
j.iheduc.2017.01.001.
[14] A. Sandoval, C. Gonzalez, R. Alarcon, K. Pichara, M. Montenegro, Centralized student
performance prediction in large courses based on low-cost variables in an institutional
context, The Internet and Higher Education 37 (2018) 76–89. doi:https://doi.org/10.
1016/j.iheduc.2018.02.002.
[15] R. Benson, C. Brack, Online Learning and Assessment in Higher education applicants: A</p>
      <p>Planning Guide, 1st ed., Chandos Publishing, 2010.
[16] V. Buzko, A. Bonk, V. Tron, Implementation of gamification and elements of augmented
reality during the binary lessons in a secondary school, volume 2257, CEUR-WS, 2018,
pp. 53–60. 1st International Workshop on Augmented Reality in Education, AREdu 2018 ;
Conference Date: 2 October 2018.
[17] S. Symonenko, N. Zaitseva, V. Osadchyi, K. Osadcha, E. Shmeltser, Virtual reality in foreign
language training at higher educational institutions, volume 2547, CEUR-WS, 2020, pp.
37–49. 2nd International Workshop on Augmented Reality in Education, AREdu 2019 ;
Conference Date: 22 March 2019.
[18] N. T. Tverezovska, D. Y. Kasatkin, Informational and educational learning environment:
the history, classification and functions, Naukovi zapysky Ternopilskoho natsionalnoho
pedahohichnoho universytetu imeni Volodymyra Hnatiuka. Seriia: Pedahohika (2011)
190–196. URL: http://dspace.tnpu.edu.ua/handle/123456789/407.
[19] T. Vakaliuk, V. Kontsedailo, D. Antoniuk, O. Korotun, S. Semerikov, I. Mintii, Using Game
Dev Tycoon to develop professional soft competencies for future engineers-programmers,
volume 2732, CEUR-WS, 2020, pp. 808–822. URL: http://ceur-ws.org/Vol-2732/20200808.pdf,
16th International Conference on ICT in Education, Research and Industrial Applications.
Integration, Harmonization and Knowledge Transfer. Volume II: Workshops, ICTERI 2020
; Conference Date: 6 October 2020 Through 10 October 2020.
[20] P. Nechypurenko, T. Starova, T. Selivanova, A. Tomilina, A. Uchitel, Use of augmented
reality in chemistry education, volume 2257, CEUR-WS, 2018, pp. 15–23. 1st International
Workshop on Augmented Reality in Education, AREdu 2018 ; Conference Date: 2 October
2018.
[21] A. Kompaniets, H. Chemerys, I. Krasheninnik, Using 3D modelling in design training
simulator with augmented reality, volume 2546, CEUR-WS, 2019, pp. 213–223. 2nd
Student Workshop on Computer Science and Software Engineering, CS and SE@SW 2019 ;
Conference Date: 29 November 2019.
[22] A. Kiv, O. Merzlykin, Y. Modlo, P. Nechypurenko, I. Topolova, The overview of software
for computer simulations in profile physics learning, volume 2433, CEUR-WS, 2019, pp.
352–362. 6th Workshop on Cloud Technologies in Education, CTE 2018 ; Conference Date:
21 December 2018.
[23] A. Nicolopoulou, M. Cole, Design experimentation as a theoretical and empirical tool for
developmental pedagogical research, Pedagogies: An International Journal 5 (2009) 61–71.</p>
      <p>URL: https://doi.org/10.1080/15544800903406316. doi:10.1080/15544800903406316.
[24] G. D. Phye, D. H. Robinson, J. R. Levin (Eds.), Educational Psychology, Academic
Press, Burlington, 2005. doi:https://doi.org/10.1016/B978-0-12-554257-9.</p>
      <p>X5000-1.
[25] S. Li, A. Jain (Eds.), Fisher Criterion, Springer US, Boston, MA, 2009, pp. 549–549. URL: https:
//doi.org/10.1007/978-0-387-73003-5_585. doi:10.1007/978-0-387-73003-5_585.
[26] R. Simard, P. L’Ecuyer, Computing the two-sided kolmogorov-smirnov distribution, Journal
of Statistical Software, Articles 39 (2011) 1–18. URL: https://www.jstatsoft.org/v039/i11.
doi:10.18637/jss.v039.i11.
[27] M. Nind, S. Lewthwaite, A conceptual-empirical typology of social science research
methods pedagogy, Research Papers in Education 35 (2020) 467–487. URL: https://doi.org/
10.1080/02671522.2019.1601756. doi:10.1080/02671522.2019.1601756.
[28] Y. V. Ponomarenko, R. I. Kenzhebekova, A. A. Yessaliyev, K. Moldabek, L. A. Larchenkova,
S. S. Dairbekov, G. Jumagulova, Pedagogical research methods of training in higher
educational establishments: A comparative analysis, International Electronic Journal of
Mathematics Education 11 (2016) 3221–3232. URL: https://tinyurl.com/2s5sbu4d.
[29] C. Crook, L. Schofield, The video lecture, The Internet and Higher Education 34 (2017)
56–64. doi:https://doi.org/10.1016/j.iheduc.2017.05.003.
[30] I. Galikyan, W. Admiraal, Students’ engagement in asynchronous online discussion: The
relationship between cognitive presence, learner prominence, and academic performance,
The Internet and Higher Education 43 (2019) 100692. doi:https://doi.org/10.1016/
j.iheduc.2019.100692.
[31] D. Babenko, I. Batsurovska, N. Dotsenko, O. Gorbenko, I. Andriushchenko, N. Kim,
Application of monitoring of the informational and educational environment in the engineering
education system, in: 2019 IEEE International Conference on Modern Electrical and Energy
Systems (MEES), 2019, pp. 442–445. doi:10.1109/MEES.2019.8896469.
[32] V. V. Oliynik, O. M. Samoylenko, I. V. Batsurovs’ka, N. A. Dotsenko, Formation of future
agricultural engineers professional competences in computer-oriented environment of
higher education institutions, Information Technologies and Learning Tools 68 (2018)
140–154. URL: https://journal.iitta.gov.ua/index.php/itlt/article/view/2525. doi:10.33407/
itlt.v68i6.2525.
[33] S. Voloshynov, H. Popova, A. Yurzhenko, E. Shmeltser, The use of digital escape room in
educational electronic environment of maritime higher education institutions, volume
2643, CEUR-WS, 2020, pp. 347–359. 7th Workshop on Cloud Technologies in Education,
CTE 2019 ; Conference Date: 20 December 2019.
[34] T. Zhylenko, N. Martynova, I. Shuda, Y. Chykalov, D. Kuzmuk, Auto Checker of Higher
Mathematics - an element of mobile cloud education, volume 2643, CEUR-WS, 2020, pp.
662–673. 7th Workshop on Cloud Technologies in Education, CTE 2019 ; Conference Date:
20 December 2019.
[35] R. Tarasenko, S. Amelina, Y. Kazhan, O. Bondarenko, The use of ar elements in the study
of foreign languages at the university, volume 2731, CEUR-WS, 2020, pp. 129–142. 3rd
International Workshop on Augmented Reality in Education, AREdu 2020 ; Conference
Date: 13 May 2020.
[36] V. Tkachuk, Y. Yechkalo, S. Semerikov, M. Kislova, V. Khotskina, Exploring student
uses of mobile technologies in university classrooms: Audience response systems and
development of multimedia, volume 2732, CEUR-WS, 2020, pp. 1217–1232. URL: http:
//ceur-ws.org/Vol-2732/20201217.pdf, 16th International Conference on ICT in Education,
Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer.
Volume II: Workshops, ICTERI 2020 ; Conference Date: 6 October 2020 Through 10 October
2020.
[37] V. Bykov, D. Mikulowski, O. Moravcik, S. Svetsky, M. Shyshkina, The use of the
cloudbased open learning and research platform for collaboration in virtual teams, Information
Technologies and Learning Tools 76 (2020) 304–320. URL: https://journal.iitta.gov.ua/index.
php/itlt/article/view/3706. doi:10.33407/itlt.v76i2.3706.
[38] A. Kolmogorov, Sulla determinazione empirica di una lgge di distribuzione, Giorn. Inst.</p>
      <p>Ital. Attuari 4 (1933) 83–91.
[39] N. Smirnov, Table for estimating the goodness of fit of empirical distributions, The Annals
of Mathematical Statistics 19 (1948) 279–281. URL: http://www.jstor.org/stable/2236278.
246</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          [1] EnvironmentalScience.org,
          <source>What is an Agricultural Engineer?</source>
          ,
          <year>2021</year>
          . URL: https://www. environmentalscience.org/career/agricultural-engineer.
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          [2]
          <string-name>
            <surname>CollegeGrad</surname>
            <given-names>LLC</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Agricultural</surname>
            <given-names>Engineers</given-names>
          </string-name>
          ,
          <year>2021</year>
          . URL: https://collegegrad.com/careers/ agricultural-engineers.
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          [3]
          <string-name>
            <given-names>A.-E.</given-names>
            <surname>Guerrero-Roldán</surname>
          </string-name>
          ,
          <string-name>
            <surname>I. Noguera</surname>
          </string-name>
          ,
          <article-title>A model for aligning assessment with competences and learning activities in online courses</article-title>
          ,
          <source>The Internet and Higher Education</source>
          <volume>38</volume>
          (
          <year>2018</year>
          )
          <fpage>36</fpage>
          -
          <lpage>46</lpage>
          . doi:https://doi.org/10.1016/j.iheduc.
          <year>2018</year>
          .
          <volume>04</volume>
          .005.
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>