=Paper= {{Paper |id=Vol-2879/paper24 |storemode=property |title=Adaptive toolkit of branch-oriented workshop environment for enlargement the cloud-based e-learning media platform |pdfUrl=https://ceur-ws.org/Vol-2879/paper24.pdf |volume=Vol-2879 |authors=Tetyana V. Neroda,Lidia V. Slipchyshyn,Ivan O. Muzyka }} ==Adaptive toolkit of branch-oriented workshop environment for enlargement the cloud-based e-learning media platform== https://ceur-ws.org/Vol-2879/paper24.pdf
Adaptive toolkit of branch-oriented workshop
environment for enlargement the cloud-based
e-learning media platform
Tetyana V. Neroda1 , Lidia V. Slipchyshyn2 and Ivan O. Muzyka3
1
  Ukrainian Academy of Printing, 19 Pid Holosko Str., Lviv, 79020, Ukraine
2
  National Pedagogical Dragomanov University, 9 Pyrohova Str., Kyiv, 01601, Ukraine
3
  Kryvyi Rih National University, 11 Vitalii Matusevych Str., Kryvyi Rih, 50027, Ukraine


                                         Abstract
                                         The ways of providing comprehensive efficiency increase in communication facilities of the academic
                                         space are given with regard to stipulated methods of managing distributed network resources. Selected
                                         the user interfaces types are distinguished according to user actions in the studied subject area, which
                                         made it possible to justify and hierarchically organize the categories of adaptive toolkit of the branch-
                                         oriented workshop environment by the classes of components declared in the project, which are closely
                                         related to the scheme of learning experiment and are basic means for simulating transients. The analytical
                                         models of classes of components of the virtual laboratory stand are compiled, the elements of which
                                         represent the properties and methods for visualization and further processing of interacting instances
                                         of the basic locations of the subject area, while ensuring system stability and controllability by clear
                                         distribution of functionality. Finally, the unification of component set template properties of the subject
                                         area is implemented, which greatly extending the targeted destination of virtual platform and increasing
                                         number of educational disciplines of academic course covered by the designed media resource. The
                                         results of the pedagogical verification showed an increase in the students’ performance in mastering the
                                         subject area by means of presented branch-oriented workshop environment.

                                         Keywords
                                         academic information space, workshop media platform, profiled content, structured data flows, subject
                                         area




1. Introduction
The deepening of the boundaries of information educational technologies use to poses a strong
need for permanent increase in the efficiency of virtual environments at the academic space
and improvement of the services quality provided by scientific and pedagogical communication
networks [1]. The flexibility of such provision cognitive activity for subjects of educational


CTE 2020: 8th Workshop on Cloud Technologies in Education, December 18, 2020, Kryvyi Rih, Ukraine
" netava@i.ua (T. V. Neroda); lida.slipchyshyn@gmail.com (L. V. Slipchyshyn); musicvano@gmail.com
(I. O. Muzyka)
~ https://akt.uad.lviv.ua/index.php/about/profesors-ko-vikladats-kij-sklad/item/309-neroda-tetiana-valentynivna
(T. V. Neroda); https://npucenter.lviv.ua/wp-content/uploads/2020/04/Slipchyshyn-resume-2020-03-09-kor.pdf
(L. V. Slipchyshyn); https://isdc.com.ua/staff/muzyka (I. O. Muzyka)
 0000-0002-5728-7060 (T. V. Neroda); 0000-0001-9159-9458 (L. V. Slipchyshyn); 0000-0002-9202-2973 (I. O. Muzyka)
                                       Β© 2020 Copyright for this paper by its authors.
                                       Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
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    Workshop
    Proceedings
                  http://ceur-ws.org
                  ISSN 1613-0073
                                       CEUR Workshop Proceedings (CEUR-WS.org)



                                                                                                        423
process is possible only with the extension of criteria of analysis of the level of competence of
future specialists of engineering and technical direction.

1.1. The importance of the experimental research environment for the
     training of highly qualified specialists
In order to ensure effective acquisition of skills and practical experience, the laboratory form
of organization of cognitive activity is especially important involving computer graphics [2],
augmented reality [3], and interactive animation [4], including software, resources for electronic
methodological documentation adopted by higher education institutions and provided for
industry standards and curriculum on training of specialists; as well, an indispensable factor is
an modern production methods, efficient analytical apparatus and instrumentation in accordance
with requirements of industry branch. Implementation of advanced educational practices in
objectification of computerized training experiment environment using traditional and neoteric
laboratory tools determines the topicality of designing computing tools for distributed processing
of educational data flows, as well as mechanisms for delimiting end-user personalized areas of
unified academic space to meet research needs of hearers of technical and natural courses, and
to deployment of remote teamwork over creative collective tasks.
   From the described formulation of topicality it follows the timeliness to look for measures to
building adequate structural models according to the relevant object classes, which will be key
components of the subject area and an interactive metrology toolkit for the infocommunicative
experimental research environment as an adaptive learning means.

1.2. Analysis of modern views of authoritative scientists on problem
     the implementation of computerized means of training experiment
Nowadays methods of academic activity digitalization are widely covered by scientists [5,
6]. This is especially interesting here use of multimedia data mining, stratification and data
management, which circulate in a virtual platform of experimental research.
   Psychological and social peculiarities of virtual and augmented reality implementation and
their potential for enriching students’ learning experience investigate in particular Makransky
and Petersen [7], while highlighting the affective and cognitive paths that obviously contribute
to increasing quantitative learning outcomes. Using of some common ones gamification function
to promote a student-centered learning environment for personal and professional development
dedicated the works of Buzko et al. [8], Champion [9], Haranin and Moiseienko [10], Katsko
and Moiseienko [11], Pokulyta and Kolotylo [12], Shepiliev et al. [13], Symonenko et al. [14],
Tokarieva et al. [15], Tsay et al. [16], Vakaliuk et al. [17, 18], Voloshynov et al. [19], Yildirim
[20], Zinovieva et al. [21] etc. The conditions of application of telecommunication solutions
in remote subject-information environments for acquiring competencies in the mastering of
technical specialties are analyzed in detail by Barker et al. [22], Calvo et al. [23], Lovianova
et al. [24], Milani and Navimipour [25], Modlo and Semerikov [26], Modlo et al. [27, 28],
Rashevska and Soloviev [29], Vlasenko et al. [30, 31]. The current state of virtualization of
the educational laboratory in the field of science, technology and technology is summarized
with recommendations and outlining the prospects for further development in the works of



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Bondarenko et al. [32, 33], de Hei et al. [34], Kiv et al. [35], Lavrentieva et al. [36], Nechypurenko
and Soloviev [37], Nechypurenko et al. [38, 39, 40], Pererva et al. [41], Potkonjak et al. [42],
Syvyi et al. [43], Tarasenko et al. [44], Zinonos et al. [45]. Directions of extension of functional
of subject area of experimental researches to full-fledged workshop format in the appearance
of diagram models with introduction of mechanism of prototyping of components see into by
Karagiannis and Buchmann [46], also algorithms for the identification and arrangement of such
components are being developed by Goyal and Ferrara [47], Jia et al. [48], Murphy [49].
   However, in considered researches, as well as in existing platforms of world and domestic
practice, the question of accumulated information interactive introduction of sectoral enterprises
production process directly into educational environment of experimental researches is almost
not covered, and unification directions of subject area composition tools for provision of
interdisciplinary pedagogical services are very superficially determined. It should also be
noted that mechanisms for integrating virtual laboratory computing resources into academic
information space together with provision of profiled content for authenticated recipients
of multi-user creative training ground to initiation and support of educational and scientific
projects are practically never disclosed; as well as completely ignores the problem of providing
adequate access to interested representatives from other academic departments and independent
cultural-educational and research institutions of profile industry.
   Therefore, it is timely to find conceptual solutions in data flows management the subject
area of interactive media resources of laboratory workshops as an organic constituent the
computerized learning system in the preparation of highly qualified specialists in technical
direction and developing competencies as future engineer, which will in handy in the fulfillment
of his professional duties.


2. Infocommunicative media platform of remote
   experimental research
Hearers of modern engineering specialties master the practical component of the profile industry
in the laboratory lesson when using equipment adapted to the conditions of the educational
process, laboratory models, installations and the like. For holding laboratory work standardized
instructions are prepared corresponding requirements of profile industry branch. Instructions
for laboratory and practical lessons are a variety of workshops – educational publications of
tasks and exercises that contribute to the assimilation of acquired knowledge, skills and abilities.
The official confirmation of the expediency of their use in the pedagogical process of higher
education institutions is realized through the procedure of approval by the subject committee
of the Scientific and Methodological Council for Education.
   Appropriate recommendations also accompany laboratory studies implemented on neoteric
systems based on computing platforms for monitoring physical devices and material laboratory
stands and with only indirect involvement of the end-terminal of the academic space.




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2.1. Stipulation the object-oriented concept of virtual laboratory
Unlike classical laboratory stands to increase the effectiveness of the self-study component
for today it is advisable to use a computerized learning experiment platform providing full
simulation of laboratory work from combining the experimental scheme directly from the
virtual toolkit to further study the imitation models obtained and to automatically generate
a report of the selected research results according to the requirements made in the higher
education institution. Thus, the student as the subject of the educational process operates
descendants of classes of object model, which are presented at the end-terminal as graphical
images of real equipment of the subject area [50].
    When performing laboratory tasks such graphical images form structured objects; object-
oriented programming methods and events allow them to be moved / copied, grouped, rotated,
and more. Having superficial skills in handling the environments of computer-aided design,
students of inceptive courses will be able to independently make a imitation model of the subject
area, and based on a virtual experiment scheme to carry through the analysis of transient process.
Given the known difficulties, when designing an interactive virtual media laboratory resource
with its subsequent integration into academic information space, first of all it is necessary to
spend stratification of all possible categories of data flows and determining the end software
modules where they will be applied.
    Therefore, to placement research objects and visualization of the subject area itself to nec-
essary define the types of user interfaces. The main user actions go within the If𝐴 application
workspace through specialized toolkit T𝐴 . Regardless of the purpose of the virtual laboratory
and her place in the academic curriculum to group the commands of this pictographically toolkit
of the application object-oriented interface there is a need to distinguish generalized categories
of data structures in the designed learning experiment environment.
    The basic locations of the experiment scheme are given by virtual models of the main
components of class D, which developed and introduced for the implementation of physical
devices (stages) of the investigating technological process by their transient function. To
integrate virtual models of class D components from T𝐴 toolkit physical device category of
laboratory research application into continuous scheme of educational experiment, in created
educational media resource is separated category of connecting components implemented in class
L. For informational support of the learning experiment scheme, it is necessary to provide a
separate tag that will store the independent text components E. Also, in a separate data structure,
it is advisable to keep information about certain contours of R from a generalized scheme of
learning experiment.

2.2. Categorization of data flows in computerized learning experiment
     environment
According to the conditioned object-oriented model of experimental research environment some
current component D𝑖 as an instance of class D first of all, will be determined by identifier of
individual component class IdClass, which is unique to the research subject area, and identifier
of specific instance IdCom𝑖 , which exceptional in the modeled scheme of the experiment. Also,
the data structure pointer of the current component captures its attributes in the computerized



                                               426
learning experiment environment and placement features on the canvas of the subject area,
which are determined by nested pairs.
   So, the set of attributes of an instance of the Exp component represented by the optional
parameter in, which stores the component index in its reference designation, provided by the
identifier IdClass; in general, this index is generated and rendered automatically by the serial
number of an instance of a specific object class of major components in the current subject area,
but in the project presented it was advisable to provide a means of correcting it. In addition
to the index in the layout of the learning experiment scheme, the end user of the educational
information space also indicates the nominal of component nom. If the instance nominal is not
adjusted by the student, the Exp property will retain the default value initiated by the class
identification. It should be noted here, that another optional parameter – the mathematical
model mod, which describes the functioning of the component and is required for further
research of transient processes in the system under investigation, is determined by the class
identifier, and as well the minimum and maximum value of the component.
   The location Pl of graphical designation current instance of the component on canvas of
subject area of the virtual laboratory stand is visualized by the coordinates xy𝑖 of its reference
point in the relative coordinate system of the screen environment, the ori property identifying the
rotation angle and the mirror option, and the instance identifiers of adjacent components IdCom
in scheme of the learning experiment. Thus, the tuple of instances of the main components
of object-oriented class D in the data flow of subject area includes a predefined list of typical
properties and methods as reactions to user and system events (1):


                      𝐷𝑖 = {πΌπ‘‘πΆπ‘™π‘Žπ‘ π‘ π· , πΌπ‘‘πΆπ‘œπ‘šπ‘– , 𝐸π‘₯𝑝{𝑖𝑛, π‘›π‘œπ‘š, π‘šπ‘œπ‘‘},
                                                                                               (1)
                            𝑃 𝑙{π‘₯𝑦𝑖 , π‘œπ‘Ÿπ‘–, 𝐴𝑑𝑗{πΌπ‘‘πΆπ‘œπ‘šπ‘–βˆ’1 , πΌπ‘‘πΆπ‘œπ‘šπ‘–+1 }}}.

   Further, the basic properties of some current link L𝑗 as an instance of class of connecting
components L will also be determined by the native class identifier IdClass and the identifier
the j-th instance of the link IdCom𝑗 . The formatting attributes of the connection component
are stored in nested Exp pair and show the start and end types of the link. Structure of pointer
location of the Pl connector is consistent with the corresponding tag of the main components
and provides an abscissa and ordinate for the onset of rendering, the link orientation and a
list of the main components connected to it. So the structure of data flows fragment with the
properties of the current connection component (2) will be simpler, more compact and faster
processed by computing resources of graphics device interface at the end-user terminal of the
learning system:


                             𝐿𝑗 = {πΌπ‘‘πΆπ‘™π‘Žπ‘ π‘ πΏ , πΌπ‘‘πΆπ‘œπ‘šπ‘— , 𝐸π‘₯𝑝{𝑏𝑙𝑗 , 𝑒𝑙𝑗 },
                                                                                               (2)
                        𝑃 𝑙{π‘₯𝑦𝑖 , π‘œπ‘Ÿπ‘–, 𝐴𝑑𝑗{πΌπ‘‘πΆπ‘œπ‘šπΏ(𝑏𝑙) , πΌπ‘‘πΆπ‘œπ‘šπΏ(𝑒𝑙) }}}.

   It is even simpler to implement a fragment of a data structure in the project that covers the
independent text components E necessary for informational support of the scheme of the learning
experiment. As this component does not carry any technical load, it is inappropriate to allocate
a separate class of the internal component library to it. Therefore, it was decided to use the



                                               427
standard character field of the edit class provided via the terminal graphics device interface and
to keep in the specification some of its important parameters that are available for adjustment
by the end user. Consequently, the projection Eπ‘˜ of some independent text object (3) contains
a set of simpler font attributes Ft, such as a font type, size, design of type face, etc., already
described Pl location pointer options and actually context:

                             πΈπ‘˜ = {𝐹 𝑑, 𝑃 𝑙{π‘₯π‘¦π‘˜ , π‘œπ‘Ÿπ‘–}, π‘π‘œπ‘›π‘‘π‘’π‘₯π‘‘π‘˜ }.                            (3)
   It should be noted that such a traditional connecting component as node, acting as part
of the communication network, in the presented project implemented by a class of principal
components D with corresponding properties (1) with a somewhat simplified description, a
blank orientation record, and an advanced array of adjacent components list. The contain of
this array is dynamically changed during the experimental research, interactively adjusting the
number of gateways of the corresponding node. It is this component that allows us to detail
in the experiment scheme a particular region of R𝑝 , to that is given particular attention as a
separate step according to map of the technological process.
   For highlight regions R within an outline of virtual laboratory stand the T𝐴 toolkit provides
a separate cursor by which the user captures key components. In turn, the set of such selected
regions with corresponding properties (4) are saved in the final fragment of pithiness part of
subject area data flow, encompassing the Pt array of the sequence of components in the direction
of the signal in the research region with his inherent cumulative mathematical model mod𝑝 for
further automized modeling of transient process:

                                𝑅𝑝 = {𝑃 𝑑{πΌπ‘‘πΆπ‘œπ‘š[𝑝] }, π‘šπ‘œπ‘‘π‘ }.                                  (4)
   The built models (1) – (4) as an organic part of our analytical apparatus of the transient
modeling application, they provide flexible processing the data structures of subject area in the
learning experiment environment. However, for designing the full-fledged unified educational
platform of virtual laboratory as an organic component the academic information space these
conditioned descriptors is obviously not enough.

2.3. Tagging of the basic templates structure a learning experiment
     environment
The correctness and completeness of the conceptual description of the collection of basic
templates of multiple components of the subject area defines the limits of application of the
projected environment. To expand a target appointment the virtual platform of experimental
research and involvement in it maximum number of educational disciplines from an academic
course to prepare qualified professionals, it is advisable to implement such templates in the
form of distributed software libraries iLib that will dynamically connect to the application
environment of the learning experiment.
  An object-oriented class of template components as T𝐴 toolkit categories is formed in a
service environment with a separate type of the user interface If𝐾 with a slightly different
T𝐾 toolkit. Generated as a result original data packet will store the unified properties of the




                                               428
component and will later transfer them on the descendant instances. The pithy part of the
component description is located in the descriptor of the class identification block (5):

             πΌπ‘‘π΅π‘™π‘œπ‘π‘˜ = {πΌπ‘‘πΆπ‘™π‘Žπ‘ π‘ , 𝑁 π‘Žπ‘šπ‘’_𝐢, πΆπ‘œπ‘›π‘‘_𝑀, π‘ˆ 𝑛𝑖𝑑𝑠, 𝑁 π‘œπ‘š, 𝑀 π‘œπ‘‘},                     (5)

where IdClass is identifier of component prototype object class;
       Name_C is character array of component name;
       Cond_M is reference component designation;
       Units    is the units of component transient measurement;
       Nom      is default value of component nominal;
       Mod       is the mathematical model of component transient measurement.
  As noted, specified by default mathematical model Mod is not a required parameter and
can be adjusted in a step of building the scheme of experiment (1). Representation features of
component instance in the application window workspace, him appearance and features of
behavior are defined by description of graphic block (6):

                      πΊπ‘Ÿπ΅π‘™π‘œπ‘π‘˜ = {πΊπ‘Ÿ_𝐢, 𝑆𝑖𝑧𝑒_𝐢, πΊπ‘Žπ‘‘π‘’_𝐢, 𝐼𝑐𝑛_𝐢},                             (6)

where Gr_C is graphics image of the component in scheme of experiment;
       Size_C is two-elements array of dimensions of graphic image on canvas;
       Gate_C is eight-elements array of connector gateways of graphic image;
       Icn_C is bitmap array of component’s thumbnail in toolkit T𝐴 .
  By default, a bitmap array of thumbnail is formed by scaling the graphic image of the
component. The graphic image itself is attached to a dynamic library from an external file or
created by the user in the If𝐾 interface in component designer with using the T𝐾 toolkit, what
operates with primitives from system graphics device interface.
  Application environment design virtual laboratory as a distributed means of providing remote
educational services provides for the mandatory introduction of the accompanying block for
contextual information and methodological support for experimental research, in particular
indicating the sequence of implementation of the current studies exercise (7):

                         π΄π‘π‘π΅π‘™π‘œπ‘π‘˜ = {𝑉 π‘Žπ‘™_𝐢, 𝐻𝑒𝑙𝑝_𝐢, 𝐾𝑛𝐡_𝐢},                               (7)

where Val_C is the numerical array of component transient process values;
       Help_C is context of the target indexing of the help subsystem;
       KnB_C is context of targeted indexing of the academic knowledge base.
  Numeric array of benchmarks the transient process measured in Units (5), gives the nominal
value, which is stored by default in the instance of the corresponding component of experiment
scheme (1), as well as the minimum and maximum possible values to account of boundary
conditions for further modeling the subject area.


3. Directions for expanding resources of virtual laboratory
Indexed sections of the help subsystem promptly provide the context for drop-down tooltip
of T𝐴 toolkit and a sampling of hyperlinks in the expandable zone of the application window



                                             429
If𝐴 . For a complete organization of scientific and educational conditions a similar sampling of
profiled methodological materials [51], indexed from the repositories of the academic knowledge
base ADB, arrive at the end-terminal of the computerized learning system.

3.1. Integration of the virtual laboratory environment into the academic
     information space
The tuple (7) provides flexible integration of virtual laboratory environment into educational
space (figure 1, a) in service of authenticated recipient U. First of all, it is provided here the
classic content of theoretical piece and methodological guidance, which is approved by the
relevant department in its static form as information support for the preparation of specialists
in a specific educational program E_Pr. In addition to the above information support for the
end-user the adaptive F1 content is delivered, which is dynamically generated by analytical
apparatus of education space from resource funds of the academic scientific and technical library
on individual profile requests or according to the results of introductory testing on the relevant
topic of laboratory lesson [52]. The result of this individually oriented solution is to improve
the perception and memorizing of practice information.




Figure 1: Structurization of data flows when expanding resources of virtual laboratory.


   Management of such data flows inclusive with their content happens this way, to the in-
terdisciplinary content of adaptive profiled content was in direct proportion the amount of
competencies missing from the recipient. Such adaptability is ensured by the automatic struc-
turing of the academic knowledge base resources through carefully marking by the authors of
key concepts as it is refreshed and indicating interrelations with other topics of the discipline
or with topics of other disciplines of the educational program.
   Specific means of target indexing of help subsystem and academic knowledge base provide
reflection in informational accompaniment of fragments of an intermediate version of editions,
which are being prepared for printing, but which are located by author on department’s network.
Such excerpts is initiated in accordance with the keywords of the studied subject area, which
are specified in the search query; thus resolves the problem of bringing of unpublished faculties
funds to the end user.
   These closed sources supposed an opportunity for online discussion, commenting, highlight-
ing of eventuality errors or omissions in feedback to the author, which is very useful when



                                                430
verifying the unfinished tasks of learning experiment. Integration of the environment of virtual
laboratory into the academic information space also expands opportunities to organize student
teamwork, turning to a multi-user media platform to support educational and scientific research
and the development of collective projects.

3.2. Updating of scientific and methodological content of laboratory
     workshops
An important means in supporting scientific research and activation of students cognitive
activity through teamwork, conducted in the designed environment of experimental research it
is possible to get real manufacturing telemetry reading (figure 1, b). Descriptor of a numeric
array of transient process values of component Val_C from the tuple (7) as attributes of the
location components scheme of experiment Exp {nom} (1) allows connect to one of the specialized
distributed dynamic libraries iLib of some relevant channel of data exchange with manufacturing
information resources MIR for prompt broadcast of relevant pieces from the profile industry.
   As a source of such manufacturing resources in the project applied through protocol descrip-
tion of industry processes [50, 53], which specifically stores transactions direct data exchange
with automated data systems and equipment. This protocol, as well as the logistic information
of the enterprise, which are organized as separate dynamic libraries of conditioned structure
(5) – (7) will be an toolkit array T𝐴 ={T𝐴𝑖 } and gives the flexibility to specialize the learning
experiment environment If𝐴 to the subject area of the respective academic discipline, and a
list of tutorials and component options of transient process, being tested in laboratory work,
bring closer to real production circumstances. The implementation of the described similarity
with the production conditions of the future profession for young engineers is very important
and also enhances the effectiveness of the projected virtual computerized platform of practical
workshops supply, which is closely integrated into the academic scientific and educational
information space.


4. Approbation and results of pedagogical exploring
The presented infocommunicative media platform of the virtual laboratory was introduced
into the educational process in the discipline β€œElectrical engineering and electromechanics”
according to the educational and professional program of higher education bachelor’s degree in
β€œAutomation and computer-integrated technologies”. Measurements were performed to compare
the competencies of students who completed the first year of study.
   Participants in the pedagogical exploring were 60 students: 30 – control group (CG) and
30 – experimental (EG). Group homogeneity was determined using Pearson’s chi-squared test.
Under the terms of the exploring, only the experimental group was allowed to work in the
virtual laboratory. Instead, the control group traditionally worked with highly specialized
computer applications for digital modeling of electronic circuits Micro-Cap 11. It should be
noted that this electronic design automation software does not comply with the requirements
of domestic standards in the graphical designation of subject area components and also there
are the complexity and specificity of the English-language interface, especially for initial years
students.



                                               431
   To evaluate the effectiveness of the proposed method of work with a virtual laboratory in
conditions of comparing the empirical distribution with the theoretical for the two available
small samples, the quantity of which is given by pedagogical practice (5 Γ· 20 < n < 30), the
difference (or agreement) of the academic performance level of the experimental and control
groups was researched using the criterion of agreement πœ’2 (Pearson):
                                      πœ’2 = {𝑛𝐸 𝐺, 𝑛𝐢 𝐺, π‘˜},                                      (8)
where n𝐸 𝐺 is the frequency of progress points in the experimental group;
        n𝐢 𝐺 is the frequency of progress points in the control group;
        k     is the number of compared frequencies (k = 6 for points from 0 to 7, which
              provided by the curriculum).
   Figure 2 presents a histogram of the academic performance distribution of the groups that
participated in the experiment (control group marked with cones, experimental – parallelepipeds)
at the end of the year. In the experimental group, compared with the control group, there is an
increase in the number of students at intermediate and advanced levels. This indicates that the
students of the experimental group study the subject area faster and more deeply in a virtual
laboratory.




Figure 2: Histogram of the academic performance distribution in the control (cones) and experimental
(parallelepipeds) groups.


  To test the hypothesis about the effectiveness of teaching methods using a virtual laboratory,
Pearson’s chi-squared test was used (8): H0 – assume that the empirical distribution of EG
agrees with the theoretical distribution of CG (no differences between group performance), or
H1 – there is a difference between distributions. For the selected significance level 𝛼 = 0.05
and the number of freedom degrees s = k – 1 = 5 we find by the upper-tail critical values of
chi-square distribution critical value πœ’2π‘π‘Ÿ (𝛼, 𝑠) = πœ’2π‘π‘Ÿ (0.05; 5) = 12.705.
  Comparison of tabular and calculated value of the criterion πœ’2π‘π‘Ÿ < πœ’2π‘π‘Ÿ (𝛼, 𝑠), namely
11.07 < 12.705, gives grounds to reject the hypothesis H0 about the identity of the distributions



                                                432
of estimates in the groups EG and CG and to accept the opposite H𝑖 about the difference between
the distributions. Also, we can conclude with a probability of 0.95 that there are differences
between teaching methods.
   Thus, the results of the pedagogical exploring show that the interdisciplinary environment
of laboratory research introduced into the educational process with sufficient tools helps to
increase the advancement of future specialists in mastering the subject area. This progress is
obviously due to the lack of redundant features that distract students from the content of the
laboratory task, and a positive User Experience when interacting with a practical and friendly
media platform.


5. Conclusions
Conditioned structural relations between component attributes, that make up a formalized
description of the properties, characteristics and functionality of subject area as descriptors are
formed the basis of the original specification of the virtual laboratory in general and the internal
libraries for it. Using the specifications of the agreement, proposed structure provides optimal
control of data flows of interactive media resources of laboratory workshops, which simplifies
the methods of modeling and visualization of the subject area of the learning experiment at
terminal of end-user of the academic information space with the operative attachment of target
control elements and provision of profiled dynamically generated content from different sources
of corporate knowledge base.
   For all descriptors of the specification of the interactive media resource, the preservation of
the optimal list of parameters is implemented, which provides simplification of the methods of
its modeling when pulling up the structured content from different sources of the knowledge
base, reducing the load on the hardware of the end-terminals of the scientific-pedagogical
space and offsetting possible incompatibilities with the future reorganization of the single-pages
applications web-interface to provide prompt and comfortable end-user access to actively sought
after educational services. The proposed solutions for technological content will improve the
future professionals training quality, training them on the current means of modern production,
while enhancing cognitive activity and accumulation of knowledge capital with leadership skills
through effective teamwork, and in the future to deploy interactive supervisory systems of
the profile industry based on academic environment computing resources of the experimental
researches for the subject area of professional disciplines where the contour routes of the
experimental scheme are provided.
   Further development of the project is planned to focus on the implementation of distributed
access by authenticated users for independent processing of the separate stages of a single
scheme of the learning experiment. Specification and extension of mechanisms for simultaneous
exchange of resources for all parts of the virtual lab stand in real time will allow to formalize
and narrow down a set of QoS methods to managing of Display Network packet resources,
will ensure the elimination of conflicts especially at the stages of profile identification, which
are sensitive to data incompleteness and delay, and as a result promote of competitive media-
oriented product, which will be required by the target consumer of educational services.




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Acknowledgments
The authors thank the staff of the educational department of the Ukrainian Academy of Print-
ing for their promotion in the application of pedagogical exploring. Also, the authors show
appreciation to the technical and support personnel of the Laboratory of Electrical Engineering
and Microelectronics and the Laboratory of Service-Oriented Structures Design in Polygraphy
of the Department of Automation and Computer Technologies for assistance in deploying and
maintaining the designed virtual media platform of learning experiment research.


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