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<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>Kyiv, Ukraine, June</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>Life-Long Learning: Individual Abilities versus Environment and Means</article-title>
      </title-group>
      <contrib-group>
        <aff id="aff0">
          <label>0</label>
          <institution>Institute of Information Technologies and Learning Tools</institution>
          ,
          <addr-line>9 Maksyma Berlyns'koho St, 04060 Kyiv</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Key Terms. Capability, Technology</institution>
          ,
          <addr-line>PSI-ULO, ICTEnvironment, PSI Core Time ontology</addr-line>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2016</year>
      </pub-date>
      <volume>2</volume>
      <fpage>1</fpage>
      <lpage>24</lpage>
      <abstract>
        <p>This paper describes new and emerging technologies in education, learning environments and methods that have to satisfy life-long learning of person, from school age to retirement, on the basis of the psycho-physiological model of the cognitive abilities formation. It covers such topics as: evaluation of a human (accounting schoolchildren, youth and adults features) abilities and individual propensities, individual trajectory of learning, adaptive learning strategy and design, recommendation on curriculum design, day-to-day support for individual's learning, assessment of a human learning environment and performance, recommendation regards vocational retraining and/or further carrier etc.). The specific goal is to facilitate a broader understanding of the promise and pitfalls of these technologies and working (learning/teaching) environments in global education/development settings, with special regard to the human as subject in the system and to the collaboration of humans and technical, didactic and organizational subsystems.</p>
      </abstract>
      <kwd-group>
        <kwd />
        <kwd>Human abilities</kwd>
        <kwd>development</kwd>
        <kwd>learning environment</kwd>
        <kwd>tools</kwd>
        <kwd>safety</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>
        Global changes in education aimed at ensuring tasks to account the transition from the
post-industrial to a digital era as well as to the knowledge society when a human
individual cognitive and creative ability become crucial for the mankind development
[
        <xref ref-type="bibr" rid="ref11">11</xref>
        ]. Education needs to be more and more individual-oriented, securing individual
psychophysiological abilities and development including network (as a main
learning/nurturing environment) security and safety [
        <xref ref-type="bibr" rid="ref14 ref17">14, 17</xref>
        ].
      </p>
      <p>Going beyond learning time and space constraints has been a crucial motivation.
Social, businesses, education/learning actions now take place globally and in many
time zones. Human knowledge and intelligence is now being systematically
transferred to computers, allowing them (e.g. in the form of robots or automated systems)
to operate autonomously even far away from the original time or space of its human</p>
      <p>- 609
originators. Moreover, that notation of space has expanded: new spaces have opened
up like the cyber space of Internet, cloud education etc.</p>
      <p>
        Giftedness is associated with creativity, cognitive abilities, intelligence and other
psychological qualities. To date, challenges to education are associated with modern
possibilities, innovative technologies and higher attention to a student ability to obtain
knowledge and skills up to date. Using the concept of context-based cognition it is
assumed that learner's individual construction of knowledge should take place within
a certain context, which is similar to the context in which this knowledge should be
applied in the future [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ].
      </p>
      <p>
        At the same time it is known that human cognitive opportunities can vary from
day-to-day depending on his/her functional state and fitness-for-work [
        <xref ref-type="bibr" rid="ref4 ref5">4, 5</xref>
        ]. As a
result, such changes can impact a human ability to adapt in a particular learning
environment, to perceive and to conceive new information, to use it, to get knowledge and
skills and to prevent its inefficiency. Besides, it is known a negative impact of a
human’s work with computer over a long period on his/her health and mental efficiency
nowadays. It is especially important for children and young people whose organism is
more sensitive and unstable comparing to adult one. Health disturbances have impact
on a child mental efficiency in learning process as a consequence of this. Some of
them have fluctuation nature in their development. As a result, efficiency of learning
and talent nurturing depend not only on innate child properties, but on information
contour of functional system of learning as a specific type of activity.
      </p>
      <p>
        Difficulties to assess and to predict students’ abilities and achievements are result
of lack of recognized definition of giftedness and measurement tools [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ], accounting
actual learning environment [
        <xref ref-type="bibr" rid="ref13">13</xref>
        ] and dynamic nature of giftedness and talent
development [
        <xref ref-type="bibr" rid="ref12">12</xref>
        ].
      </p>
      <p>
        It was stated that the most fruitful approach to understand mechanisms of activity
is a theory of functional systems proposed by P.Anokhin [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ] and his disciples
(K.Sudakov, A.Navakatikyan) who proposed the concept of the activity functional
system that connects in one model physiological systems state, conditions of the work
environment and the goal of activity. According to that a human activity is
accompanied by creation and maintenance of functional systems that are activated dominant
brain structures and correspond activity of one or another organism systems and are
quite enough stable for particular type of the human work. But this is not enough to
understand to what degree it can explain reasons of insufficient accuracy of a human
performance prediction.
      </p>
      <p>The purpose of the article is to describe psycho-physiological basis (concept and
model) of a human learning process, as well as human view on network-born threats
for a human (users of all ages) health and performance.
2</p>
    </sec>
    <sec id="sec-2">
      <title>Method</title>
      <p>
        The method used is based on the model proposed by the author. This model is a
development of the basic idea of P.Anokhin regards formation and functioning of the
“functional system of activity” [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ].
      </p>
      <p>
        Any human activity of mental type could be analyzed as an operator work, because
professional operator (pilot, power unit dispatcher, driver etc.), manager and learner
have to do with the objects indirectly through the information model of process
activities. Work (activity) of such a type has specifics consisted, first of all, in a workload,
because of not so power-consuming processes, as informational ones that are, by their
nature, not so discrete, but continuous [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]. The reason is that the conceptual model of
activity (as result of a human psychological adaptation to the work) is expanded in the
time independently on external process and an operator activity consists in discrete
comparison of the information obtained from outside with the model existing
constantly. I.e., conceptual model can be considered as an information stratum of
professional work, and physiological chain „afferent inputs – activity acceptor –
physiological control – effectors - act” is an energetic stratum. The goal of professional training
is forming of the conceptual model of activity of particular type, carrying out of the
particular task. It means creation of „information contour” that exists and is
maintained in activated state in carrying out process for purposeful activity and embraces
afferent inputs, decision making block, activity acceptor and act program, as well as
the object of activity (is represented as information model in case of operator-watcher
that creates the information contour together with the imagine- conceptual model).
      </p>
      <p>Energetic and information stratums can be represented as two contours which
partly coincide at the level of morphological structures and functions, but partly differ
because of including into the information contour an activity object that does not
participated in the energetic contour of the organism regulation, but is an inalienable part
of the information contour. Human activity is a mediator between internal and
external environment of organism, projection of structural-function specific of professional
homeostasis on the operator work. Output parameters of the activity program (activity
effectors) stand in the information contour as parameters of capability. In such a
context, operator’s activity is an activity program realized as physical and/or mental acts
in external environment.
2.1</p>
      <sec id="sec-2-1">
        <title>Research Question / Hypothesis</title>
        <p>The specific of learning work consists in the informative processes which are more
involved than energetic ones, and conceptual model of learning work is a result of
psychophysiological adaptation to this activity. This is relatively close to an operator
activity and, from substantial viewpoint, consists in discreet comparison of
information received from the educating system with the conceptual learning model used, in
carrying out a particular task. In other words, in forming and using an „information
contour” that exists in active state in the process of purposeful activity (Fig.1). This
contour includes afferent inputs, decision making block, act acceptor and act program,
as well as the object of acting (information model for operator). This hypothesized
model of psychophysiological maintenance of mental activity was developed as an
advancement of P.Anokhin’s theory of functional systems.</p>
        <p>Stability level of circulation in the information loop can be provided by its
dynamically fluctuation according to changes in levels of activation of certain
physiological systems subject to constant resultant of power. In formalized form, this means
that if the index of indicator level of information circulation i (eg, speed) in the
information loop is constant (ie, periodic with frequency ωi → 0), mental capacity R is
at one level, and integrated parameters of physiological systems φj change of
characteristic for their frequency ωj, then</p>
        <p>F = Af (ω ) =  B j j ︵ j
︶≈const,
where A, Bj - average values of estimated parameters in the range of observation.</p>
        <p>
          Description is given from viewpoint of both theory of functional systems and new
“vortical model” of ability development as a dynamic transformation [
          <xref ref-type="bibr" rid="ref7">7</xref>
          ]. The latter
means that natural inclinations transformation into child ability can involve
physiological, psychological and external sources as “developing environment” that create
particular abilities as a specific combination of abilities existing only in interaction
with actual environment. And this interaction has dynamic nature depending on
power and rate of three sources circulation that involve information, knowledge and skills
as a catalyst saturating the giftedness structure created.
        </p>
        <p>
          Afferent inputs correspond to well-known sensory systems and could be divided
into:
 visual,
 auditory,
 tactile,
 gustatory,
 scents,
 temperature,
It was confirmed that human ability to cognitive performance is not stable over time
span that impacts on human mental performance efficiency [
          <xref ref-type="bibr" rid="ref6">6</xref>
          ]. This corresponds to
idea of the central role of cognitive processes in prediction of training and operation.
Oscillations of psychophysiological indices of a human state and capacity have
exogenous and endogenous nature.
        </p>
        <p>The model can help to answer the following questions: what to measure, assess and
predict? Main issues to be accounting in this context are as follows:
• Measurement should be a tool, not a goal.
• Parameters of the information contour should be measured for each stage of a
student work:
o Professional adaptation-dis-adaptation.
o Day-to-day fitness-for-learning.</p>
        <p>o Current learning performance degradation.</p>
        <p>
          This method and its application regards day-to-day fitness-for-learning are
discussed by result of study of 20 intellectually gifted school boys’ cognitive abilities on
a month day-to-day basis. Subjects participated in two types of observation: (1)
preliminary assessment of specific abilities for particular areas of mental activity (math,
science, technical etc.), (2) day-to-day monitoring of performance the series of
cognitive tasks [
          <xref ref-type="bibr" rid="ref7">7</xref>
          ].
        </p>
        <p>
          The effectiveness of research psycho-physiological techniques considerably rises
in case of usage not of a set of tests, but of a psycho-diagnostic system. To solve this
task the computer system of psycho-physiological researches of a human
psychomotor and cognitive activity in conditions of research laboratories and rehabilitation
centers was developed. Experiments included psychological tests performance by
subjects at the computer display and simultaneous measurement of physiological
parameters. They were used tests as follows: short memory, perceptual (searching of
missed numeral), cognitive (logic-combinatorial) [
          <xref ref-type="bibr" rid="ref2">2</xref>
          ]. In all tests we registered time of
each task performance in milliseconds, correct (expected) and really entered answers.
Besides, we used a subjective state assessment of the examinees by means of the
reduced variant of the test “General_state - Activity – Mood” (GsAM) at the beginning
and at the ending of the test session. (the indices of mood mood, serviceability FfD,
attention atten, anxiety anxiety) prior to the beginning (index "0") estimated and upon
finishing the tests performance.
        </p>
        <p>As indices of physiological “cost” of activity and the human state we registered a
heart rate HR and blood pressure (systolic BPs, diastolic BPd) by means of the
cardiomonitor "Solveig". The indices HR, BPs and BPd we registered during 5 min prior
to the tests beginning (index “0”) and 5 min after finishing (relaxation).</p>
        <p>The specific of the research technique consisted in to check the variability in time
of psychophysiological indices registered when subjects performed cognitive and
perceptual tests, under impact of infradian rhythms of a various origin. Each
examinee took part in experiments with constant workload in the same phase of day to
eliminate the circadian effect.</p>
        <p>
          The data on influence of solar activity on a human health and some physiological
systems are known, however results of study of cognitive activity associating with
heliophysic parameters are not known in the scientific literature to date. In our
preliminary pilot researches the precise connection between effectiveness of operator
activity and parameters of a solar wind (SW) was revealed. With the purpose to study
this phenomenon we registered indices of proton component of a solar wind - velocity
SWsp (km/s) and density SWden (proton/sм3) on the data from Internet site NASA
[
          <xref ref-type="bibr" rid="ref15">15</xref>
          ], as well as parameters of the geomagnetic field (GMF) - planetary index Кs and
index of “equivalent amplitude” A.
        </p>
        <p>Average values of physiological parameters testers for testing days indicate the
individual character of their dynamics as in the initial state (immediately after school)
and after the test activity. Comparison of changes in the nature of physiological
parameters as a reaction to stress (cognitive tests are simple and conform to the logical
skills of Grade 1 pupils of secondary school), indicates that even these activities can
serve as a functional test of the occurrence of fatigue, which was found in previous
studies (Fig.2).</p>
        <p>It is significant increase in heart rate in the first of the testers, while, as in other
myocardial activity is, on average, unchanged. This subjective assessment of mood
under the influence of the test after the end is more stable comparing to the original
state (just after the last lesson). Thus, different tendencies of objective performance
changes, self-assessment and physiological changes in time, under learning and
external factors impact need to be accounting as the comprehensive approach in education
process to increase its efficiency and to reduce negative its negative impact on
students’ health.
2.3</p>
      </sec>
      <sec id="sec-2-2">
        <title>Possible Applications of the</title>
      </sec>
      <sec id="sec-2-3">
        <title>Performance</title>
      </sec>
      <sec id="sec-2-4">
        <title>Model to</title>
      </sec>
      <sec id="sec-2-5">
        <title>Control Students Cognitive</title>
        <p>Practical realization of these ideas is applied for the cybernetic mechanism of a
human performance control. There is the set of psychophysiological parameters of
human P, which are related to forming and realization of his capacity. The set of his
professionally important qualities, parameters of professional senescence and current
capacity is a number of the parameters of operator professional activity D. The task of
synthesis of the system for psychophysiological prediction of operator capacity is the
task of optimum reflection P on D, that provides maximal quality of functioning
SLTS Q subject to the system cost C, which does not exceed a possible level Clim:
[pP] m [D* D], where m – operation of optimum reflection of elements P on the
set of elements D; D* - optimum set of parameters of professional activity</p>
        <p>D0 = arg max Q(D) under C ≤ Clim.</p>
        <p>D0 D</p>
        <p>Notion “control” is used as a process of adduction of the set object in the state, that
answers the task put. Such determination allows considering the capacity of operator
as an object of control by organizational-psychological methods, and the system of
assessment and prediction considering as a system of the operator capacity control. In
the general case of ergonomics approach to the analysis of efficiency of the system
Human-Technique-Environment (SHTE) the estimation and purpose of prognosis of
functional state and operator capacity U in SHTE is to provide maximal quality of
functioning of the system Q, which relies on the realized of operator capacity R,
organization of the system O, the state of equipment E, inter-element interface I,
dynamics of SHTE changes in time t. Such task is described as:
Û(t) = argmax Q(t) = argmax f [ R(t), O(t), E(t), I(t), t] ,</p>
        <p>Ř,Ŏ,Ě,Ĭ Ř,Ŏ,Ě,Ĭ
where Ř(t) R(t) , Ŏ(t) O(t), Ě(t) E(t), Ĭ(t) I(t).</p>
        <p>If estimation of capacity works for real Û → U, quality of functioning SHTE can
achieve the maximal value Q &gt; Q max thanks to the use of maximal operator
capacity.</p>
        <p>It was developed the system to optimize students’ work with computers in regards
to choose optimal form of learning for a particular moment with advanced proposals
for a student that gave flexibility of work in particular day accordingly to his/her
functional state (to take lectures, to work in interactive mode with computer or
teacher, to make applied tasks, to work in library, to work in Internet etc. or to delay an
active form of teaching for another time). This could give a tool to intensify the
education time by way to re-allocate efforts and to optimize a time use.</p>
        <p>The physiological mechanisms of the adaptation of a student’s activity functional
system to the education environment may vary depending on the conditions, location
and time of his/her activity. Hence, proposed approach may contribute to improve
human working conditions if it takes into account not only macroergonomic
requirements (spatial aspect of human interaction with the environment), but also
ergodynamic ones (temporal aspect). Direct or indirect measurement of possible
psychophysiological changes when learning makes it possible to review a functional state of
the student, which helps to predict his/her individual fitness and reliability for
effective learning process.</p>
        <p>Task performance measures before current learning activity should be focused on
rate and accuracy of information processing. The student's test performance, which
precedes a work with the computer system, consists in decision of the same type of
cognitive and perceptual tasks. The time and accuracy of each task performance are
registered. Task performance times produces during research a time series, which
consist in sequence of values of tasks decision time. The further analysis of time
series permits to reveal the "waves" that are induced by the regularity of fluctuation of
task performance time.</p>
        <p>Computer method allows varying flexibly the tempo, volume and complexity of
test tasks for different levels of cognitive and perceptual complexity with and without
interferences. The research method foresees to investigate and take into account the
biorhythms influence on the human behaviour and fitness for duty with periods up to
1 month.</p>
        <p>According to schedule a student came to the computerized workplace and
performed a cognitive test with the computer sub-system and got as a result a time of
his/her effective work with computer for current day. That recommended time could
be coordinated with the student’s supervisor and a real time could be changed.</p>
        <p>Electronic education gives new opportunities such as:
 flexibility of education programs – a student can choose courses, teachers, time of
active work, etc.;
 individualization of education process – re-allocate time and education resources in
dependence on a student’s individual psycho-physiological possibilities to make
this process more intensive and to give equal opportunities for both common
people and people with disabilities.</p>
        <p>This advanced proposals can help a student to make a decision what type of work
in particular day is preferable accordingly to his/her functional state:
 to take lectures,
 to work in interactive mode with computer,
 to work in interactive mode with a teacher,
 to make applied tasks,
 to work in library,
 to work in Internet,
 to perform individual tasks etc.
 to delay an active form of teaching for another time.</p>
        <p>Although further work is required to gain a more complete understanding of such a
tool’s use, it is clear that this could give a student an opportunity to intensify a time
by way to re-allocate his/her effort and to optimize a time use. The main idea of such
approach is “Don’t waste a time !”. Another aspect of the same problem is an
adaptive automation of human-computer interaction in accordance with a student
functional state.</p>
        <p>The current study provides further evidence that traditionally education managers
do not analyze such opportunity to make the education process more effective,
because a student must study as it is done. This way is aimed to a “group norm”, but not
to an individual, especially gifted and talented.
3</p>
      </sec>
    </sec>
    <sec id="sec-3">
      <title>Networking Threats</title>
      <p>
        As it was stated [
        <xref ref-type="bibr" rid="ref14">14</xref>
        ], not so far ago a human place and role in networks could be
described as a terminal element (node) linked to other elements with its specific
interface (having human and technical parameters). Currently, when a human life and
activity has more virtual nature, information environment (network) becomes
independed factor, because process of a human presence as well as results of his/her
activity loses their localization in space and in time, as well as could be affected at anytime
and anywhere. Even more, those results could «live» inside the network «infinitely»,
because technical resources holding them are distributed, flexible and supported
continuously.
      </p>
      <p>
        Recommendations for improving a human psychophysiological security have been
developed and described [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]. The further development of ergonomics criteria could be
developed accounting the new human activity nature and a multiaspect ergonomic
analysis [
        <xref ref-type="bibr" rid="ref16 ref18">16, 18</xref>
        ].
      </p>
      <p>
        Active usage of networks, especially by children and youth, is accompanying by
increase of different kind of threats coming from networks. Particularly acute this
problem obtained with development and use of social networks. Most active hidden
threats (for children) emanating from the computer network, stacked in the following
classification scheme [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ]:
 Viruses attacks.
 Cyber-crime (spamming, carding, phishing, botnets etc.).
 Threats from network-surfing (cyber-bulling, “adult” content, illegal content,
online violence, disclosure of private information, pay services etc.).
It is recommended considering the interaction between schoolchildren and students
with computer network as the system "Human-technique-environment" [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ]. In this
system, computer network serves as a machine that allows us to consider the impact
of the network on a human as a threat coming from the machine. Accordingly, the
concept of "network effect" can be revealed through the concept of "operator error
and reducing the quality of operator activity', 'impact of computer games" and
"Internet addiction".
      </p>
      <p>Threats coming from networks can be classified into the following types: active
and passive, overt and hidden, current and deferred.</p>
      <p>Using ergonomic approach and methodology, it is possible to evaluate active
hidden dangers as a hierarchical set of indicators:
 one integrated (complex) index - the level of danger as a result of a computer
network; index is a dimensionless quantity and is on the upper level assessment
system;
 group of three indicators - levels of hazards caused by virus attacks, cyber-crime or
internet surfing; indicators are dimensionless quantities and are at average levels of
the system assessments;
 a set of individual indicators of the group of one or set of threats; indicators are
also dimensionless quantities and are on the lower level grading system.</p>
      <p>From educational domain context, target groups of CS could be classified as
follows:
 Students as operators
 Educators
 Children/Yourth (in general)
 Population (in general, as social environment for children).</p>
      <p>
        The human view regards CS could be a fruitful approach to define tasks, resources
and ways of solution the above mentioned challenges [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ].
      </p>
      <p>Human View – constraint.</p>
      <p>If a system requires a human interface, then the system must be designed to
accommodate the human as a passive and as an active element, creating sub-system for
safety both for and from a human.</p>
      <p>Human View – functions.</p>
      <p>Provide a justification for the allocation of tasks and functions between the humans
and machines depending on a human current status and capability.</p>
      <p>Human View – role.</p>
      <p>Describes the roles that have been defined for the human interacting with the
system and their possible changes over mission time (f.e., from simple executor to leader
and/or commander) accounting his competencies, ability for tasks generation,
leadership etc.</p>
      <p>Human View - human network.</p>
      <p>Team performance impacts, re-allocation, dependencies and communication.</p>
      <p>These views should be a basis ergonomically grounded for design and creation new
and safety educational tools.
Digital life and activity gives new opportunities for people and new problems in
different domains including education.</p>
      <p>Broader understanding of the promise and pitfalls of learning technologies and
working (learning/teaching) environments in global education/development settings
could be useful with special regard to the human as a subject in the system and to the
collaboration of humans and technical, didactic and organizational subsystems.</p>
      <p>Global changes in education aimed at ensuring the transition from the
postindustrial to a digital era as well as to knowledge society when human individual
cognitive and creative abilities become crucial for the further development of
mankind.</p>
      <p>Psycho-physiological model of learning and cognitive abilities development could
be a basis for more effective design of learning organization and process.</p>
      <p>They are proposed to discussion: identification of areas in which coordinated
research efforts are required to expand an understanding of these network technologies,
their effectiveness, the potential risks, and the potential benefits of new ways to
educate, learn and collaborate.</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          1.
          <string-name>
            <surname>Anokhin</surname>
            ,
            <given-names>P.K.</given-names>
          </string-name>
          :
          <article-title>Principle questions of the general theory of functional system. Principles of the system organization of function</article-title>
          .
          <source>Science</source>
          , Moscow, Russian Federation (
          <year>1973</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          2.
          <string-name>
            <surname>Reshetyuk</surname>
            <given-names>A.L.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Burov</surname>
            <given-names>О</given-names>
          </string-name>
          .
          <article-title>Yu, Polyakov О</article-title>
          .А. et al.:
          <article-title>Automation of experiment for psychophysiological research in work physiology</article-title>
          .
          <source>Ministry of Health of Ukraine</source>
          , Kiev,
          <volume>11</volume>
          (
          <year>1993</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          3.
          <string-name>
            <surname>Bednar</surname>
            ,
            <given-names>A.K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Duffy</surname>
            ,
            <given-names>T.M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Perry</surname>
            ,
            <given-names>J.D.</given-names>
          </string-name>
          :
          <article-title>Theory into practice: How do we link</article-title>
          ? In: Duffy,
          <string-name>
            <given-names>T.</given-names>
            ,
            <surname>Jonassen</surname>
          </string-name>
          ,
          <string-name>
            <surname>D</surname>
          </string-name>
          . (Eds.):
          <article-title>Constructivism and the technology of instruction: A conversation</article-title>
          , pp.
          <fpage>17</fpage>
          --
          <lpage>34</lpage>
          , Erlbaum, Hillsdale, NJ, USA (
          <year>1992</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          4.
          <string-name>
            <surname>Burov</surname>
          </string-name>
          , А.:
          <article-title>Evaluation of functional state of operators on parameters of mental serviceability</article-title>
          .
          <source>Human Physiology</source>
          ,
          <volume>2</volume>
          ,
          <fpage>29</fpage>
          --
          <lpage>36</lpage>
          (
          <year>1986</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          5.
          <string-name>
            <surname>Burov</surname>
            ,
            <given-names>O.</given-names>
          </string-name>
          :
          <article-title>Ergonomics, functional state and human fitness-for-duty</article-title>
          .
          <source>Zastosowania Ergonomii</source>
          .
          <volume>1-3</volume>
          (
          <fpage>57</fpage>
          -
          <lpage>59</lpage>
          ),
          <fpage>203</fpage>
          --
          <lpage>214</lpage>
          (
          <year>2005</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          6.
          <string-name>
            <surname>Burov</surname>
            ,
            <given-names>O.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Tsarik</surname>
            ,
            <given-names>O.</given-names>
          </string-name>
          :
          <article-title>Educational workload and its psychophysiological impact on student organism</article-title>
          .
          <source>Work</source>
          ,
          <volume>41</volume>
          (
          <issue>1</issue>
          ),
          <fpage>896</fpage>
          --
          <lpage>899</lpage>
          (
          <year>2012</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          7.
          <string-name>
            <surname>Burov</surname>
          </string-name>
          , О. Ju. (ed.):
          <article-title>Dynamics of development of intellectual abilities of gifted person in teenagers</article-title>
          . Tov «Informacijni systemy»,
          <source>Kyiv</source>
          (
          <year>2012</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          8.
          <string-name>
            <surname>Burov</surname>
          </string-name>
          , О.Ju.: Educational Networking:
          <article-title>Human View to Cyber Defense</article-title>
          .
          <source>Institute of Information Technologies and Learning Tools</source>
          ,
          <volume>52</volume>
          ,
          <fpage>144</fpage>
          --
          <lpage>156</lpage>
          (
          <year>2016</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          9.
          <string-name>
            <surname>Burov</surname>
            ,
            <given-names>O. Virtual</given-names>
          </string-name>
          <string-name>
            <surname>Life</surname>
          </string-name>
          and
          <article-title>Activity: New Challenges for Human Factors/Ergonomics</article-title>
          . In
          <source>: Proc. Symposium "Beyond Time and Space"</source>
          ,
          <source>STO-MP-HFM-231. STO NATO</source>
          , pp.
          <fpage>8</fpage>
          -
          <lpage>1</lpage>
          --
          <fpage>8</fpage>
          <issue>- 8</issue>
          (
          <year>2014</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref10">
        <mixed-citation>
          10.
          <string-name>
            <surname>Sternberg</surname>
            ,
            <given-names>R.J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Davidson</surname>
            ,
            <given-names>J. E.</given-names>
          </string-name>
          :
          <source>Conceptions of Giftedness. 2nd Edition</source>
          . Clark College, Portland, USA (
          <year>2005</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref11">
        <mixed-citation>
          11.
          <article-title>Future of education: lessons uncertainty (Abstracts of the World Economic Forum in Davos)</article-title>
          . online: http://biz.liga.net/upskill/all/stati/3225018-budushchee-obrazovaniya-urokineopredelennosti.
          <source>htm</source>
          (
          <year>2016</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref12">
        <mixed-citation>
          12.
          <string-name>
            <surname>Gagné</surname>
            ,
            <given-names>F.</given-names>
          </string-name>
          :
          <article-title>Transforming Gifts into Talents: The DMGT as a Developmental Theory</article-title>
          . In Colangelo, N.,
          <string-name>
            <surname>Davis</surname>
            ,
            <given-names>G. A</given-names>
          </string-name>
          . (Eds.):
          <article-title>Handbook of gifted education (3rd ed</article-title>
          .), pp.
          <fpage>60</fpage>
          -
          <lpage>74</lpage>
          , Allyn and Bacon, Boston, USA (
          <year>2003</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref13">
        <mixed-citation>
          13.
          <string-name>
            <surname>Horowitz</surname>
            ,
            <given-names>F. D.:</given-names>
          </string-name>
          <article-title>A developmental view of giftedness</article-title>
          .
          <source>Gifted Child Quarterly</source>
          ,
          <volume>31</volume>
          (
          <issue>4</issue>
          ),
          <fpage>165</fpage>
          --
          <lpage>168</lpage>
          (
          <year>1987</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref14">
        <mixed-citation>
          14.
          <string-name>
            <surname>Kleinberg</surname>
            ,
            <given-names>J.:</given-names>
          </string-name>
          <article-title>Analysis of large-scale social and information networks</article-title>
          .
          <source>Philosophical Transactions of the Royal Society, A</source>
          ,
          <volume>371</volume>
          ,
          <fpage>1471</fpage>
          --
          <lpage>2962</lpage>
          (
          <year>2013</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref15">
        <mixed-citation>
          15.
          <string-name>
            <surname>SEC's Anonymous FTP Server (Solar-Geophysical</surname>
            <given-names>Data</given-names>
          </string-name>
          ). online: http://sec.noaa.gov/ftpmenu/lists/ace2.html
        </mixed-citation>
      </ref>
      <ref id="ref16">
        <mixed-citation>
          16.
          <string-name>
            <surname>Pacholsky</surname>
            ,
            <given-names>L.:</given-names>
          </string-name>
          <article-title>A new methodological paradigm of a multiaspect ergonomic analysis</article-title>
          . In: Pacholski,
          <string-name>
            <given-names>L.M.</given-names>
            ,
            <surname>Marcinkowski</surname>
          </string-name>
          ,
          <string-name>
            <given-names>J.S.</given-names>
            ,
            <surname>Horst</surname>
          </string-name>
          , W.M. (eds.):
          <article-title>Dilemmas and issues of modern ergonomics and work safety education and researches</article-title>
          , pp.,
          <fpage>413</fpage>
          --
          <lpage>426</lpage>
          , Poznan, Poland (
          <year>2004</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref17">
        <mixed-citation>
          17.
          <string-name>
            <surname>Raspopovic</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Cvetanovic</surname>
            ,
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Jankulovic</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          :
          <article-title>Challenges of Transitioning to e-learning System with Learning Objects Capabilities</article-title>
          .
          <source>The International Review of Research in Open and Distributed Learning</source>
          ,
          <volume>17</volume>
          (
          <issue>1</issue>
          ) (
          <year>2016</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref18">
        <mixed-citation>
          18.Wilson,
          <string-name>
            <given-names>J. R.</given-names>
            ,
            <surname>Carayon</surname>
          </string-name>
          ,
          <string-name>
            <surname>P.</surname>
          </string-name>
          :
          <article-title>Systems ergonomics: Looking into the future -</article-title>
          <source>Editorial. Sp. I. on systems ergonomics/human factors. Applied Ergonomics</source>
          ,
          <volume>45</volume>
          (
          <issue>1</issue>
          ),
          <fpage>3</fpage>
          --
          <lpage>4</lpage>
          (
          <year>2014</year>
          )
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>