Education of Energy Engineers in the Context of Lifelong Learning
Ilona Batsurovska
a
Mykolayiv National Agrarian University, 9 Georgya Gongadze Str., Mykolayiv, 54020, Ukraine
Keywords:
Education, Energy Engineers, Lifelong Learning.
Abstract:
This article is devoted to analyzing the importance of lifelong learning for energy engineers. The problem
of the insufficient number of qualified specialists in the field of energy engineering is considered, as well as
the fact that the educational system cannot always meet the needs of the labour market. The paper examines
opportunities for improving the education system to provide skilled workers for the energy industry, including
lifelong learning. A study of energy professionals found that lifelong learners scored higher in various aspects
of professional performance, such as work efficiency, creativity and innovation. The article also carries out a
comparative analysis of the average annual income of energy specialists depending on the level of education.
The results showed that professionals with a higher education have a significantly higher average income
compared to those with only a secondary education. The influence of education on the career development
of specialists and their income has been studied. In the work, a survey was conducted among specialists with
higher education and specialists with secondary education who work in the field of energy. The results of the
study showed that specialists with higher education have a higher average annual income and a wider range
of knowledge, which is important for their career development. In addition, it was established that lifelong
learning has a significant impact on improving the qualifications of specialists in the field of energy and their
competitiveness in the labour market. The results of this study can be useful for managers of companies in the
energy sector who plan to develop their personnel and increase the competitiveness of their company.
1 INTRODUCTION
Education is an important factor for the development
of any industry, including energy engineering. In re-
cent years, the importance of education in this field is
growing, since energy is a key component of sustain-
able development, technological progress and com-
petitiveness of the country as a whole. Improving the
qualifications and professional development of spe-
cialists in the field of energy is important to ensure
the proper level of efficiency and quality of work in
this field. It is especially important to develop the
education of energy engineers in the context of life-
long learning, which meets the requirements of mod-
ern times and provides a change in the approach to
defining education as a process that does not end with
obtaining a diploma. Information development and
rapid technological progress in the energy industry re-
quire energy engineering specialists to constantly up-
date their knowledge and skills. Also, labour market
requirements for qualifications and personnel reserve
change over time, which requires energy specialists
a
https://orcid.org/0000-0002-8407-4984
to increase their level of education. In this regard, it
becomes relevant to study the peculiarities of the ed-
ucation of energy engineers in the context of lifelong
learning and to study effective forms and methods of
professional development. This article will consider
the peculiarities of the education of energy engineers
in the context of lifelong learning, as well as analyze
the results of research on the effectiveness of various
forms and methods of professional development.
The problem is that energy engineers need life-
long learning to ensure the sustainability of energy
production and to meet the needs and demands of the
labour market. However, many energy engineers do
not have the opportunity to receive a sufficient level of
education throughout their lives, which can lead to in-
sufficient competence and efficiency of work, as well
as lagging behind innovations and new technologies,
which can have a negative impact on the sustainabil-
ity and quality of energy production. Also, insuffi-
cient development of interpersonal skills and leader-
ship qualities can lead to ineffective communication
and cooperation between energy workers and other
specialists. It is necessary to find ways to ensure af-
fordable and effective lifelong learning of energy en-
Batsurovska, I.
Education of Energy Engineers in the Context of Lifelong Learning.
DOI: 10.5220/0012645500003737
Paper published under CC license (CC BY-NC-ND 4.0)
In Proceedings of the 4th International Conference on History, Theory and Methodology of Learning (ICHTML 2023), pages 5-12
ISBN: 978-989-758-579-1; ISSN: 2976-0836
Proceedings Copyright © 2024 by SCITEPRESS Science and Technology Publications, Lda.
5
gineers in order to ensure the sustainability and qual-
ity of energy production and respond to the challenges
and needs of the labour market.
The purpose of the article is to research and de-
scribe the forms of education available to energy en-
gineers in the context of lifelong learning and to de-
termine their importance for ensuring the sustainable
development of the energy industry. The article also
aims to consider the problems that arise in the pro-
cess of education of energy workers and to propose
possible ways to solve them.
2 LITERATURE REVIEW
The findings suggested that the optimum regression
model for predicting lifetime learning competencies
may include area, teaching experience, perception of
lifelong learning, and learning strategies (Thwe and
K
´
alm
´
an, 2023b). In the study, shared and private
latent representations, which are acquired by synap-
tic intelligence, are used to explore a novel lifelong
learning strategy (Yang et al., 2023). Also, there were
offered suggestions for the creation and application
of metrics to direct the ongoing development of life-
long learning systems and evaluated their evolution in
the future (Baker et al., 2023). The investigation out-
lines the challenge of continuously adapting lifelong
learning problems (Galke et al., 2023). The study
of the phenomenon of lifelong learning had signifi-
cance for both academics researching as well as for
tutors looking to enhance of educational techniques
(Li et al., 2021). Even though experiences over a life-
time are sequentially sampled from changing (non-
stationary) environments, one notable aspect of this
type of learning is that people may quickly adjust
to changes while holding on to previous knowledge.
Many modern machine learning methods, in contrast,
rely on independent, identically dispersed data (Pisu-
pati and Niv, 2022). Although instructors already em-
ploy a variety of tactics to help students develop their
competences, the findings show that there is a need to
raise awareness of the impact of tutors (Landberg and
Partsch, 2023). The use of contemporary informa-
tion and communication technologies (ICT) for stu-
dents in the context of lifelong learning is examined
from certain theoretical and methodological perspec-
tives (Viktorova et al., 2018).
The study covers new and developing technolo-
gies in education, learning environments, and ap-
proaches that must satisfy lifetime learning, from
school age to retirement. It includes advice on cur-
riculum design, day-to-day support for individual
learners’ learning, evaluation of a human learning
environment and performance, recommendation re-
garding vocational retraining and/or further career,
and evaluation of a human’s abilities and individ-
ual propensities (taking into account schoolchildren,
youth, and adults features) (Burov, 2016). The moti-
vation for lifelong learning basis on the precise expla-
nation of the actual opportunities for advancement in
the field (Derkach et al., 2021). There were revealed
the guidelines that must be followed in the process of
lifelong learning, including professional orientation,
subjectivity, priority of active teaching methods, in-
teractive technologies, and self-awareness (Sultanova
et al., 2021). One of the most powerful tools in the
context of lifelong learning could be online learning
platforms and their technological application in en-
ergy engineering education (Dotsenko, 2022) as well
as implementation of interactive tutorials for electri-
cal and general technical engineering disciplines in
the online environment (Dotsenko, 2021). To cre-
ate an awareness of concern for education, theoreti-
cal discourses in environmental and sustainability ed-
ucation research will were presented (Peters et al.,
2020). The learner model is a user learning pattern
that can be constantly modelled in the context of life-
long learning based on user interaction with diverse
sources. What kind of information needs to be saved
in the learner model and how information granular-
ity is involved are the primary problems with life-
long learner model design (Nurjanah, 2018). The goal
of the lifetime machine learning paradigm, such as
the knowledge library or deep network weights, is to
learn a series of tasks based on prior experiences (Sun
et al., 2022).
The lifelong learning in the context of energy
engineering education has some peculiarities. The
study’s goals were to: manage the integrated learning
activities for professional teaching practice support-
ing energy engineering education, develop and evalu-
ate an instructional package on fundamental electric
circuits, and gauge the level of student satisfaction
(Chumchuen et al., 2020). Using some specified In-
ternet services in the field of energy engineering dur-
ing e-learning allows students to complete lab assign-
ments and microprocessor system design practicums
without the need for physical equipment, and the
strategies provided by the authors ensure that stu-
dents have a high level of awareness in this area (Gol-
ubev et al., 2023). The examination of current tech-
niques to testing method fuzzy assessment for eval-
uating multilevel test tasks, together with its benefits
and drawbacks, is provided (Tsidylo et al., 2021). The
study offers an analysis of how virtual reality (VR)
and augmented reality (AR) technology are used in
education (Semerikov et al., 2021). The study con-
ICHTML 2023 - International Conference on History, Theory and Methodology of Learning
6
firms the mediating effects of lifelong learning on the
connection between educational mismatch and work
satisfaction (Park and Luo, 2022). The research is
outlined lifetime learning abilities, lifelong learning
conceptual framework or policies, and lifelong learn-
ing influencing elements and/or lifelong learning con-
ceptual framework (Thwe and K
´
alm
´
an, 2023a). Since
social development and lifetime education are inti-
mately intertwined, the popularity of lifelong educa-
tion will undoubtedly help to advance social develop-
ment (Li, 2023).
Overall, the results unambiguously show that
monetary rewards do increase individuals’ participa-
tion in lifetime learning. When offered a financial in-
centive, people with greater incomes, education lev-
els, and genders are more likely to participate in life-
long learning activities (Vanderkooy et al., 2019).
For the perceived requirement for labor market
flexibility, there are some theories about the neces-
sity of changing the labor force in response to mar-
ket fluctuations and reducing labor costs and raising
productivity due to increased competition (Ka, 2023).
Engineers stand out as catalysts for innovation and
internationalization because they were at the cutting
edge of technological expertise and developed novel
ideas for products with a promising economic future
abroad (Nevers et al., 2023).
There were examined the issues related to the
impact of higher education’s current COVID-19 re-
sponse on students in technology, engineering, and
mathematics. The virtual seminars gave participants
from a variety of institutions the chance to exchange
ideas and experience (National Academies of Sci-
ences, Engineering, and Medicine, 2021).
The purpose of the study was to comprehend and
evaluate the driving forces behind students’ decisions
to major in energy engineering or electromechanical
engineering. The findings demonstrate that students
place a high emphasis on the area’s high employabil-
ity and wide range of prospective professional pur-
suits (Monteiro et al., 2022). The paper provides an
example of the use of virtual instruments in the edu-
cation of energy engineers (Knezevic et al., 2022).
There were examined the technology of applica-
tion of 3D models of electrical engineering in the per-
forming laboratory work (Batsurovska et al., 2022)
and the impact of massive open online courses in the
system of e-learning of masters in electrical and en-
ergy engineering (Batsurovska, 2021), but the edu-
cation of energy engineers in the context of lifelong
learning was not the subject of special research.
3 METHODS
The research methodology involved the use of the fol-
lowing research methods:
1. Analysis of scientific literature – review and anal-
ysis of scientific studies, articles, monographs and
other sources related to the education of energy
engineers.
2. Expert survey survey of energy and education
experts in order to obtain additional data and eval-
uate various forms of education.
3. Data analysis collection and analysis of data
on various forms of education, including courses,
trainings, workshops, online courses, distance
programs, etc., as well as evaluation of the effec-
tiveness of these forms of education.
4. Study of experience analysis of the experi-
ence of countries with a highly developed energy
sector, study of their training programs and ap-
proaches to improving the qualifications of spe-
cialists.
5. Survey – conducting a survey among energy engi-
neers with the aim of determining their needs for
advanced training and experience in using various
forms of training.
Each of these research methods can help to obtain
the necessary data for the development of the article
and draw conclusions about the importance of contin-
uous professional development of energy profession-
als and available forms of training.
4 EDUCATION OF ENERGY
ENGINEERS IN THE CONTEXT
OF LIFELONG LEARNING
Energy is one of the most rapidly changing indus-
tries in the world. Every year, technologies become
more complex and require more qualifications from
specialists. Therefore, education in the energy sector
is important not only for initial qualifications, but also
for ensuring a successful career in the future. The ed-
ucation of energy engineers begins with basic knowl-
edge in school and university, where students study
physics, mathematics, chemistry and other sciences
that are the basis of energy. After obtaining the ba-
sic knowledge, students can continue their studies in
master’s and doctoral studies, where they specialize
in a certain area of energy. However, the education of
energy engineers does not end with obtaining a uni-
versity diploma. In this field, there is a need to con-
stantly update knowledge and skills, as technology is
Education of Energy Engineers in the Context of Lifelong Learning
7
constantly evolving and changing. For this, there are a
variety of postgraduate education programs that help
energy professionals update their knowledge and de-
velop their skills.
One of the features of lifelong learning of energy
engineers is the need to be able to work with new
technologies and innovations. Energy professionals
should be able to familiarize themselves with the lat-
est developments and technologies emerging in the in-
dustry. This will allow them to use new solutions and
tools to solve problems and improve work processes.
In addition, energy engineers must be aware of the en-
vironmental and social challenges facing the energy
industry. The latest developments in the field of en-
ergy should be aimed at reducing the impact on the
environment and ensuring sustainable development.
Therefore, energy professionals must have the oppor-
tunity to learn about environmental efficiency and so-
cial responsibility to ensure the sustainability of the
industry and our planet as a whole.
Energy education throughout life can be organized
in the following scheme (figure 1):
Figure 1: The technology of online control of educational
results of the unit ”Electricity” in the conditions of blended
learning.
1. Basic education: Basics of energy, physics, math-
ematics, chemistry, computer science, mechanics
and other basic sciences. This education can be
obtained at school and higher education institu-
tions.
2. Professional education: Specialization in energy,
electrical engineering, mechanics, automation and
other specializations related to energy production
and supply. This education can be obtained in
higher education institutions, technical schools or
through vocational training.
3. Advanced training courses: courses and seminars
for obtaining new knowledge and skills in the field
of energy. They can be organized by relevant
professional organizations and educational insti-
tutions.
4. On-the-job training: Trainings, seminars and
practical classes organized by the company where
the energy engineer works. This allows you to
acquire specific knowledge and skills related to a
specific work situation.
5. Self-study: Individual efforts to learn new tech-
nologies, trends and labour market requirements.
This may include reading specialized magazines
and books, researching new technologies, and at-
tending exhibitions and conferences.
All these stages can be connected with internship,
practice and other forms of training.
The lifelong education of energy engineers is very
important due to the rapid changes in technology and
requirements for the energy industry. Since energy
is a strategically important industry, the development
of which has a great impact on the economy, ecology
and social sphere, the constant updating of knowledge
and skills is an important factor for ensuring its de-
velopment. Lifelong education for energy profession-
als can be organized at various levels, including for-
mal and informal education, certification programs,
on-the-job training, and other forms. Formal edu-
cation can include bachelor’s and master’s programs
in energy, which ensure the training of highly quali-
fied professionals for the industry. In order to meet
today’s labour market requirements and technologi-
cal challenges, such programs must provide a wide
range of knowledge in technical, economic and so-
cial sciences, as well as develop the skills necessary
for work in the energy industry. On-the-job training
can be used to improve the knowledge and skills of
professionals already working in the energy industry.
These can be trainings, seminars or training programs
that are provided directly at the workplace. These
programs help professionals update their knowledge
of the technologies and processes used in their work.
Certification programs are another form of education
that helps energy professionals maintain their compet-
itiveness in the labour market and increase their pro-
fessional competencies. Certification programs can
be aimed at increasing knowledge of certain technolo-
gies or processes, as well as studying standards and
norms that regulate activities in the energy industry.
In addition, informal education, such as indepen-
dent study and participation in specialized confer-
ences and events, can be very effective in increas-
ing the knowledge and skills of energy engineers.
These forms of training allow specialists to receive
new knowledge and ideas from leading experts in the
field, as well as share their experience with other spe-
cialists.
It is also possible to highlight some specialized
forms of training for energy engineers that help de-
velop their professional skills:
1. Master’s programs: programs specializing in spe-
cific aspects of energy, such as energy efficiency,
ICHTML 2023 - International Conference on History, Theory and Methodology of Learning
8
renewable energy, energy systems, energy secu-
rity, etc. These programs may be available to
graduates of undergraduate programs who wish to
specialize in the field of energy.
2. Engineering training courses: intensive courses
that allow energy professionals to familiarize
themselves with specific technical aspects of en-
ergy. Such courses can be useful for those who
have a basic education in the field of energy, but
want to gain more depth of knowledge in a spe-
cific area.
3. Online courses and webinars: such courses can
be useful for energy professionals who do not
have the opportunity to attend traditional classi-
cal courses or who want to study a specific topic
at a time convenient for them. They can be free
or paid and provided on MOOC platforms such
as Coursera or edX, or on the websites of profes-
sional organizations.
4. Certification programs: there are programs that
provide professional training certificates that con-
firm skills and knowledge in a specific area of en-
ergy. These certifications can help energy profes-
sionals find work or advance in careers.
5. On-the-job training programs: trainings, semi-
nars, or training programs that are provided di-
rectly at the workplace. They can be useful for
those who already work in the energy industry and
want to improve their professional skills.
6. Educational programs with international coopera-
tion: programs that provide an opportunity for en-
ergy workers to gain international experience in
the field of energy and to familiarize themselves
with global trends. Such programs may be avail-
able to students, faculty, or energy professionals
and typically include training, internships, and re-
search in other countries.
7. Upskilling programs: programs that help energy
professionals increase their skill levels and gain
new skills that are needed in today’s energy in-
dustry. Such programs may be available to those
who already have a certain level of professional
training in the field of energy.
Lifelong education of energy engineers is impor-
tant to ensure the sustainable development of the en-
ergy industry. In order to ensure effective operation
and support the development of energy systems, en-
ergy engineers must constantly improve their knowl-
edge and skills.
5 RESULTS
There is developed a study on the quality of work of
energy engineers depending on the level of education.
It was conducted a comparative analysis of the av-
erage annual income of energy specialists depending
on the level of education. For a comparative statisti-
cal analysis of the average annual income of energy
specialists depending on the level of education, there
was taken two groups: specialists with higher educa-
tion and specialists with secondary education. Data
on average annual income are taken from a survey
of 1000 energy professionals. The calculation was
started with collecting samples and defining their pa-
rameters (Dong, 2023).
1. Sample of specialists with higher education:
Sample size (n
1
) = 500;
Average income (x
1
) = 80 000 UAH/year;
Standard deviation (s
1
) = 15 000 UAH/year.
2. Sample of specialists with secondary education:
Sample size (n
2
) = 500;
Average income (x
2
) = 50 000 UAH/year;
Standard deviation (s
2
) = 10 000 UAH/year.
Next, there was tested the hypothesis of equality
of means using the Student’s t-test.
1. It is formulated the null hypothesis H
0
: x
1
= x
2
(average incomes in both groups are equal).
2. Alternative hypothesis H
1
: x
1
6= x
2
(average in-
comes in both groups are not equal)
3. It is set the significance level α = 0.05
4. It is calculated the value of the t-statistic:
t =
s
x
1
x
2
s
12
n
1
+
s
22
n
2
26.23,
where s
12
, s
22
dispersions of the corresponding
samples.
5. It is found the critical value of t. To find the crit-
ical value of t, it is necessary to use the table of
values of the Student’s distribution. The number
of degrees of freedom for our case is 998.
At a significance level of 0.05 and 998 degrees of
freedom, the critical t value is approximately 1.962.
So, if the calculated t-statistic is greater than 1.962,
then the difference in average incomes is statistically
significant at the 0.05 significance level.
Continuing the previous calculation, we will also
find a 95% confidence interval for the difference in
the average incomes of the two groups:
Education of Energy Engineers in the Context of Lifelong Learning
9
Standard error of the difference in mean incomes:
SE =
s
s
2
1
n
1
+
s
2
2
n
2
= 0.556
Confidence interval for the difference in aver-
age incomes: CI = (x
1
x
2
)(t(
α
2
, ν) × SE) =
(88.42 71.38) ± (1.96 × 0.556) = 17.04 ±
1.090 = (15.95, 18.13).
So, with a 95% confidence level, the difference
in average income between energy specialists with
higher and secondary education is from 15.95 thou-
sand to 18.13 thousand UAH per year. This interval
does not contain zero, which indicates a statistically
significant difference between the two groups of spe-
cialists. Therefore, it can be argued that specialists
with higher education have on average a higher in-
come than specialists with secondary education.
6 CONCLUSION
The lifelong education of energy engineers is very im-
portant, since the energy industry is constantly chang-
ing and requires more qualifications from special-
ists. Energy professionals must constantly update
their knowledge and skills, familiarize themselves
with new technologies and develop in environmen-
tal and social responsibility to ensure the sustainabil-
ity of the industry and its development. To achieve
these goals, it is necessary to provide access to a va-
riety of educational resources and initiatives, such as
courses, seminars, webinars and other forms of ed-
ucation. Thus, lifelong education of energy engi-
neers is important not only for the development of
a professional career, but also for ensuring the sus-
tainability of the energy sector and the sustainable
development of our planet. Companies and govern-
ments should promote access to a variety of training
resources and initiatives to ensure that energy work-
ers are trained according to their needs and the de-
mands of today’s labour market. Energy engineers
are interested in their professional development and
are able to actively use opportunities for training and
self-improvement. Lifelong learning can help energy
professionals in various aspects of their work, includ-
ing the development of new technologies, effective
solving of problems, promoting sustainable develop-
ment and reducing environmental impact. Lifelong
education for energy engineers can also provide them
with more opportunities for professional growth and
career development. With the changes taking place in
the energy industry, such as the increasing popularity
of renewable energy and the reduction of hydrocar-
bon consumption, the lifelong learning of energy pro-
fessionals is especially important. Energy engineers
must be ready for change and develop new knowledge
and skills to meet the challenges facing the energy in-
dustry.
Further developments in energy education re-
search could be aimed at examining the effectiveness
of different learning formats, such as online courses
and webinars, compared to traditional forms of learn-
ing. It is also possible to study the impact of the use of
the latest technologies, such as artificial intelligence
and the Internet of Things, on the process of training
and upgrading the qualifications of energy workers.
In addition, it is possible to investigate the effective-
ness of various training programs and the organization
of training courses depending on the specialization of
specialists, their level of training and other factors.
REFERENCES
Baker, M. M., New, A., Aguilar-Simon, M., Al-
Halah, Z., Arnold, S. M., Ben-Iwhiwhu, E.,
Brna, A. P., Brooks, E., Brown, R. C., Daniels,
Z., Daram, A., Delattre, F., Dellana, R., Eaton,
E., Fu, H., Grauman, K., Hostetler, J., Iqbal,
S., Kent, C., Ketz, N., Kolouri, S., Konidaris,
G., Kudithipudi, D., Learned-Miller, E., Lee, S.,
Littman, M. L., Madireddy, S., Mendez, J. A.,
Nguyen, E. Q., Piatko, C., Pilly, P. K., Ragha-
van, A., Rahman, A., Ramakrishnan, S. K., Rat-
zlaff, N., Soltoggio, A., Stone, P., Sur, I., Tang,
Z., Tiwari, S., Vedder, K., Wang, F., Xu, Z.,
Yanguas-Gil, A., Yedidsion, H., Yu, S., and Val-
labha, G. K. (2023). A domain-agnostic ap-
proach for characterization of lifelong learning
systems. Neural Networks, 160:274–296. https:
//doi.org/10.1016/j.neunet.2023.01.007.
Batsurovska, I. (2021). Massive Open Online Courses
in the System of E-learning of Masters in Elec-
trical Engineering. In 2021 IEEE International
Conference on Modern Electrical and Energy
Systems (MEES), pages 1–4. https://doi.org/10.
1109/MEES52427.2021.9598641.
Batsurovska, I. V., Dotsenko, N. A., Soloviev, V. N.,
Lytvynova, S. H., Gorbenko, O. A., Kim, N. I.,
and Haleeva, A. P. (2022). Technology of ap-
plication of 3D models of electrical engineering
in the performing laboratory work. CTE Work-
shop Proceedings, 9:323–335. https://doi.org/
10.55056/cte.123.
Burov, O. (2016). Individual abilities and lifelong
learning. Information Technologies and Learn-
ICHTML 2023 - International Conference on History, Theory and Methodology of Learning
10
ing Tools, 55(5):1–11. https://doi.org/10.33407/
itlt.v55i5.1487.
Chumchuen, N., Klinbumrung, K., and Meesomk-
lin, S. (2020). Professional Teaching Practice
Through MIAP based Integrated Learning Ac-
tivities for Electrical Engineering Education. In
2020 5th International STEM Education Confer-
ence (iSTEM-Ed), pages 95–98. https://doi.org/
10.1109/iSTEM-Ed50324.2020.9332796.
Derkach, T., Kolodyazhna, A., and Shuhailo, Y.
(2021). Psychological factors motivating the
choice of university entrants. SHS Web of Con-
ferences, 104:02001. https://doi.org/10.1051/
shsconf/202110402001.
Dong, Y. (2023). Descriptive Statistics and Its Appli-
cations. Highlights in Science, Engineering and
Technology, 47:16–23. https://doi.org/10.54097/
hset.v47i.8159.
Dotsenko, N. (2021). Implementation of Tutorials
with Interactive Elements for the Study of Gen-
eral Technical and Electrical Engineering Dis-
ciplines in the E-environment. In 2021 IEEE
International Conference on Modern Electrical
and Energy Systems (MEES), pages 1–6. https:
//doi.org/10.1109/MEES52427.2021.9598781.
Dotsenko, N. (2022). The Technology of Applica-
tion Online Learning Platforms in Electrical En-
gineering Education. In 2022 IEEE 4th Inter-
national Conference on Modern Electrical and
Energy System (MEES), pages 1–5. https://doi.
org/10.1109/MEES58014.2022.10005776.
Galke, L., Vagliano, I., Franke, B., Zielke, T., Hoff-
mann, M., and Scherp, A. (2023). Lifelong
learning on evolving graphs under the con-
straints of imbalanced classes and new classes.
Neural Networks, 164:156–176. https://doi.org/
10.1016/j.neunet.2023.04.022.
Golubev, L. P., Tkach, M. M., and Makatora, D. A.
(2023). Using Tinkercad to support online the
laboratory work on the design of microproces-
sor systems at technical university. Information
Technologies and Learning Tools, 93(1):80–95.
https://doi.org/10.33407/itlt.v93i1.4817.
Ka, H. (2023). Need for flexiblity in labour mar-
kets and labour laws. Labour. https://www.
researchgate.net/publication/370510765.
Knezevic, I., Koprivica, B., Dlabac, T., Marvu
ˇ
ci
´
c,
N., and Milovanovic, A. (2022). Integration of
virtual instrumentation in marine electrical engi-
neering education. In 9th International scientific
conference Technics and Informatics in Educa-
tion TIE 2022. 16-18 September 2022, pages
121–128. https://doi.org/10.46793/TIE22.121K.
Landberg, M. and Partsch, M. (2023). Perceptions
on and attitudes towards lifelong learning in the
educational system. Social Sciences & Humani-
ties Open, 8(1):100534. https://doi.org/10.1016/
j.ssaho.2023.100534.
Li, H., Majumdar, R., Chen, M.-R., and Ogata, H.
(2021). Goal-oriented active learning (GOAL)
system to promote reading engagement, self-
directed learning behavior, and motivation in
extensive reading. Computers & Education,
171:104239. https://doi.org/10.1016/j.compedu.
2021.104239.
Li, J. (2023). The Sustainable Development of Life-
long Learning in China. In Sustainable Ed-
ucation Policy Development in China: Chal-
lenges and Strategies, pages 105–126. Springer
Nature, Singapore. https://doi.org/10.1007/
978-981-99-1191-2
6.
Monteiro, F., Monteiro Pereira, R. M., and Pereira, A.
J. C. (2022). Comparison Between Electrome-
chanical Engineering and Electrical Engineering
Students in the Motivation to Choose the Higher
Education Study Field. WSEAS Transactions
on Advances in Engineering Education, 19:133–
140. https://doi.org/10.37394/232010.2022.19.
14.
National Academies of Sciences, Engineering, and
Medicine (2021). Undergraduate and Graduate
STEM Students’ Experiences During COVID-
19: Proceedings of a Virtual Workshop Se-
ries. The National Academies Press, Washing-
ton, DC. https://doi.org/10.17226/26024.
Nevers, J., Jensen, K., and Pedersen, M. (2023). En-
gineer capitalism in the Danish business system.
Business History, pages 1–21. https://doi.org/10.
1080/00076791.2023.2181956.
Nurjanah, D. (2018). LifeOn, a ubiquitous life-
long learner model ontology supporting adap-
tive learning. In 2018 IEEE Global Engineering
Education Conference (EDUCON), pages 866–
871. https://doi.org/10.1109/EDUCON.2018.
8363321.
Park, K. H. and Luo, N. (2022). Relationship be-
tween educational mismatches and job satisfac-
tion: evidence from Korean young employees’
lifelong learning. European Journal of Train-
ing and Development. https://doi.org/10.1108/
EJTD-02-2022-0013.
Peters, A.-K., Bengtsson, S., Cajander,
˚
A., Daniels,
M., Grande, V., L
¨
onngren, J., and Salminen-
Karlsson, M. (2020). Care ethics to develop
computing and engineering education for sus-
tainability. In 2020 IEEE Frontiers in Education
Education of Energy Engineers in the Context of Lifelong Learning
11
Conference (FIE), pages 1–4. https://doi.org/10.
1109/FIE44824.2020.9274188.
Pisupati, S. and Niv, Y. (2022). The challenges of life-
long learning in biological and artificial systems.
Trends in Cognitive Sciences, 26(12):1051–
1053. https://doi.org/10.1016/j.tics.2022.09.022.
Semerikov, S. O., Mintii, M. M., and Mintii, I. S.
(2021). Review of the course “Development
of Virtual and Augmented Reality Software” for
STEM teachers: implementation results and im-
provement potentials. In Lytvynova, S. H. and
Semerikov, S. O., editors, Proceedings of the
4th International Workshop on Augmented Re-
ality in Education (AREdu 2021), Kryvyi Rih,
Ukraine, May 11, 2021, volume 2898 of CEUR
Workshop Proceedings, pages 159–177. CEUR-
WS.org. https://ceur-ws.org/Vol-2898/paper09.
pdf.
Sultanova, L., Khomych, L., Tsiuniak, O., and Roma-
niuk, O. (2021). Structural and functional model
of developing pedagogical skills of teachers of
economics in master’s degree programmes. SHS
Web of Conferences, 104:02013. https://doi.org/
10.1051/shsconf/202110402013.
Sun, G., Cong, Y., Wang, Q., Zhong, B., and Fu,
Y. (2022). Representative Task Self-Selection
for Flexible Clustered Lifelong Learning. IEEE
Transactions on Neural Networks and Learning
Systems, 33(4):1467–1481. https://doi.org/10.
1109/TNNLS.2020.3042500.
Thwe, W. and K
´
alm
´
an, A. (2023a). Lifelong
Learning in the Educational Setting: A Sys-
tematic Literature Review. The Asia-Pacific
Education Researcher. https://doi.org/10.1007/
s40299-023-00738-w.
Thwe, W. and K
´
alm
´
an, A. (2023b). The regres-
sion models for lifelong learning competencies
for teacher trainers. Heliyon, 9:e13749. https:
//doi.org/10.1016/j.heliyon.2023.e13749.
Tsidylo, I. M., Semerikov, S. O., Gargula, T. I.,
Solonetska, H. V., Zamora, Y. P., and Pikilnyak,
A. V. (2021). Simulation of intellectual system
for evaluation of multilevel test tasks on the ba-
sis of fuzzy logic. CTE Workshop Proceedings,
8:507–520. https://doi.org/10.55056/cte.304.
Vanderkooy, A., Regier, E., and Lilly, M. (2019). In-
vesting in Inclusive Growth: A Systematic Re-
view of the Role of Financial Incentives to Pro-
mote Lifelong Learning. Educational Research
Review, 27:176–190. https://doi.org/10.1016/j.
edurev.2019.03.004.
Viktorova, L. V., Kocharian, A. B., and Korotun,
O. O. (2018). Information and communication
technologies in foreign language education for
the “third age” learners. Information Technolo-
gies and Learning Tools, 63(1):22–35. https:
//doi.org/10.33407/itlt.v63i1.1940.
Yang, Y., Huang, J., and Hu, D. (2023). Lifelong
learning with Shared and Private Latent Repre-
sentations learned through synaptic intelligence.
Neural Networks, 163:165–177. https://doi.org/
10.1016/j.neunet.2023.04.005.
ICHTML 2023 - International Conference on History, Theory and Methodology of Learning
12