eKhSuir
Інституційний репозитарій Херсонського державного університету
Ласкаво просимо до eKhSuir — електронного сховища наукових, навчальних і методичних напрацювань Херсонського державного університету. Репозитарій створений з метою накопичення, збереження та надання відкритого доступу до результатів інтелектуальної діяльності викладачів, дослідників, здобувачів вищої освіти та співробітників ХДУ.
У eKhSuir розміщуються:
- наукові статті, тези доповідей, звіти про дослідження;
- дисертації, автореферати, кваліфікаційні та дипломні роботи;
- навчальні посібники, методичні матеріали, презентації;
- публікації у збірниках та матеріали конференцій.
Мета репозитарію — забезпечити довготривале зберігання та вільний онлайн-доступ до науково-освітніх ресурсів університету, сприяти академічній прозорості, поширенню знань, розвитку відкритої науки та популяризації результатів досліджень серед української та міжнародної наукової спільноти.
Репозитарій працює на базі програмного забезпечення DSpace та підтримується Науковою бібліотекою ХДУ.
20482 results
Communities in DSpace
Select a community to browse its collections.
Recent Submissions
SPLIT CURVATURE
(2025) Kuzmich, V.; Kiosak, V.; Latysh, O.
We consider spaces with a special kind of Riemannian tensor.
It is proved that they are semisymmetric spaces. These spaces are divided
into three types and we investigate nontrivial geodesic mappings for each
type. In particular, it is proved that if these spaces admit nontrivial geodesic
mappings, then they have a constant scalar curvature.
Розглядаються простори зі спеціальним видом тензора Рімана. Доведено, що вони є півсиметричними просторами. Вказані простори
розділені на три типи і для кожного з цих типів в роботі вивчені нетривіальні геодезичні відображення. Зокрема, доведено, що якщо вказані
простори допускають нетривіальні геодезичні відображення, то вони мають сталу скалярну кривину.
ВІЗУАЛІЗАЦІЯ ОКРЕМИХ ГЕОМЕТРИЧНИХ ПОНЯТЬ ПРИ ВИВЧЕННІ МЕТРИЧНИХ ПРОСТОРІВ
(2025) Савченко, О. Г.; Кузьмич, В. І.; Кузьмич, Л. В.; Валько, К. В.
SELF-REGULATORY BEHAVIOR STYLES OF JUNIORS IN ACHIEVING WINNING OUTCOMES
(2025) Popovych, I. S.; Kryzhanovskyi, O.; Zavatskyi, V.; Tkachenko, N.; Hrytsuk, O.; Kolly-Shamne, A.; Danko, D.; Попович, І. С.
The purpose of this study is to identify the dominant styles of self-regulatory behavior among junior athletes in
their pursuit of winning outcomes. Methods: The research sample comprised juniors aged 15–19 who actively
participated in sports and competed at various levels, ranging from regional contests to national championships
and international tournaments. Statistical analysis involved empirical data collected from participants who had
achieved success in individual sports and had won matches in team sports. The characteristics of the sample
population are as follows: n = 154; М = 17.34; SD = ±3.51; Мe = 17.00. The key parameters of the styles of self-
regulatory behavior, self-acceptance, the need for sports achievements, and self-efficacy in subject activity and
interpersonal communication were determined using valid and reliable psychodiagnostic tools. Results.
Pearson’s correlation coefficient (R) allowed for establishing thirteen direct correlations and one inverse
correlation of the styles of self-regulation and self-acceptance with the parameters of a winning outcome (p ≤
.050; p ≤ .010). It was found that planning as a style of junior athletes’ self-regulatory activity has all significant
direct correlations with the parameters of a winning outcome. It was established that independence is the most
essential characteristic of self-regulation in sporting activities. The absence of correlations in the parameters
“modeling” and “programming” does not reduce their value as self-regulation styles but rather reflects their
formation in our population sample. Discussion and conclusions. It was substantiated that the research into the
styles of junior athletes’ self-regulatory behavior in achieving a winning outcome is an examination of the
psychological content parameters of managing one’s psycho-emotional state, which is achieved through verbal,
visual, and behavioral means. It was noted that the parameter “evaluating sports results” has one correlation with
the need for achievements and no correlation with the other two parameters – self-efficacy in subject activity and
self-efficacy in interpersonal communication. It was explained that junior athletes, permanently evaluating their
sports achievements, focus too much on their personality, strengths and weaknesses, which is accompanied by
the work of defense mechanisms, which do not allow them to properly concentrate on the process of learning and
training. It is recommended that the obtained empirical results and theoretical conclusions be used in the
education and training process at sports schools for children and youth and junior academies functioning in
professional teams
EMOTIONAL INTELLIGENCE IN THE STRUCTURE OF SELF-CONTROL AMONG JUNIOR ATHLETES
(2025) Popovych, I. S.; Danko, D.; Yakovleva, S.; Haponenko, L.; Shcherbyna, O.; Kryzhanovskyi, O.; Hoian, I.; Попович, І. С.
The aim of this study is to empirically investigate and theoretically substantiate the role of emotional
intelligence (EQ) within the self-control structure of junior athletes. Methods: The sample consisted of 184
junior athletes from both team sports (football and handball) and individual sports (track and field, artistic
gymnastics, freestyle wrestling, weightlifting, and boxing). These athletes were students at sports schools for
children and youth and were part of professional football and handball clubs competing in the national
championship. The descriptive frequency characteristics of the respondents’ ages are as follows: М = 16.96; SD
= ±3.37; Мe = 17.00. The parameters of emotional intelligence, volitional control, and subjective control were
assessed using psycho-diagnostic tools that were valid, reliable, and specifically adapted for sports samples.
Results: The empirical data followed a normal distribution, allowing the use of Pearson’s correlation coefficient
(R) to identify fourteen direct correlations and two inverse correlations (p ≤ .050; p ≤ .010; p = .000). It was
found that the most dependent parameter of emotional intelligence was “self-control and self-regulation of
emotions”, which showed the highest number of correlations (seven) and the strongest associations at significant
levels (p ≤ .001; p = .000). The profile of junior athletes’ overall self-control enabled a visual comparison of the
key dimensions of self-control. It was explained that the technical component, latent mental resources, and
psychological literacy give juniors an advantage at the final stage when all the strong and equal athletes have
reached the final competitions. There is a caveat that demonstrating a high level of perseverance does not allow
respondents to consider others’ emotions, i. e. the desire to win at any cost blocks the defense mechanisms of
emotional intelligence. This is a dangerous and uncontrolled state that borders on the affective state and can have
detrimental consequences for junior athletes. Discussion and conclusions. It was substantiated that the research
into emotional intelligence in the structure of junior athletes’ volitional control is a successful attempt to
establish correlations between the parameters of the examined phenomena applying relevant psycho-diagnostic
methodologies, sensitive to critical periods in the formation of a junior athlete’s personality, the development of
worldviews, and age-related patterns of psychophysiological processes. There was a caveat that low values of the
parameter “self-control of an athlete’s health and disease” can pose a latent danger, especially in team sports,
where the absence of key players can have a considerable impact on the tactical organization of the game. It is
recommended that the established scientific facts about the dimensions of EQ and the parameters of volitional
control be implemented in work with juniors in all learning, training, competitive, and rehabilitative activities.
DATA-DRIVEN DECISION-MAKING TO IDENTIFY THE TARGET AUDIENCE OF HIGHER EDUCATION INSTITUTIONS USING MACHINE LEARNING TECHNIQUES
(2025) Kobets, V.; Gulin, D.; Popovych, I. S.; Попович, І. С.
The increasing prevalence of artificial intelligence (AI) and machine
learning (ML) in various sectors has led to a growing need for higher education
institutions (HEIs) to adopt data-driven decision making (DDDM) processes. This
study explores the use of ML techniques to identify the target group of applicants,
enabling the effective allocation of resources for marketing and careers activities.
The research highlights the importance of access to diverse and large datasets
in order to train accurate ML models. HEIs with established AI teams, trainingAQ1
strategies, collaborations with AI service providers, and a digitized and robust data
infrastructure are better placed to make effective use of AI/ML tools. For higher
education authorities, it is crucial to interpret the insights derived from applicant
data. Decision support methods using AI include expert systems, ML, neural
networks and deep learning architectures. ML can improve various areas withinAQ2
HEI, such as predicting applicant numbers, personalizing education, preventing
dropouts, improving efficiency, recruiting and automating routine tasks.
The aim of this research is to develop models based on ML that can accu-
rately predict the probability of an applicant’s admission to an HEI using DDDM.
Among all the methods, the KNN algorithm showed the best result in predicting
the admission of applicants with an accuracy of 0.8378. The logistic model also
has a high accuracy of 0.8108. The KNN model among classification algorithms
is the best according to the RMSE criterion.
The research provides insights into the use of ML techniques for data-driven
decision making in higher education, while emphasizing the need for public over-
sight, stakeholder involvement and balanced integration of ML into the educational
process.