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1.
Propensity score matching approach for evaluating training programs in Slovenia
Alenka Kavkler, 2024, independent scientific component part or a chapter in a monograph

Abstract: In this paper, we evaluate the training active labor market policy programs in Slovenia during the great recession. The quasi-experimental method of propensity score matching is applied. Performance of active labor market policy programs is typically measured with the average treatment effect on the treated. In the short term, the training programs do not reduce unemployment.
Keywords: training programs, propensity score matching, active labor market policy
Published in DKUM: 06.11.2025; Views: 0; Downloads: 1
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2.
Acceptance and feasibility of virtual reality for teaching adult basic life support in older populations
Ana Belen Ocampo Cervantes, Carmen Amalia Lopez Lopez, Robert Greif, Federico Semeraro, Manuel Pardo Rios, Nino Fijačko, 2025, original scientific article

Abstract: Abstract Background Virtual reality (VR) is emerging in adult Basic Life Support (BLS) training, but its acceptance among older adults has not been fully studied. This study aimed to develop expert-informed BLS content for both VR and laptop formats, and to evaluate the feasibility, usability, knowledge acquisition, satisfaction, and cybersickness of these platforms among older adult learners. Methods A two-phase mixed-methods study was conducted. Five experts co-developed and validated a VR/laptop-compatible adult BLS scenario based on the 2021 European Resuscitation Council guidelines. This scenario was then tested by older adults who voluntarily participated in either VR- or laptop-based training at a public technology event in Spain. Post-training, we measured knowledge acquisition, usability, satisfaction, user experience, and cybersickness. Comparative statistics and regression analyses were performed to evaluate learning outcomes and predictors. Results Five experts developed a consensus-based adult BLS decision tree with 10 scenes and six questions. A total of 583 adults (mean age 72.3 ± 4.8 years) took part in the BLS training evaluation. Those in the VR group (n = 415) outperformed those in the laptop group (n = 168) in key steps, including initiating CPR (58 % vs 41 %, p < 0.001) and using an AED (49 % vs 23 %, p < 0.001). VR participants rated usability of VR-training as excellent (73.8 ± 4.2), expressed high satisfaction and realism. Cybersickness was low (13.1 %). VR training predicted higher knowledge scores (β = 5.8, p < 0.001), and increased scores by 5.8 points over laptop training. VR participants were 2.3 times more likely to answer BLS questions correctly (OR = 2.3, 95 % CI: 1.6–3.2, p < 0.001) Conclusion VR could improve adult BLS knowledge in older adults, with high levels of acceptance and positive user experience. Future work should enhance accessibility and reduce discomfort.
Keywords: Older adults, Training methods, Virtual reality, Cardiopulmonary resuscitation, Basic Life Support, Knowledge, Usability
Published in DKUM: 29.10.2025; Views: 0; Downloads: 2
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3.
The role of intelligent data analysis in selected endurance sports : a systematic literature review
Alen Rajšp, Patrik Rek, Peter Kokol, Iztok Fister, 2025, review article

Abstract: In endurance sports, athletes and coaches shift increasingly from intuition-based decisionmaking to data-driven approaches powered by modern technology and analytics. Since 2018, the field has experienced significant advances, influencing endurance sports disciplines. This systematic literature review identified 75 peer-reviewed studies on intelligent data analysis in endurance sports training. Each study was categorized by its intelligent method (e.g., machine learning, deep learning, computational intelligence), the types of sensors and wearables used, and the specific training application and approach. Our synthesis reveals that machine learning and deep learning are among the most used approaches, with running and cycling identified as the most extensively studied sports. Physiological and environmental data, such as heart rate, biomechanical signals, and GPS, are often used to aid in generating personalized training plans, predicting injuries, and increasing athletes’ long-term performance. Despite these advancements, challenges remain, related to data quality and the small participant sample sizes.
Keywords: smart sports training, endurance sports, intelligent data analysis, machine learning, artificial intelligence, computational intelligence, systematic literature review
Published in DKUM: 02.10.2025; Views: 0; Downloads: 6
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4.
Employers’ efforts to encourage older workers to retire later : a case study of large companies in Slovenia
Vesna Novak, Anja Vidmar, Janja Jerebic, Alenka Brezavšček, 2023, original scientific article

Abstract: Background and Purpose: Most developed societies are facing the challenge of an ageing population, which poses several issues, including low labour force participation and financial pressures on the sustainability of the pension system. Countries typically address this situation by raising the retirement age, which often results in dissatisfaction among workers as such decisions are perceived as imposed. Therefore, our work’s main purpose was to research the analysis of implementing measures for managing older workers in companies, which would indirectly influence workers’ decisions to voluntarily choose longer work participation. Design/Methodology/Approach: We designed our study on the assumption that companies that more frequently conduct various analyses of their employees also pay greater attention to measures for managing older workers. In doing so, we focused on the measures that the literature identifies as important for keeping older workers employed for longer. The data source was a study from 2020, which sampled large companies in Slovenia with more than 100 employees. We posed the questions to the person responsible for human resource management in the company. The initial question was whether conducting employee analyses is associated with the implementation of measures focused on education and training, skills transfer, and career development as well as managing the health of older workers. We formulated three main hypotheses, which we confirmed using linear correlation analysis. Results: We found that companies that conduct more frequent analyses of employees’ qualifications and competencies, on average, also more frequently implement measures related to the area of education and training of older workers and to the area of knowledge transfer and career development of older workers. We confirmed statistically significant correlations in general as well as at the level of particular measures. Furthermore, we found that companies that more frequently conduct analyses of the health structure of employees, on average, also more frequently implement measures in the field of managing the health of older workers. We concluded that companies that conduct employee analyses more frequently demonstrate a higher level of commitment to implementing measures for managing older workers, which subsequently impacts their decision to retire later. Conclusion: By conducting employee analyses, companies gain important information that leads to the timely and sufficiently frequent implementation of measures for managing older employees. With empirical data, we have supported our prediction that the frequency of implementing measures through which companies can influence older workers’ decisions for later retirement is associated with the frequent conduction of employee analyses. This article has contributed to our understanding of ageing and the treatment of older workers. It has also highlighted a softer approach to promoting prolonged work engagement for older employees as an alternative to unwanted, legally imposed later retirement.
Keywords: an ageing population, management of older workers, education and training, knowledge transfer and career, health management
Published in DKUM: 26.09.2025; Views: 0; Downloads: 5
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Possible enhancing of spraying management by evaluating automated control in different training systems
Jurij Rakun, Peter Lepej, Rajko Bernik, Jelisaveta Seka Cvijanović, Miljan Cvetković, Erik Rihter, 2024, original scientific article

Abstract: This study explores the feasibility of an automated sensor system for precise plant protection product application in plum orchards, aiming to address issues related to inefficient spraying practices, environmental pollution, and reduced crop quality associated with traditional training systems. The research focuses on detecting tree canopy presence, evaluating electromagnetic valve actuation in different plum training systems, and optimizing plant protection product usage. Sensor-based spraying demonstrates its potential to improve operational efficiency, reduce product losses, and foster environmentally responsible agricultural practices, contributing to the broader field of precision agriculture. For the selected scene, the results show the possibility of a substantial savings of 71.37%, 47.17%, 58.59%, and 55.06% for the One-axis, Bi-axis, UFO, and Combine systems, respectively. Implementing this technology can potentially lead to significant improvements in plum orchard operations while minimizing the industry’s ecological impact on the environment.
Keywords: sensors, spraying application control, target-oriented spray, plum orchard, training systems
Published in DKUM: 08.08.2025; Views: 0; Downloads: 1
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8.
Job satisfaction and professional burnout in kindergarten teachers
Anita Mandarić Vukušić, Valentina Krstulović, 2024, original scientific article

Abstract: The article investigates the relationship between kindergarten teachers’ professional burnout and their education level and work experience. The data were obtained through a survey conducted among 206 kindergarten teachers. According to the results, kindergarten teachers are most satisfied working with children and collaborating with colleagues, and least satisfied with their monthly income, formal professional training offer, working conditions and work organization. Self-assessment of work exhaustion and work alienation showed no statistically significant differences, but a difference was recorded for work engagement. Kindergarten teachers with bachelor’s degree have the highest level of work engagement, as well as those who are at the beginning of their careers.
Keywords: professional training, work role, work conditions, kidergarten teachers
Published in DKUM: 29.07.2025; Views: 0; Downloads: 3
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9.
Video in blended teacher education : a tool for practicing teaching analysis
Jana Stara, Tereza Krčmářová, Jana Krátká, 2023, original scientific article

Abstract: The article presents a case study of using videos to develop primary school student teachers’ skills when analysing teaching. It is based on a content analysis of teaching observations, students’ written work, teacher feedback, curriculum, student evaluation, and teacher interviews. The research results show that using video is meaningful and motivating to student and university teachers. However, students rarely draw on theoretical knowledge in analysing the situations. To connect theory and practice, it is desirable to consistently apply the requirement to reflect on observed phenomena with the underpinning of theory and to strengthen the connections between theoretical and practical courses.
Keywords: teacher education, teacher training, video use, blended teacher education
Published in DKUM: 29.07.2025; Views: 0; Downloads: 3
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10.
Subjectively perceived importance of education by university students at the beginning of their studies
Radmila Burkovičová, 2022, original scientific article

Abstract: The article investigates students perception of the importance of education and its rationale at the beginning of their studies. Fifty-seven students from the bachelor’s programme Teacher Training for Kindergarten from 2018/2019 to 2021/2022 participated. The sampling was based on convenience. A qualitative approach was used through open verbal statements transcribed into a text. The individual importance of education to students at the beginning of the first semester and their personal justifications for the importance of education were identified, representing several categories. We found the following dimensions for the categories of the meaning of education (personal goal category) and personal definition of education (categories: association with context; from individual to society; on the background of historical development; personality development and evolution; essence; mode of acquisition; value; through the lens of the present; Dionysian conception; general overview; confused definitions).
Keywords: importance of education, definition of education, teacher training for kindergarten, preschool teaching
Published in DKUM: 25.07.2025; Views: 0; Downloads: 5
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