1. Creation of databases for a virtual training library infashion designSheilla Odhiambo, Alexandra De Raeve, Cosmin Copot, Ion Razvan Radulescu, Andreja Rudolf, Tadeja Penko, Xianyi Zeng, Xuyuan Tao, Thu-Ha Do, Alexandra Cardoso, Irina Ionescu, Joris Cools, 2024, izvirni znanstveni članek Opis: A library of knowledge that contains a fabric database, 3D human body models database, and 3D garment database has been developed in the framework of the Erasmus+ project DigitalFashion –“Collaborative Online International Learning in Digital Fashion”, which is a collaboration of 6 European partners who would like to strengthen their working together through collaboration in online international teaching. The fabric database contains 49 physical textile fabrics, both woven and knitted fabrics. Each partner provided at least eight fabrics. The library contains also 3D human body models of different sizes (male, and female), and 48 pattern designs for women’s and men’s garments. The fabric’s physical and visual parameters have been determined using known textile standards, including their draping images taken using a Cusick Drape Tester. These fabric parameters have been used to predict the equivalent digital twin fabric based on Lectra digital fabrics, thereby completing the fabric database with their matching digital twin fabric. The digital twin fabrics have been used to simulate the 3D garments for the 3D garment database, based on the selected patterns and styles. To test the robustness of the fabric digitization process, a woman A-line skirt (real) was made by each partner using their fabric. These skirts were then compared with their simulated (virtual) skirts. The investigation has shown that the digital twin fabrics represent the real fabrics well. The virtual training library will support the specially developed training platform for virtual fashion design. Ključne besede: virtual fashion design, physical fabrics, 3D garments, drapability, physical garments, garment style, pattern design, training platform Objavljeno v DKUM: 15.01.2026; Ogledov: 0; Prenosov: 0
Celotno besedilo (1,07 MB) Gradivo ima več datotek! Več... |
2. Integrating advanced technologies in education : empowering youth for a sustainable future through new literaciesAndrej Flogie, Daniel Hari, Matevž Bratina, Maja Kerneža, Boris Aberšek, Dejan Zemljak, 2025, izvirni znanstveni članek Opis: The quasi-experimental study explores how contemporary technologies, such as artificial intelligence and humanoid robots, enhance sustainability education for pre-service teachers. The study, involving 112 participants, assessed the effectiveness of these technologies compared to traditional methods in improving sustainability literacy. Pre- and post-tests revealed significant improvements in understanding sustainability concepts, with humanoid robots increasing response variability. Results highlight the technologies’ ability to engage educators in sustainability topics, promoting new literacies critical for addressing environmental challenges. Ključne besede: advanced technologies, digital competence, humanoid robots, sustainability education, teacher training Objavljeno v DKUM: 23.12.2025; Ogledov: 0; Prenosov: 3
Celotno besedilo (588,40 KB) Gradivo ima več datotek! Več... |
3. |
4. Acceptance and feasibility of virtual reality for teaching adult basic life support in older populationsAna Belen Ocampo Cervantes, Carmen Amalia Lopez Lopez, Robert Greif, Federico Semeraro, Manuel Pardo Rios, Nino Fijačko, 2025, izvirni znanstveni članek Opis: 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. Ključne besede: Older adults, Training methods, Virtual reality, Cardiopulmonary resuscitation, Basic Life Support, Knowledge, Usability Objavljeno v DKUM: 29.10.2025; Ogledov: 0; Prenosov: 4
Celotno besedilo (1,60 MB) Gradivo ima več datotek! Več... |
5. The role of intelligent data analysis in selected endurance sports : a systematic literature reviewAlen Rajšp, Patrik Rek, Peter Kokol, Iztok Fister, 2025, pregledni znanstveni članek Opis: 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. Ključne besede: smart sports training, endurance sports, intelligent data analysis, machine learning, artificial intelligence, computational intelligence, systematic literature review Objavljeno v DKUM: 02.10.2025; Ogledov: 0; Prenosov: 6
Celotno besedilo (655,98 KB) |
6. Employers’ efforts to encourage older workers to retire later : a case study of large companies in SloveniaVesna Novak, Anja Vidmar, Janja Jerebic, Alenka Brezavšček, 2023, izvirni znanstveni članek Opis: 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. Ključne besede: an ageing population, management of older workers, education and training, knowledge transfer and career, health management Objavljeno v DKUM: 26.09.2025; Ogledov: 0; Prenosov: 6
Celotno besedilo (1,20 MB) Gradivo ima več datotek! Več... |
7. Use of augmented and virtual reality in resuscitation training : a systematic reviewAdam Cheng, Nino Fijačko, Andrew Lockey, Robert Greif, Cristian Abelairas-Gómez, Lucija Gosak, Yiqun Lin, 2024, pregledni znanstveni članek Ključne besede: resuscitation, immersive technology, virtual reality, augmented reality, training, life support Objavljeno v DKUM: 17.09.2025; Ogledov: 0; Prenosov: 4
Celotno besedilo (468,03 KB) |
8. Digital transformation and workforce dynamics: an empirical analysis of blue-collar and white-collar workers in AustriaVito Bobek, Hellen Nambasa, Tatjana Horvat, Lea-Marija Colarič-Jakše, 2024, izvirni znanstveni članek Ključne besede: Digital Transformation, white-collar workers, blue-collar workers, digital maturity, job displacement, automation, workforce management, Austria, skills training, labor market Objavljeno v DKUM: 22.08.2025; Ogledov: 0; Prenosov: 3
Celotno besedilo (980,84 KB) Gradivo ima več datotek! Več... |
9. Possible enhancing of spraying management by evaluating automated control in different training systemsJurij Rakun, Peter Lepej, Rajko Bernik, Jelisaveta Seka Cvijanović, Miljan Cvetković, Erik Rihter, 2024, izvirni znanstveni članek Opis: 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. Ključne besede: sensors, spraying application control, target-oriented spray, plum orchard, training systems Objavljeno v DKUM: 08.08.2025; Ogledov: 0; Prenosov: 1
Povezava na datoteko |
10. Job satisfaction and professional burnout in kindergarten teachersAnita Mandarić Vukušić, Valentina Krstulović, 2024, izvirni znanstveni članek Opis: 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. Ključne besede: professional training, work role, work conditions, kidergarten teachers Objavljeno v DKUM: 29.07.2025; Ogledov: 0; Prenosov: 3
Celotno besedilo (348,06 KB) Gradivo ima več datotek! Več... |