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1.
Predictors of sustainable development outcomes in learning spaces of early childhood : Slovenian teachers' perspectives
Jurka Lepičnik-Vodopivec, Adrijana Višnjić-Jevtić, Aleksandra Šindić, 2026, izvirni znanstveni članek

Opis: This research examined factors associated with sustainable development outcomes (O-SD) in early childhood learning settings, as perceived by preschool teachers, considering environmental, social, and economic aspects along with contextual elements (child age, eco-program affiliation, teacher experience). Data were gathered through an online survey targeting 114 Slovenian preschool teachers in 2024. The reliability of the instrument was high (α = .942), and principal component analysis confirmed its validity. Correlation and stepwise regression analyses identified the key predictors of O-SD. Education focused on economic sustainability and child age emerged as the primary predictors, accounting for approximately 55% of the variance. While social sustainability was frequently observed in practice, it did not prove to be a significant predictor. The findings highlight the importance of developmentally appropriate and age-sensitive strategies, alongside the intentional inclusion of economic considerations. Limitations include a convenience sample and reliance on self-reported data. Future research should aim to replicate these results in diverse settings and consider mixed-method approaches that incorporate children’s perspectives.
Ključne besede: quality education, early childhood education for sustainability, sustainable development outcomes, early childhood learning settings
Objavljeno v RUP: 07.01.2026; Ogledov: 128; Prenosov: 1
.pdf Celotno besedilo (365,89 KB)
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Bridging the individual and the system : preschool teachers’ agency in implementation for sustainable development in early childhood settings in south-eastern Europe
Aleksandra Šindić, Adrijana Višnjić-Jevtić, Jurka Lepičnik-Vodopivec, 2025, izvirni znanstveni članek

Opis: Although the importance of Education for Sustainable Development in Early Childhood (ECEfS) is widely acknowledged, its implementation varies across different national, institutional, and individual contexts. This quantitative study involved 398 ECE teachers from Bosnia and Herzegovina, Croatia, and Slovenia. The aim of the research was to identify differences in the implementation of specific dimensions of ECEfS and in the achieved sustainability outcomes among children, with respect to three levels of ECE teachers’ professional context: national, institutional, and individual. Data were collected via an online survey and analyzed using descriptive statistics, ANOVA, and t-tests. While the study was limited by reliance on self-assessment and purposive sampling, it provided valuable insights into how professional context shapes early sustainability practices and outcomes and raised questions for future research. Findings indicate the existence of differences among respondents from different countries in the level of implementation of certain aspects of early childhood education for sustainable development, as well as in children’s sustainability outcomes. Similar differences were identified between ECE teachers working in eco and non-eco kindergartens, and between those familiar and unfamiliar with the activities of the ECE Academy. The results highlight the importance of institutional context and professional development in supporting sustainability practices in early childhood education settings.
Ključne besede: early childhood education for sustainable development, eco-program, ECE Academy, Bosnia and Herzegovina, Croatia, Slovenia
Objavljeno v RUP: 22.12.2025; Ogledov: 170; Prenosov: 3
.pdf Celotno besedilo (293,03 KB)
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AI in higher education : analysis of relevant practices and their potential for green transition
Vesna Ferk Savec, Sanja Jedrinović, 2025, samostojni znanstveni sestavek ali poglavje v monografski publikaciji

Opis: Artificial Intelligence (AI) has the potential to significantly impact the entire spectrum of sustainable development by targeting the 17 Sustainable Development Goals (SDGs) of the 2030 Agenda for Sustainable Development. In the present study, we analysed reports from university teachers on 26 practises of AI implementation in pedagogical processes at nine faculties of the University of Ljubljana that responded to a call for participation in the Artificial Intelligence in Education project at the University of Ljubljana (2023–2024). We found that various AI tools were mainly used to facilitate the achievement of the sustainable development pillars Economy (SDG9, SDG12) and Society (SDG4) in different areas of KLASIUS-P educational activities, other SDGs were addressed to a lesser extent. Based on the results, we can conclude that the integration of AI into the pedagogical process has great potential but needs to be supported by regulatory insights and monitoring of AI-based technologies to enable sustainable development.
Ključne besede: sustainable development goals (SDGs), artificial intelligence in education (AIEd), higher education (HE)
Objavljeno v RUP: 19.12.2025; Ogledov: 276; Prenosov: 7
.pdf Celotno besedilo (291,33 KB)

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Is the Environmental Kuznets Curve Still Relevant in the Modern Context? – Insights From Air Pollutants in Chinese Cities
Jun Wang, Shinah Park, Gulsah Akar, 2025, izvirni znanstveni članek

Opis: This study investigated the presence of EKC-like relationships between various socioeconomic variables and air pollution indicators across 151 Chinese cities, analysed by quadratic regression models and geographic weighted regression (GWR) analysis. The results present critical insights into the applicability and limitations of the EKC. Only Air Quality Index, Nitrogen Dioxide (NO2), and Fine Particulate Matter (PM2.5) show statistically significant correlations with one socioeconomic variable, respectively, in an EKC-like pattern which is meaningful in reality. GWR coefficients serve as a diagnostic tool to identify those burdened cities where stricter emissions standards, greener industrial practices, or economic restructuring should be prioritized. The spatial dependencies challengethe EKC’s assumption of isolated environmental-economic dynamics. Stricter environmental regulations in developed areas often lead to the displacement of polluting activities to regions with laxer standards. Policy efforts in tackling air pollution should focus on directly reducing emissions through localized, technology-based interventions rather than relying on economic growth to eventually improve air quality. Spatially targeted policies informed by city-specific patterns are essential, as pollution outcomes are shaped by regional industrial structures, population density, and cross-boundary spillover effects.
Ključne besede: Air pollution, City development, Industrialization, Sustainable development, Carbon Neutral
Objavljeno v RUP: 18.12.2025; Ogledov: 146; Prenosov: 0
.pdf Celotno besedilo (808,13 KB)
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Promoting sustainable medical education through digital competence : a cross-sectional pilot study
Sabina Ličen, Mirko Prosen, 2025, izvirni znanstveni članek

Opis: The increasing digitalisation of medical education requires teachers to have a broad range of competences that go beyond basic technical knowledge. This pilot cross-sectional study assessed the self-perceived digital competence of medical faculty members and examined differences by professional role, experience and gender. Of 298 eligible staff, 48 participated (response rate 16.1%), including 19 women (39.6%) and 29 men (60.4%). The data was collected via an online survey using the validated Digital Competence Scale for University Teachers, which comprises four subscales: digital literacy, digital skills, digital interaction and technology integration. The overall median score indicated a generally high level of self-perceived digital competence, with 95% bootstrap confidence intervals confirming this pattern. Assistant professors achieved higher scores in all subscales than associate and full professors. Self-perceived digital competence was positively correlated with participation in structured training, higher interest and frequency of use of digital tools, while age and teaching experience were negatively correlated. The findings suggest unequal levels of self-perceived digital competence across the academic status and highlight the positive association of self-perceived digital competence with participation in targeted, practical and inclusive training programmes.
Ključne besede: sustainable education, medical education, university teachers, faculty development, digital teaching
Objavljeno v RUP: 28.09.2025; Ogledov: 482; Prenosov: 14
.pdf Celotno besedilo (238,18 KB)
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Training on sustainable use of water in the processing industry
Melita Moretti, Mirko Markič, 2015, izvirni znanstveni članek

Opis: Namen prispevka je predstaviti izide iz raziskave o vplivih dejavnikov usposabljanja o trajnostni rabi vode (o podpori usposabljanju, ki jo kažejo nadrejeni in sodelavci, spodbudah za uporabo znanj in veščin, pridobljenih med usposabljanjem) in vplivu usposabljanja na tehnično in delovno učinkovitost zaposlenih. Empirično raziskavo smo opravili na vzorcu 328 srednje velikih in velikih podjetij v slovenski predelovalni dejavnosti. Ugotovili smo, da podpora usposabljanju, ki jo kažejo nadrejeni in sodelavci, ter spodbude za uporabo znanj in veščin, pridobljenih med usposabljanjem, statistično značilno in pozitivno vplivajo na uposabljanje o trajnostni rabi vode, uposabljanje o trajnostni rabi vode pa statistično značilno in pozitivno vpliva na tehnično učinkovitost. Izidi iz raziskave prinašajo nova teoretična spoznanja in praktične usmeritve za vse, ki se ukvarjajo z menedžementom trajnostnega razvoja z vidika ohranjanja naravnih virov.
Ključne besede: Management, water, processing industry, research, sustainable development, training
Objavljeno v RUP: 24.01.2018; Ogledov: 5187; Prenosov: 85
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