1. Metavesolje, spletne skupnosti in (resnični) mestni prostorAsli Ulubaş Hamurc, 2022, review article Abstract: With the COVID-19 pandemic, technological advancements and investments accelerated to create an alternative to the real world that makes it possible for various activities and experiences to be handled online. Among these developments, the metaverse comes to the fore because it makes possible real and virtual experiences simultaneously, regardless of the time and space the user exists in, and it acts as a mediator and medium to bring these two environments together. This article discusses the possible impacts of advancements in the metaverse on (real) urban space considering the socio-spatial dialectic through theory synthesis and adaptation. An overall evaluation of the socio-spatial impacts of this is also included and opened up for discussion. Based on a literature review, it is expected that technological developments like the metaverse will introduce a new organization to physical and virtual socio-spatial relations, and new socio-technological groups will be created in them and by using them.
Keywords: metaverse, online communities, urban space, COVID-19 pandemic, phygital
Published in DiRROS: 05.08.2025; Views: 300; Downloads: 189
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2. Urbanistična politika po pandemiji COVID-19 : izbrani vidikiMaciej J. Nowak, Paulina Legutko-Kobus, Ayyoob Sharifi, Amir Reza Khavarian-Garmsir, Artur Hołuj, 2024, not set Keywords: urbanizem, urbanistično planiranje, prostorska politika, pandemije, COVID-29
Published in DiRROS: 31.07.2025; Views: 552; Downloads: 334
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3. Students’ and teachers’ perceptions of students’ academic outcomes in Slovenia : evidence from REDS dataPlamen Mirazchiyski, Eva Klemenčič Mirazchiyski, 2023, original scientific article Keywords: education, covid-19, distance or remote schooling, students' academic outcomes, grading knowledge, Slovenia, REDS data
Published in DiRROS: 08.07.2025; Views: 352; Downloads: 192
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5. The relative effect of job demands, resources, and personal resources on teaching quality and students' engagement during the COVID-19 pandemicŽan Lep, Eva Klemenčič Mirazchiyski, Plamen Mirazchiyski, 2023, original scientific article Abstract: During the COVID-19 pandemic's school closures and the distance education that resulted from it, teachers were faced with an increasing workload and significant changes in their working environment. Because increased workload can result not only in worsened mental health and lower work motivation, but also in worsened learning outcomes, this article explores how teacher-perceived job demands, job resources, and personal resources are related to teachers' assessment of teaching quality and student engagement during the pandemic. Using the data of 1,422 8th grade teachers in Slovenia from the IEA Responses to Educational Disruptions Survey (REDS) survey, this study also explores the perceived level of support from different institutional actors and the utility of Job demands-resources model for this specific group of workers in a specific work setting. The results show that the teachers of 8th graders in Slovenia perceived a higher level of support from their closest working environment compared to the national bureaucracy. In terms of job demands, the increased workload in preparing the lessons had negative effect on both teaching quality and student engagement, while the reported increase in time spent on direct work with students and social support received (a job resource) contributed positively to both outcome variables. In line with theoretical expectations, personal resources were positive predictors of teaching quality and student engagement in our model. Compared with the initial expectations this study had based on the underlying theoretical model, the results paint a complex relationship between job characteristics and learning outcomes during distance learning. Thus, some of the challenges both teachers and policy-makers face and will continue to face in possible similar situations are discussed.
Keywords: job demands, job resources, teachers, teaching quality, student engagement, job demandsrResources model, covid-19
Published in DiRROS: 08.07.2025; Views: 294; Downloads: 203
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6. The development of the 5Cs of positive youth development in a school year : a 3-wave longitudinal study of Slovenian youth during the COVID-19 pandemicAna Kozina, Nora Wiium, 2023, original scientific article Keywords: 5Cs of PYD, school year, age, gender, school level, COVID-19, pandemic, Slovenia, longitudinal analysis
Published in DiRROS: 08.07.2025; Views: 312; Downloads: 236
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7. Anxiety in a COVID-19 school year context : three-way longitudinal study on Slovenian adolescent sampleAna Kozina, 2023, original scientific article Abstract: Background and Objectives:We investigated the trajectories of anxiety,general anxiety and more specifically COVID-19 anxiety in the period ofschool closure in Slovenia using a longitudinal design with three timepoints: at the beginning, in the middle and at the end of the school year.Design and Methods:We have used data from a representativeadolescent sample for Slovenia (n= 1233) and two anxiety scales: theLAOM Anxiety Scale and the COVID-19 Anxiety Scale. Thefindings fromlatent growth curve models show a significant difference in initial levelsand a decrease in both types of anxiety as well as an interaction effectbetween the initial level and the rate of change of COVID-19 anxiety. Inaddition to investigating the change in time, we were interested incovariates.Results and Conclusions:Thefindings show significant effects of: (a)gender, school level and academic achievement on initial levels ofCOVID-19 anxiety; (b) gender and school level on initial levels ofanxiety; (c) gender on the rate of change in anxiety; (d) academicachievement on the rate of change in COVID-19 anxiety; and,additionally, (e) the significant but different role that schoolbelongingness plays in anxiety and in particular COVID-19 anxiety.
Keywords: education, schoolbelongingnes, adolescents, grades, gender, covid-19, anxiety, covid-19 anxiety, longitudinal study, Slovenia
Published in DiRROS: 08.07.2025; Views: 312; Downloads: 259
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8. From crisis to routine – standardization of SARS-CoV-2 genome detection by enhanced EQA schemes in a scientific pandemic networkMartin Kammel, Hans-Peter Grunert, Anika Zimmermann, Annemarie Martin, Vanessa Lindig, Mojca Milavec, 2025, original scientific article Abstract: In the beginning of 2020, the outbreak of the COVID-19 pandemic led to a crisis in which diagnostic methods for the genome detection of SARS-CoV-2 were urgently needed. Based on the very early publication of the basic principles for a diagnostic test for the genome detection of SARS-CoV-2, the first noncommercial laboratory-developed tests (LDTs) and commercial tests were introduced. As there was considerable uncertainty about the reliability and performance of different tests and different laboratories, INSTAND established external quality assessment (EQA) schemes for the detection of SARS-CoV-2 starting in April 2020. In close partnership in a scientific network, the EQA schemes were enhanced, especially the April, June and November 2020 terms. The enhancement included: (i) immediate provision of suitable virus including variants of concern at the beginning of the pandemic outbreak, (ii) short frequency of EQA schemes, (iii) concentration dependency of the testing and sensitivity check, achieved by using SARS-CoV-2-positive samples from a 10-fold dilution series of the same starting material, (iv) specificity check of the testing, achieved by using SARS-CoV-2-negative samples containing human coronaviruses or MERS CoV, (v) revealed samples for orientation on test performance during an ongoing or at the start of an EQA scheme using a pre-quantified SARS-CoV-2-positive EQA sample with a low viral RNA load of only 1 570 copies/mL assigned by digital PCR (dPCR) in June 2020 and (vi) quantified reference materials based on the experiences of the first two EQA schemes with dPCR-assigned values in copies/mL beginning in November 2020 for self-evaluation of the applied test system. This manuscript summarizes the results of a total of 13 EQA schemes for the detection of SARS-CoV-2 between April 2020 and June 2023 in which a total of 1 413 laboratories from 49 countries participated. The qualitative results for the detection of SARS-CoV-2-positive samples were between 95.8 % and 99.7 % correct positive, excluding extremely low concentration samples. For all SARS-CoV-2-negative EQA samples, the qualitative success rates ranged from 95.1 % to 99.4 % correct negative results. The widely varying values for the cycle threshold (Ct)/crossing point (Cq) reported for the different target genes and test systems were striking. A few laboratories reported quantitative results in copies/mL for several VOCs with an acceptable rate of over 93 % correct positive results in the majority of cases. The description of the enhanced EQA schemes for SARS-CoV-2 detection in terms of timing and scope can serve as a blueprint for the rapid development of a quality assessment of diagnostics for an emerging pathogen.
Keywords: COVID-19 pandemic, SARS-CoV-2, virus genome detection tests, reference materials, external quality assessment, laboratory medicine, epidemiology
Published in DiRROS: 18.06.2025; Views: 430; Downloads: 410
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9. Samopostrežna izposoja v splošnih knjižnicah : sam do knjige v času pandemije COVID-19Andreja Dobrovoljc, Katarina Švab, 2025, original scientific article Abstract: Namen: Zaradi pandemije koronavirusa so splošne knjižnice posegale po alternativnih oblikah izposoje, kjer izposoja poteka brezstično ali z minimalnim stikom. Namen prispevka je ugotoviti, katere tehnološke rešitve so za izposojo fizičnega gradiva uporabljale splošne knjižnice in ali je pandemija povzročila spremembe v gibanju izposoje na knjigomatih, kjer si je mogoče fizično knjigo izposoditi samostojno s pomočjo tehnologije. Metodologija/pristop: Uporabljena je bila kombinacija dveh raziskovalnih metod, in sicer analiza vsebine in analize statističnih podatkov. V prvem delu raziskave je bila narejena analiza vsebine, kjer smo za vire podatkov uporabili prosto dostopne spletne strani, letna poročila in družbena omrežja slovenskih splošnih knjižnic ter statistične podatke o delu slovenskih splošnih knjižnic BibSiSt. V drugem delu raziskave pa statistična analiza podatkov o izposoji gradiva za obdobje od januarja 2020 do maja 2022, v petih slovenskih splošnih knjižnicah: Knjižnica Mirana Jarca Novo mesto, Goriška knjižnica Franceta Bevka, Knjižnica Medvode, Mestna knjižnica Kranj in Cankarjeva knjižnica Vrhnika. Rezultati: Analiza podatkov je pokazala, da je pandemija koronavirusa povzročila velik upad izposoje gradiva na knjigomatih, kjer je bil zabeležen še večji kot upad kot pri drugih načinih izposoje. Kljub temu je pandemija knjižnice spodbudila, da so investirale v različne tehnologije, ki omogočajo brezstične načine izposoje, kot so knjigomati, paketniki in pametne omare. Omejitve raziskave: V vzorcu je bilo vključenih le pet slovenskih splošnih knjižnic, ki se med seboj zelo razlikujejo predvsem po številu uporabnikov. Da bi prišli do konkretnejših zaključkov, bi bilo smiselno vključiti večje število knjižnic z medsebojno primerljivim številom uporabnikov in podobno infrastrukturo.Izvirnost/uporabnost raziskave: Rezultati dajejo vpogled v uporabo knjigomatov ter njihove investicije v tehnološke rešitve za izposojo v slovenskih splošnih knjižnicah med pandemijo in so lahko v pomoč pri načrtovanju in implementaciji brezstičnih načinov izposoje v prihodnosti.
Keywords: splošne knjižnice, Slovenija, knjigomati, COVID-19, izposoja
Published in DiRROS: 11.06.2025; Views: 424; Downloads: 195
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10. Robust and intuitive model for COVID-19 epidemic in SloveniaMatjaž Leskovar, Leon Cizelj, 2022, original scientific article Abstract: The main goal of epidemic modelling is to support the epidemic management through forecasts and analyses of past developments. With this in mind a robust and intuitive SEIR (Susceptible, Exposed, Infectious, Recovered) type model has been developed, applied and verified during the multiple waves of the COVID-19 epidemics in Slovenia since March 2020. The model parameters were based on the general characteristics of the COVID-19 disease reported globally for the entire planet and refined with the aggregate data available mostly on a daily basis in Slovenia, as for example the number of confirmed cases, hospitalized patients, hospitalized patients in intensive care units and deceased. The Slovenian aggregate data was also used to estimate the degree of immunisation due to past infections and vaccination, which reduces the number of susceptible persons for the disease. Examples of the model application are presented to illustrate its robustness and intuitiveness in both the forecasts and analyses of past developments. The analyses of past developments provided specific estimates of modelling parameters for Slovenia and quantified the effects of pharmaceutical and non-pharmaceutical interventions and various events on the development of the epidemics as measured through the reproduction number R. This empirically obtained information was then applied in the forecasts. Accurate forecasts are a great support for decision makers and for hospitals to plan appropriate actions in advance. The inherent uncertainties in the model and data were quantified through intuitive sensitivity analyses represented as different scenarios. The observed accuracy of the forecasts was impressively good also in demanding conditions, when various complex processes influencing the spread of the disease were going on in parallel. This demonstrates the robustness and relevance of the proposed model.
Keywords: epidemic, COVID-19, modelling SEIR, reproduction number
Published in DiRROS: 11.04.2025; Views: 523; Downloads: 233
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