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Abstract: Datoteka vsebuje transkript odprtih odgovorov iz Vprašalnika za starše (raziskava PIRLS 2021) o domačih nalogah. Gre za nacionalni dodatek k mednarodnemu vprašalniku.
Published in DiRROS: 01.08.2025; Views: 446; Downloads: 113
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Keywords: mednarodne raziskave, branje, pouk, učenje, učenci, osnovne šole, PIRLS 2021
Published in DiRROS: 08.07.2025; Views: 330; Downloads: 203
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Abstract: Ta priročnik je prevod priročnika RALSA: User Guide (v angl.), ki je dostopen na povezavi: https://ralsa.ineri.org/user-guide/. Nastanku orodja/platforme RALSA (The R Analyzer for Large-Scale Assessments) je botrovalo to, da je dr. Plamen Vladkov Mirazchiyski iskal bolj dostopne in celovite rešitve za analizo podatkov mednarodnih primerjalnih raziskav in študij na področju vzgoje in izobraževanja - zaradi kompleksnosti in dizajna vzorčenja teh raziskav, pa tudi zaradi določenih razlik pri omenjeni kompleksnosti teh raziskav. RALSA je tako orodje za analizo podatkov, ki jih zberemo v okviru mednarodnih primerjalnih raziskav in študij na področju vzgoje in izobraževanja. Zasnova teh raziskav je kompleksna, tako v smislu vzorčenja, kot v smislu zasnove kognitivnih instrumentov, ki merijo znanja na številnih področjih. Sodelujejo pa ne le učenci oz. dijaki, temveč tudi njihovi učitelji, ravnatelji šol, v nekaterih primerih tudi starši, pa tudi IKT koordinatorji na šolah. Zaradi vsega naštetega klasični programi za statistično izračunavanje niso ustrezni, ker moramo tudi pri analizah upoštevati vse te specifike. Še več, obstajajo tudi določene razlike med posameznimi mednarodnimi primerjalnimi raziskavami in študijami (tako pri zasnovi kognitivnih instrumentov in izračunih na tej podlagi, kot pri samem vzorčenju). Prav zato ni na voljo ene rešitve, ki bi bila ustrezna za vsako od teh specifik. RALSA pa vse navedeno upošteva že avtomatično.
Keywords: pedagogika, vzgoja, pedagoško raziskovanje, statistične metode, mednarodne raziskave, analiza podatkov
Published in DiRROS: 08.07.2025; Views: 420; Downloads: 224
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Keywords: education, covid-19, distance or remote schooling, students' academic outcomes, grading knowledge, Slovenia, REDS data
Published in DiRROS: 08.07.2025; Views: 423; Downloads: 217
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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: 341; Downloads: 224
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