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Feb 11, 2026 - Public
Helm, Christoph; Lauss, Julia, 2026, "Circus of Knowledge - Integrating Arts into STEM education (SUF edition)", https://doi.org/10.11587/KFQBTH, AUSSDA, V1, UNF:6:VdbDgjhzUsits2UvMe/2nw== [fileUNF]
Full edition for scientific use. The dataset was collected as part of the Sparkling Science project "Zirkus des Wissens" an interdisciplinary educational initiative funded by the Austrian Agency for Education and Internationalization (OeAD). The project aimed to explore the integration of arts into STEM education (STEAM) to enhance learning motivat...
Feb 3, 2026 - Public
Aschauer, Wolfgang; Heinz, Janine; Kreuzberger, Markus; Wally, Stefan, 2026, "Salzburg Authoritarianism Study - Wave 1 to Wave 4 (SUF edition)", https://doi.org/10.11587/FPG9SR, AUSSDA, V1, UNF:6:C92Vb1P0TE4UVxvJuuOpxw== [fileUNF]
Full edition for scientific use. The Salzburg Authoritarianism Study is commissioned by the Robert Jungk Library for Future Studies in Salzburg and was launched in 2017 as a long-term initiative. Since its beginning, it has been conducted in collaboration with the Department of Sociology at the University of Salzburg (project leader: Wolfgang Ascha...
Jan 20, 2026 - Public
Weger, Denis, 2026, "Pre-service Teachers’ Professional Development for Cultural and/or Linguistic Diversity through Teaching Abroad: A Systematic Scoping Review (OA edition)", https://doi.org/10.11587/PCNMWP, AUSSDA, V1
Full edition for public use. This dataset contains the complete extraction sheet of a scoping review examining the research question: What influence do teaching internships abroad have on the professionalization of pre-service teachers for culturally and/or linguistically diverse classrooms? The objective of the review was to map the breadth of exi...
Jan 12, 2026 - AUTNES
Bernhard-Harrer, Jana; Stecker, Marvin; Eberl, Jakob-Moritz; Boomgaarden, Hajo G.; Kritzinger, Sylvia; Ennser-Jedenastik, Laurenz, 2026, "AUTNES Automatic Content Analysis of the Media Coverage 2024 (SUF edition)", https://doi.org/10.11587/HOEXGX, AUSSDA, V1, UNF:6:6b8jZJA82Sv/moRpV9u+NA== [fileUNF]
Full edition for scientific use. The dataset comprises data of AUTNES automatic content analysis of media coverage of the Austrian National Election held on 29 September 2024. This study is part of the Austrian National Election Study (AUTNES).
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