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Jun 18, 2024 - Surveys of Cultural Life = Kultūrinio gyvenimo tyrimai
Lithuanian Council for Culture, 2024, "Participation in Culture and Satisfaction with Cultural Services in Lithuania, July - August 2023", https://hdl.handle.net/21.12137/W3EK5N, Lithuanian Data Archive for SSH (LiDA), V1, UNF:6:L6yE9Qt7DaxtgleUdylpRg== [fileUNF]
The purpose of the study: to analyse Lithuanian residents opinion about the accessibility and quality of cultural products and services and to assess the level of the population’s consumption of cultural products and services and participation in the cultural activities. The stud...
Feb 19, 2024 - Surveys of Cultural Life = Kultūrinio gyvenimo tyrimai
Ministry of Culture of the Republic of Lithuania, 2024, "National Survey of Digital and Digitized Cultural Content’s Consumers, May 2023", https://hdl.handle.net/21.12137/GW4QXW, Lithuanian Data Archive for SSH (LiDA), V1, UNF:6:eMt37r55T+/u0mFQ8CLXeQ== [fileUNF]
The purpose of the study: to analyse Lithuanian residents needs and expectations regarding digital cultural content on the Internet. Major investigated questions: respondentų klausta, ar jie naudoja kultūros turinį internete (pvz., elektronines knygas, filmus, muzika ir pan.) bei...
Sep 25, 2023 - NO-GAP: Prototype of Educational Analytics Tool NO-GAP = NO-GAP: Mokinių pasiekimų analitikos įrankio NO-GAP prototipas
Erentaitė, Rasa; Sevalneva, Daiva; Vosylis, Rimantas; Melnikė, Eglė; Morkevičius, Vaidas; Simonaitienė, Berita; Žvaliauskas, Giedrius; Zdanavičiūtė, Monika; Volčok, Anton, 2023, "Code of the Prototype of Educational Analytics Tool NO-GAP, July 2023", https://hdl.handle.net/21.12137/5SAURM, Lithuanian Data Archive for SSH (LiDA), V1
This publication contains code of the prototype of educational analytics tool NO-GAP. The NO-GAP prototype is a dashboard created using the R Shiny library. There are three different levels of this program: - school level; - municipal level; - national level. Each level displays...
Aug 9, 2023 - Educational Statistics Data = Švietimo statistikos duomenys
Erentaitė, Rasa; Sevalneva, Daiva; Vosylis, Rimantas; Melnikė, Eglė; Morkevičius, Vaidas; Simonaitienė, Berita; Žvaliauskas, Giedrius, 2023, "NO-GAP: Student-Level Data: Cohort of 8th-Grade Students of the School Year 2020-2021", https://hdl.handle.net/21.12137/RA4TUG, Lithuanian Data Archive for SSH (LiDA), V1, UNF:6:02FlExa70WzEO3EK3w+maQ== [fileUNF]
This dataset covers anonymised student-level population data on students enrolled in grade 8 during the school year 2020-2021, including historical data for this student cohort. The NO-GAP research team was provided with student-level primary population data by the National Agenc...
Aug 9, 2023 - Educational Statistics Data = Švietimo statistikos duomenys
Erentaitė, Rasa; Sevalneva, Daiva; Vosylis, Rimantas; Melnikė, Eglė; Morkevičius, Vaidas; Simonaitienė, Berita; Žvaliauskas, Giedrius, 2023, "NO-GAP: School-Level Data: Cohort of 8th-Grade Students of the School Year 2020-2021", https://hdl.handle.net/21.12137/F6DTYC, Lithuanian Data Archive for SSH (LiDA), V1, UNF:6:/tEXHnZFhT9mQj/wsIbvhA== [fileUNF]
This dataset covers anonymised school-level population data on students enrolled in grade 8 during the school year 2020-2021, including historical data for this student cohort. The NO-GAP research team was provided with school-level primary population data by the National Agency...
Aug 9, 2023 - Educational Statistics Data = Švietimo statistikos duomenys
Erentaitė, Rasa; Sevalneva, Daiva; Vosylis, Rimantas; Melnikė, Eglė; Morkevičius, Vaidas; Simonaitienė, Berita; Žvaliauskas, Giedrius, 2023, "NO-GAP: Student-Level Data: Cohort of 8th-Grade Students of the School Year 2021-2022", https://hdl.handle.net/21.12137/JGWXMA, Lithuanian Data Archive for SSH (LiDA), V1, UNF:6:jnU5/Cqi39/deN/o0mOQbg== [fileUNF]
This dataset covers anonymised student-level population data on students enrolled in grade 8 during the school year 2021-2022, including historical data for this student cohort. The NO-GAP research team was provided with student-level primary population data by the National Agenc...
Aug 9, 2023 - Educational Statistics Data = Švietimo statistikos duomenys
Erentaitė, Rasa; Sevalneva, Daiva; Vosylis, Rimantas; Melnikė, Eglė; Morkevičius, Vaidas; Simonaitienė, Berita; Žvaliauskas, Giedrius, 2023, "NO-GAP: School-Level Data: Cohort of 8th-Grade Students of the School Year 2021-2022", https://hdl.handle.net/21.12137/U2HQOP, Lithuanian Data Archive for SSH (LiDA), V1, UNF:6:8gVLBXXAtyKWvKAbBoRApQ== [fileUNF]
This dataset covers anonymised school-level population data on students enrolled in grade 8 during the school year 2021-2022, including historical data for this student cohort. The NO-GAP research team was provided with school-level primary population data by the National Agency...
Jul 31, 2023 - FEDORA: Interviews Dataset = FEDORA: Interviu duomenų rinkinys
Pučėtaitė, Raminta; Rauleckas, Rimantas; Levrini, Olivia, 2023, "FEDORA. Written Interviews and Artifacts of the Workshop Aimed to Elaborate on MoRRI Indicators, May 2023", https://hdl.handle.net/21.12137/Z3UQXM, Lithuanian Data Archive for SSH (LiDA), V1
The purpose of the study: the data collected was used to refine science literacy and science education indicator SLSE1 of the MORRI “Monitoring the evolution and benefits of Responsible Research and Innovation in Europe” to embrace the future and diversity dimensions and align th...
Jul 31, 2023 - FEDORA: Quantitative Survey Dataset = FEDORA: Kiekybinių tyrimų duomenų rinkinys
Pučėtaitė, Raminta; Rauleckas, Rimantas; Levrini, Olivia; Daugėlienė, Rasa; Jovarauskienė, Donata, 2023, "FEDORA. Limits and Potential of the Current Organization of Knowledge in Disciplines: Finish, Italian, Lithuanian and United Kingdom Practitioners Survey, February - March 2022", https://hdl.handle.net/21.12137/BN9XLN, Lithuanian Data Archive for SSH (LiDA), V1
The purpose of the study: to collect opinions of teachers, policy makers and policy implementers on the limits and potential of disciplinary and interdisciplinary science education in developing 21st century skills in Finland, Italy, Lithuania and the United Kingdom. Dataset "FED...
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