1 to 10 of 27 Results
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... |
Sep 20, 2023
Dataverse collection "NO-GAP: Population-Level Educational Data" contains anonymised data on two cohorts of students enrolled in the eighth grade during the school year 2020-2021 and 2021-2022, including the historical data for these student cohorts starting from the fourth grade... |
Sep 21, 2023
Dataverse collection "NO-GAP: Prototype of Educational Analytics Tool NO-GAP" contains open access code for the prototype of an analytical tool dedicated to monitoring and analyzing disparities in students‘ academic achievement at a school, municipal and national level. The code... |
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: 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... |
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: 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... |
Sep 6, 2023
Dataverse collection "NO-GAP: Survey Data with Derivative Variables" contains datasets, which expand the analytical possibilities of the National Surveys of Student Achievement (NSSA) data, by providing a set of derivative variables for the analyses of student achievement in the... |
Jul 28, 2023 - National Survey of Student Achievement (2012) = Nacionalinis mokinių pasiekimų tyrimas (2012)
National Agency for Education, 2023, "NSSA 2012: 4th Grade Students Study, 2012", https://hdl.handle.net/21.12137/Y8T6GV, Lithuanian Data Archive for SSH (LiDA), V1, UNF:6:k0pCnXbeNDbW0upfRPws/w== [fileUNF]
The purpose of the study: to provide impartial information for the school, its students, and their parents (caregivers, foster parents) about the achievements to make decisions on the further improvements of teaching and studying on student, teacher, class, school, municipality,... |
Jul 28, 2023 - National Survey of Student Achievement (2012) = Nacionalinis mokinių pasiekimų tyrimas (2012)
National Agency for Education, 2023, "NSSA 2012: 4th Grade Teachers Study, 2012", https://hdl.handle.net/21.12137/7DZBLT, Lithuanian Data Archive for SSH (LiDA), V3, UNF:6:ptl19RXNBpcL7G4J1ZIXIA== [fileUNF]
The purpose of the study: to provide impartial information for the school, its students, and their parents (caregivers, foster parents) about the achievements to make decisions on the further improvements of teaching and studying on student, teacher, class, school, municipality,... |