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Sep 25, 2023 - Prototype of Educational Analytics Tool 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... |
Gzip Archive - 164.5 KB -
MD5: df3eaf7fb1e3f59031e865d5bdb2499e
Code = Kodas |
Gzip Archive - 69.7 KB -
MD5: a565829f1473b2988c890fcc9e779dde
LiDA internal documents related to the published code, to which access is not provided = LiDA vidiniai dokumentai, susiję su publikuotu kodu, prie kurių prieiga nesuteikiama.
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Plain Text - 3.7 KB -
MD5: 501106b2e5098306c6b022705a4be111
Description of the code and instruction how to use it = Kodo aprašas ir naudojimo instrukcija |
Sep 21, 2023Project NO-GAP = Projektas NO-GAP
Dataverse collection "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 covers a... |
Sep 20, 2023Project NO-GAP = Projektas NO-GAP
Dataverse collection "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. The co... |
Sep 6, 2023Project NO-GAP = Projektas NO-GAP
Dataverse collection "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 context... |
Sep 6, 2023 - FEDORA: Interviews Dataset = FEDORA: Interviu duomenų rinkinys
Rauleckas, Rimantas; Pučėtaitė, Raminta; Levrini, Olivia; Daugėlienė, Rasa; Janiūnaitė, Brigita; Jovarauskienė, Donata; Ioannidou, Olga; Rasa, Tapio; Laherto, Antti; Tasquier, Giulia, 2023, "FEDORA. Limits and Potential of the Current Organization of Knowledge in Disciplines: Interviews in Finland, Italy, Lithuania and the United Kingdom, 2022", https://hdl.handle.net/21.12137/WLWGYC, Lithuanian Data Archive for SSH (LiDA), V3
The purpose of the study: to generate knowledge on how multiple stakeholders in the formal educational institutions evaluate the current organization of knowledge in disciplines in Finland, Italy, Lithuania and the United Kingdom. The dataset contains transcripts of interviews wi... |
Adobe PDF - 542.3 KB -
MD5: ef228a78fa0803fde5b6fba6d03484ea
Klausimynas = Questionnaire |
Adobe PDF - 537.6 KB -
MD5: e0c13319766f4003a1a66d4f012041fc
Klausimynas = Questionnaire |