Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

71 to 80 of 622 Results
LiDA_SurveyData_0507_Codebook_v1.pdf
Oct 4, 2023 - NSSA 2012: 8th Grade Students Study, 2012
Adobe PDF - 1.8 MB - MD5: 86bb6f179a0aa09a76f77e749fc9e2d2
Documentation
Kodavimo knyga = Codebook
LiDA_SurveyData_0507_Internal_documents_v2.tar.gz
Oct 4, 2023 - NSSA 2012: 8th Grade Students Study, 2012
Gzip Archive - 5.6 MB - MD5: d27fcfa1dd1907e70fdb6090a6348b9a
Supplementary documentation
LiDA vidiniai dokumentai, susiję su publikuotu duomenų rinkiniu, prie kurių prieiga nesuteikiama = LiDA internal documents related to the published dataset, to which access is not provided.
Code of the Prototype of Educational Analytics Tool NO-GAP, July 2023
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...
LiDA_ResearchSoftware_0544_Code_v1.tar.gz
Sep 25, 2023 - Code of the Prototype of Educational Analytics Tool NO-GAP, July 2023
Gzip Archive - 164.5 KB - MD5: df3eaf7fb1e3f59031e865d5bdb2499e
Code
Software = Programinė įranga
LiDA_ResearchSoftware_0544_Internal_documents_v1.tar.gz
Sep 25, 2023 - Code of the Prototype of Educational Analytics Tool NO-GAP, July 2023
Gzip Archive - 69.7 KB - MD5: a565829f1473b2988c890fcc9e779dde
Supplementary documentation
LiDA internal documents related to the published software, to which access is not provided = LiDA vidiniai dokumentai, susiję su publikuota programine įranga, prie kurių prieiga nesuteikiama.
LiDA_ResearchSoftware_0544_ReadMe_v1.txt
Sep 25, 2023 - Code of the Prototype of Educational Analytics Tool NO-GAP, July 2023
Plain Text - 3.7 KB - MD5: 501106b2e5098306c6b022705a4be111
Documentation
Description of the software and instruction how to use it = Programinės įrangos aprašas ir naudojimo instrukcija
NO-GAP: Prototype of Educational Analytics Tool NO-GAP = NO-GAP: Mokinių pasiekimų analitikos įrankio NO-GAP prototipas(Kaunas University of Technology = Kauno technologijos universitetas)
NO-GAP: Prototype of Educational Analytics Tool NO-GAP = NO-GAP: Mokinių pasiekimų analitikos įrankio NO-GAP prototipas logo
Sep 21, 2023The Project Disparities in School Achievement from a Person and Variable-Oriented Perspective (2020-2023) = Projektas Akademinių pasiekimų netolygumai į asmenį ir į kintamąjį orientuotu požiūriu (2020-2023 m.)
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...
NO-GAP: Population-Level Educational Data = NO-GAP: Populiaciniai švietimo duomenys(Kaunas University of Technology = Kauno technologijos universitetas)
NO-GAP: Population-Level Educational Data = NO-GAP: Populiaciniai švietimo duomenys logo
Sep 20, 2023The Project Disparities in School Achievement from a Person and Variable-Oriented Perspective (2020-2023) = Projektas Akademinių pasiekimų netolygumai į asmenį ir į kintamąjį orientuotu požiūriu (2020-2023 m.)
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...
NO-GAP: Survey Data with Derivative Variables = NO-GAP: Apklausų duomenys su išvestiniais kintamaisiais(Kaunas University of Technology = Kauno technologijos universitetas)
NO-GAP: Survey Data with Derivative Variables = NO-GAP: Apklausų duomenys su išvestiniais kintamaisiais logo
Sep 6, 2023The Project Disparities in School Achievement from a Person and Variable-Oriented Perspective (2020-2023) = Projektas Akademinių pasiekimų netolygumai į asmenį ir į kintamąjį orientuotu požiūriu (2020-2023 m.)
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...
FEDORA. Limits and Potential of the Current Organization of Knowledge in Disciplines: Interviews in Finland, Italy, Lithuania and the United Kingdom, 2022
FEDORA. Limits and Potential of the Current Organization of Knowledge in Disciplines: Interviews in Finland, Italy, Lithuania and the United Kingdom, 2022
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...
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.