Data · dataset · 2023
Code of the Prototype of Educational Analytics Tool NO-GAP, July 2023
Listed in LiDA
This publication contains code of the prototype of educational analytics tool NO-GAP.
Description
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 different information. Therefore, the code files are also divided into three folders (school (mokyklos), municipal (savivaldybes), national (salies)). Each folder contains sequentially numbered graph codes.
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For example, in the "mokyklos" folder, the R file "mokyklos_1modulis1" represents the first graph of the first module of the school level. There are also additional code files and folders: - "DEMO" folder: Files creating data for the demo user (for prototype presentations) - "duomenys ir rodikliai" folder: Files used in the prototype to tell the user what data and metrics were used to create the application - "filtrai" folder: Files containing messages that are shown for filtered schools (these schools do not see visualizations) - "savokos" folder: Files used in the prototype to explain the main concepts and definitions - "titulinis" folder: Files used for the title pages for all three levels (logo, general information) - "duomenu_paruosimas.R": R file used for data preprocessing - "nogap_dashboard.R": The main prototype code that calls all the others.
How to run the prototype? In order to run the prototype locally, you must have the data files: "mokinys.csv" "mokykla.csv" "user_base.csv" "FILTRAI.sav" "ISVESTINIAI KINTAMIEJI.sav". Then, after changing the paths of the files in the "duomenu_paruosimas.R" file, run the "nogap_dashboard.R" code.
Software code "Code of the Prototype of Educational Analytics Tool NO-GAP, July 2023" and its metadata were produced implementing project "Disparities in School Achievement from a Person and Variable-Oriented Perspective: A Prototype of a Learning Analytics Tool NO-GAP" from 2020 to 2023. Project leader is chief research fellow Rasa Erentaitė. Project is funded by the European Regional Development Fund according to the 2014–2020 Operational Programme for the European Union Funds’ Investments, under measure’s No. 01.2.2-LMT-K-718 activity “Research Projects Implemented by World-class Researcher Groups to develop R&D activities relevant to economic sectors, which could later be commercialized” under a grant agreement with the Lithuanian Research Council (LMTLT).
Links
Where it is published
- Dataverse dataset page lida.dataverse.lt/dataset.xhtml?persistentId=hdl%3A21.12137%2F5SAURM ↗
landing page · from lida dataverse lt
- Persistent identifier hdl.handle.net/21.12137/5SAURM ↗
DOI / persistent id · from lida dataverse lt
Catalogue records · 1
- Dataverse API lida.dataverse.lt/api/datasets/:persistentId/?persistentId=hdl%3A21.12137%2F5SAU… ↗
metadata API · from lida dataverse lt
Topics
- Stated by source
- Computer and Information Science · Social Sciences
- From keywords
- Social Science
- Inferred from text
- Specialist studies in education 69%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| LiDA | hdl:21.12137/5SAURM | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3904 | enrichment · lida dataverse lt | taxonomy-embedding@1.1.0 | title+keywords+description (69%) |
| concepts[field].dataverse_subject:computer-and-information-science | source · lida dataverse lt | connector:lida_dataverse_lt@1.0.0 | /subjects |
| concepts[field].dataverse_subject:social-sciences | source · lida dataverse lt | connector:lida_dataverse_lt@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · lida dataverse lt | connector:lida_dataverse_lt@1.0.0 | /subjects |
| created_date | source · lida dataverse lt | connector:lida_dataverse_lt@1.0.0 | |
| description | source · lida dataverse lt | connector:lida_dataverse_lt@1.0.0 | /description |
| publication_date | source · lida dataverse lt | connector:lida_dataverse_lt@1.0.0 | |
| title | source · lida dataverse lt | connector:lida_dataverse_lt@1.0.0 | /name |
| updated_date | source · lida dataverse lt | connector:lida_dataverse_lt@1.0.0 | |
| version_label | source · lida dataverse lt | connector:lida_dataverse_lt@1.0.0 |