Data · dataset · 2025
Informatics Lesson Plans. Area D. Lesson Plans and Tasks for Grades 9–10 (I–II Gymnasium) Classes
Listed in LiDA
This dataset contains lesson plans and tasks for grades 9–10 (I–II gymnasium) classes in Area D (Technological Problem Solving) from the teaching guide "Informatics Lesson Plans: Ideas and Scenarios for Grades 5–12".
Description
Author of lesson plans and tasks: Eglė Rastapkevičienė. Area D. The lesson plans and tasks grades 9–10 (I–II gymnasium) classes perfectly reflect the realities of the current information society and the need for students to understand how digital identity verification processes work.
The plans demonstrate thematic consistency: they move from the user's perspective of digital services to an in-depth understanding of how the underlying infrastructure works. This is in line with the general computer science program's goal of developing not only technology users, but also creators who understand how technology works. Students are encouraged to explore, analyze, and design, rather than simply passively accepting technological reality.
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Lesson plans and tasks Personal identity verification in cyberspace (Eglė Rastapkevičienė) All lesson plans and tasks for Area D Lesson plans and tasks were prepared as a part of the project "Digital Transformation of Education ("EdTech") (No. 10-004-P-0001)", implemented under the Economic Recovery and Resilience Plan "Next Generation Lithuania", funded by the European Union's Economic Recovery and Resilience Instrument "NextGenerationEU".
Links
Where it is published
- Dataverse dataset page lida.dataverse.lt/dataset.xhtml?persistentId=hdl%3A21.12137%2FXWUVRV ↗
landing page · from lida dataverse lt
- Persistent identifier hdl.handle.net/21.12137/XWUVRV ↗
DOI / persistent id · from lida dataverse lt
Catalogue records · 1
- Dataverse API lida.dataverse.lt/api/datasets/:persistentId/?persistentId=hdl%3A21.12137%2FXWUV… ↗
metadata API · from lida dataverse lt
Topics
- Stated by source
- Computer and Information Science · Social Sciences
- From keywords
- Computer Science & AI · Social Science
- Inferred from text
- Information systems 70%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| LiDA | hdl:21.12137/XWUVRV | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4609 | enrichment · lida dataverse lt | taxonomy-embedding@1.1.0 | title+keywords+description (70%) |
| 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:computer-science-ai | mapping · 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 |