Data · dataset · 2025
Informatics Lesson Plans. Area B. Lesson Plans and Tasks for Grades 5–6
Listed in LiDA
This dataset contains lesson plans and tasks for grades 5–6 in Area B (Algorithms and programming) from the teaching guide "Informatics Lesson Plans: Ideas and Scenarios for Grades 5–12".
Description
Authors of lesson plans and tasks: Gitana Sabaliauskienė, Diana Šeštokienė, Rasa Sendzikienė, Ginta Azguridienė, Žydronė Mockuvienė, Jūratė Rudzinskienė. Area B. The lesson plans and tasks for grades 5–6 provide a sequential, systematic, and environmentally appropriate introduction to the fundamentals of algorithmic thinking and programming, based on creativity, exploration, and creative application.
All topics in the lesson plans are introduced using Scratch, a visual programming language that is familiar to students, as well as other platforms such as Code.org, which help to convey abstract programming concepts in an understandable and engaging way. Lesson plans and tasks Cloud technologies (Lina Dargužienė) Applied programs (Lina Dargužienė) Mobile phone: friend or enemy in your pocket? (Lina Dargužienė) Digital technology alignment and integration (Mindaugas Požėla) Cloud technologies (Mindaugas Požėla) Source selection, reliability (Mindaugas Požėla) Introduction to the Excel spreadsheets(Inga Kublickienė) Calculations using formulas(Jūratė Šukelienė) Calculations using functions (Jūratė Šukelienė) Create tables and functions using software ""Microsoft Excel"" (Arnas Stonys) Calculating percentages to save the desired amount to meet your needs (Inga Kublickienė) Introduction to VAT and discount calculation (Inga Kublickienė) Real-life problem solving using a calculator(Ina Liniova) All lesson plans and tasks for Area B 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%2FCUVMOU ↗
landing page · from lida dataverse lt
- Persistent identifier hdl.handle.net/21.12137/CUVMOU ↗
DOI / persistent id · from lida dataverse lt
Catalogue records · 1
- Dataverse API lida.dataverse.lt/api/datasets/:persistentId/?persistentId=hdl%3A21.12137%2FCUVM… ↗
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
- Curriculum and pedagogy 68%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| LiDA | hdl:21.12137/CUVMOU | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3901 | enrichment · lida dataverse lt | taxonomy-embedding@1.1.0 | title+keywords+description (68%) |
| 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 |