Data · dataset · 2025
Informatics Lesson Plans. Area B. Lesson Plans and Tasks for Grades 7–8
Listed in LiDA
This dataset contains lesson plans and tasks for grades 7–8 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: Neringa Kušlienė, Dalia Balčiūnienė, Aldona Alkauskienė, Daiva Vaičiulionienė, Dovilė Žurauskienė, Renata Ališauskienė. Area B. The lesson plans and tasks for grades 7–8 have a consistent design, conceptually combining the principles of computer science teaching with real classroom activities.
The curriculum content is developed logically, from introduction topics that introduce students to the development of computers and the basics of programming, to advanced aspects of algorithms and program testing.. Lesson plans and tasks The development of computers (Neringa Kušlienė) The algorithms and programs (Neringa Kušlienė) The algorithms, their properties, and methods of recording (Dalia Balčiūnienė) Sequential steps (linear algorithms) (Neringa Kušlienė) Linear algorithms.
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Operations with integers (Aldona Alkauskienė) Linear algorithms. Division of integers (Aldona Alkauskienė) Simple conditional algorithms (Daiva Vaičiulionienė) Connecting multiple conditions with logical operations (Daiva Vaičiulionienė) Complicated conditional algorithms (Daiva Vaičiulionienė) The role of comments in programming (Dovilė Žurauskienė) Step-by-step testing of the program (Dovilė Žurauskienė) Program testing using selected environment testing tools (Dovilė Žurauskienė) The programming environment and its main elements (Renata Ališauskienė) Conditional algorithms (Renata Ališauskienė) Repetition of actions – loops (Renata Ališauskienė) 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%2FO9FQ52 ↗
landing page · from lida dataverse lt
- Persistent identifier hdl.handle.net/21.12137/O9FQ52 ↗
DOI / persistent id · from lida dataverse lt
Catalogue records · 1
- Dataverse API lida.dataverse.lt/api/datasets/:persistentId/?persistentId=hdl%3A21.12137%2FO9FQ… ↗
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 69%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| LiDA | hdl:21.12137/O9FQ52 | 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 (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: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 |