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Data · dataset · 2025

Informatics Lesson Plans. Area B. 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 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: Olga Bielko, Deividas Urbonas, Rasa Vilimienė-Jurkė, Jolita Lazauskienė. Area B. The lesson plans and tasks for grades 9–10 (I–II gymnasium) classes are characterised by thematic and methodological consistency in lesson content and a focus on developing higher-level programming skills.

The lesson topics demonstrate a targeted deeper learning process – from working with external data to systematic program design. Lesson plans and tasks Use of external data. Keeping initial data in text files.

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Reading from a file (linear and conditional algorithms) (Olga Bielko) Use of external data. Saving results in text files. Writing to a file (linear and conditional algorithms) (Olga Bielko) Use of external data.

Storage of initial data in text files. Reading from a file and writing results to a file (loops) (Olga Bielko) FOR loops (Deividas Urbonas) The importance of subroutines in programming (Rasa Vilimienė-Jurkė) Subroutines when a value is passed as a parameter (Rasa Vilimienė-Jurkė) Solving problems using subroutines when a value is passed as a parameter (Rasa Vilimienė-Jurkė) Introduction to software design (Jolita Lazauskienė) Breaking software design tasks into component parts (Jolita Lazauskienė) Program design: practical study (Jolita Lazauskienė) 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".

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Inferred from text
Information systems 69% · Text 75%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
LiDAhdl:21.12137/KJP7UF13 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4609enrichment · lida dataverse lttaxonomy-embedding@1.1.0title+keywords+description (69%)
concepts[field].dataverse_subject:computer-and-information-sciencesource · lida dataverse ltconnector:lida_dataverse_lt@1.0.0/subjects
concepts[field].dataverse_subject:social-sciencessource · lida dataverse ltconnector:lida_dataverse_lt@1.0.0/subjects
concepts[field].local:field:computer-science-aimapping · lida dataverse ltconnector:lida_dataverse_lt@1.0.0/subjects
concepts[field].local:field:social-sciencemapping · lida dataverse ltconnector:lida_dataverse_lt@1.0.0/subjects
concepts[modality].local:modality:textenrichment · lida dataverse ltkeyword-concept-rules@1.0.0title+description (75%)
created_datesource · lida dataverse ltconnector:lida_dataverse_lt@1.0.0
descriptionsource · lida dataverse ltconnector:lida_dataverse_lt@1.0.0/description
publication_datesource · lida dataverse ltconnector:lida_dataverse_lt@1.0.0
titlesource · lida dataverse ltconnector:lida_dataverse_lt@1.0.0/name
updated_datesource · lida dataverse ltconnector:lida_dataverse_lt@1.0.0
version_labelsource · lida dataverse ltconnector:lida_dataverse_lt@1.0.0