Informatics Lesson Plans. Area C. Lesson Plans and Tasks for Grades 7–8https://hdl.handle.net/21.12137/CNKEN2Burbaitė, RenataKlizienė, IrinaAugustinienė, AldonaJakštienė, VitalijaKubiliūnas, RamūnasLithuanian Data Archive for SSH (LiDA)2025-11-212026-03-20T11:52:23Z<p>This dataset contains lesson plans and tasks for grades 7–8 in Area C (Data Analysis and Information) from the teaching guide "Informatics Lesson Plans: Ideas and Scenarios for Grades 5–12".</p> <p>Authors of lesson plans and tasks: Skirmantė Vardauskaitė, Vanda Šankinienė, Alina Bložė.</p> <p> Area C. The lesson plans and tasks for grades 7–8 clearly demonstrate a focus on developing data analysis, storage, and interpretation skills through both theoretical and practical activities. Topics such as data compression, coding, and the recognition and encoding of different types of data help students develop not only a technical understanding of the nature of data, but also a broader foundation of information literacy necessary in today's information society.<p> Lesson plans and tasks <ol> <li>Compilation of various types of data (Skirmantė Vardauskaitė)</li> <li>Methods of encryption (Skirmantė Vardauskaitė)</li> <li>Types of data (Vanda Šankinienė)</li> <li>Data coding. Solving coding tasks (Vanda Šankinienė)</li> <li>Binary number conversion (Vanda Šankinienė)</li> <li>Data analysis using statistical methods. Use of spreadsheets. Use of cloud technology tools. (Alina Bložė)</li> </ol> <p><a href=https://lida.dataverse.lt/dataverse/InstitutionData_HiEd_KTU_EdTech_EduIPM_TopicC target="_blank"> All lesson plans and tasks for Area C</a></p> <p>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".</p>Computer and Information ScienceSocial Scienceseducation scienceeducational methodsinformation technology trainingcomputer science educationteacher trainingstudentsschoolchildrenEnglishLithuanianBurbaitė, R., Klizienė, I., Augustinienė, A., Jakštienė, V., & Kubiliūnas, R. (2025). Informatikos pamokų modeliavimas: 5–12 klasės pamokų idėjos ir scenarijai. Mokomoji knyga. Kaunas: Technologija., doi, 10.5755/e01.9786090219331, https://doi.org/10.5755/e01.97860902193312025-09-05Kubiliūnas, Ramūnas (Research Group – Smart Educational Technologies and Their Application, Faculty of Informatics, Kaunas University of Technology, Lithuania [ORCID: 0009-0006-5050-8007])Žvaliauskas, Giedrius (Center for Data Analysis and Archiving (DAtA), Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania [ORCID: 0000-0001-8970-0756])2025-09-052022-092024-06Other social science data<a href="https://vocabularies.cessda.eu/vocabulary/DataSourceType?code=ProcessesWorkflows" target="_blank"> Processes: Workflow(s)</a> (DDI Alliance CV for Data Source Type)Lithuania<p>The data is available to the users of the LiDA Dataverse repository under the <a href="https://creativecommons.org/licenses/by-sa/4.0" target="_blank">Creative Commons Attribution-ShareAlike 4.0 International licence (CC BY-SA 4.0)</a>, if not indicated otherwise. Individuals and organizations wishing to use data licensed differently must apply for access to the specific data (in written form or by email: <a href="mailto:data@ktu.lt">data@ktu.lt</a>). Regardless of the data access restrictions, everyone can browse and use all the descriptions of the data stored in the LiDA Dataverse repository (metadata, including fieldwork resources, research instruments and other data collection information) as well as other information under the <a href="https://creativecommons.org/licenses/by-sa/4.0" target="_blank">Creative Commons Attribution-ShareAlike 4.0 International licence (CC BY-SA 4.0)</a>.</p> <hr> <p>Duomenys yra prieinami LiDA Dataverse talpyklos vartotojams pagal <a href="https://cc.lnb.lt/cc-by-sa" target="_blank">„Creative Commons“ 4.0 priskyrimo ir analogiško platinimo tarptautinės viešosios licencijos (CC BY-SA 4.0)</a> sąlygas, jei nenumatyta kitaip. Jei norima naudoti kitaip licencijuojamus duomenis, reikia kreiptis dėl galimybės naudotis konkrečiais duomenimis (raštu ar el. paštu: <a href="mailto:data@ktu.lt">data@ktu.lt</a>). Nepriklausomai nuo prieigos prie duomenų apribojimų, visi norintieji gali peržiūrėti ir naudoti visų LiDA Dataverse talpykloje saugomų duomenų aprašus (metaduomenis, įskaitant lauko darbų vykdymo medžiagą, tyrimo instrumentus bei kitą su duomenų surinkimu susijusią informaciją) ir kitą informaciją pagal <a href="https://cc.lnb.lt/cc-by-sa" target="_blank">„Creative Commons“ 4.0 priskyrimo ir analogiško platinimo tarptautinę viešąją licenciją (CC BY-SA 4.0)</a>.</p> <img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-sa/4.0/88x31.png"/>