Informatics Lesson Plans. Area C. Lesson Plans and Tasks for Grade IV Gymnasium Classhttps://hdl.handle.net/21.12137/ODYP1UBurbaitė, RenataKlizienė, IrinaAugustinienė, AldonaJakštienė, VitalijaKubiliūnas, RamūnasLithuanian Data Archive for SSH (LiDA)2025-11-212026-03-20T11:50:51Z<p>This dataset contains lesson plans and tasks for grade IV gymnasium class 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: Laura Gegeckienė, Ingrida Venytė, Marius Sketerskas.</p> <p> Area C. The lesson plans and tasks for grade IV gymnasium class are focused on developing data analysis skills, covering both the technological and conceptual aspects of data analysis. Significant progress is noted in information literacy, moving from basic data processing skills to a higher level – structuring, monitoring, visualising and decision-making in a data-driven context. These topics are closely related to 21st-century competencies and critical thinking, and the skills developed provide a foundation for effective interpretation of information in a variety of contexts, from personal financial planning to professional tasks in business or science.<p> Lesson plans and tasks <ol> <li>Information disclosure requirements and objectives (Laura Gegeckienė)</li> <li>Sorting and clustering data (Laura Gegeckienė)</li> <li>Subtotals and summary (Laura Gegeckienė)</li> <li>Visualization and chart creation (Ingrida Venytė)</li> <li>Data processing and filtering (Ingrida Venytė)</li> <li>Creation of textual reports (Ingrida Venytė)</li> <li>Introduction to data analysis using the Orange data exploration tools (Marius Sketerskas)</li> <li>Classification, clustering, decision tree using ORANGE (Marius Sketerskas)</li> <li>Applying ORANGE to solve text analysis and image identification tasks (Marius Sketerskas)</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. 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