21.12137/CNKEN2
Burbaitė, Renata
Renata
Burbaitė
https://orcid.org/0000-0002-6246-9117
Department of Software Engineering, Faculty of Informatics, Kaunas University of Technology, Lithuania
Klizienė, Irina
Irina
Klizienė
https://orcid.org/0000-0003-1914-7355
Research Group – Educational Research, Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania
Augustinienė, Aldona
Aldona
Augustinienė
https://orcid.org/0000-0003-4285-4410
Research Group – Educational Research, Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania
Jakštienė, Vitalija
Vitalija
Jakštienė
https://orcid.org/0000-0001-8301-1108
Research Group – Smart Educational Technologies and Their Application, Faculty of Informatics, Kaunas University of Technology, Lithuania
Kubiliūnas, Ramūnas
Ramūnas
Kubiliūnas
https://orcid.org/0009-0006-5050-8007
Research Group – Smart Educational Technologies and Their Application, Faculty of Informatics, Kaunas University of Technology, Lithuania
Informatics Lesson Plans. Area C. Lesson Plans and Tasks for Grades 7–8
Lithuanian Data Archive for SSH (LiDA)
2025
Computer and Information Science
Social Sciences
education science
educational methods
information technology training
computer science education
teacher training
students
schoolchildren
Information technology
Higher and further education
Bložė, Alina
Alina
Bložė
Šankinienė, Vanda
Vanda
Šankinienė
Vardauskaitė, Skirmantė
Skirmantė
Vardauskaitė
Lithuanian Data Archive for Social Sciences and Humanities
Center for Data Analysis and Archiving (DAtA), Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania
Center for Data Analysis and Archiving (DAtA)
Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania
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])
2025-11-21
2025-09-05
2025-09-05
2025-11-21
Other social science data
LiDA_InstitutionData_0590
10.5755/E01.9786090219331
1880313
application/pdf
1.0
Custom terms specific to this dataset
<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>
<p>
The main language of the lesson plans and tasks is Lithuanian (lit).
</p>
Lithuania
Kaunas, Lithuania
European Union's Economic Recovery and Resilience Instrument "NextGenerationEU"
10-004-P-0001