Analysis of Student Achievement in School Activities: Experiences of School Leaders, November - December 2024https://hdl.handle.net/21.12137/L8LPWIErentaitė, RasaLašas, AiniusMorkevičius, VaidasSimonaitienė, BeritaVosylis, RimantasŽvaliauskas, GiedriusLithuanian Data Archive for SSH (LiDA)2025-06-252026-01-07T05:51:47ZThe purpose of the study: to investigate the opinions of school leaders (principals or vice-principals) in Lithuanian general education schools regarding the analysis of student achievement and its significance in school work. Major investigated questions: first, respondents were asked how often there is a need to analyse aggregated data on students’ achievements and who in the school is responsible for aggregating and analysing such data. They were asked about the purposes for which the school management analyses and aggregates student achievement data and which data are used to analyse student achievement. It was further asked to indicate which databases or systems and data analysis tools are used to analyse students’ achievement and what types of data analysis would be relevant for the school. The first two blocks of questions assessed how leaders view their own competences (i.e. self-efficacy). In the first block, respondents assessed their own capacity by finding aggregated results of national assessments for their school and by using national achievement data systems (I know where and how to get the results of the national assessments for my school; I know what data and reports I need to get to understand the situation of my school's students achievements; total 7). The second is to understand students’ achievement reports and to use achievement data to make data-driven decisions (I can understand the student’s achievement reports produced or generated for my school; I can understand the level of achievement of my school's students from the scores given in the national assessments; 9 in total). The third block of questions assessed the favourability of school leaders' attitudes towards students’ achievement analytics (Students achievement analytics is very useful for school leaders; Students achievement analytics is very useful for teachers; 11 in total). Socio-demographic characteristics: age, main position in the school, seniority in management, seniority in teaching, education, pedagogical qualifications, type of educational institution the school belongs to, general education curriculum provided by the school, subordination of the school, number of students, location of the school, number of socially disadvantaged students, achievement of students in the school in mathematics. Survey partners: <a href="https://www.lmva.eu" target="_blank">Lithuanian School Leaders Association</a> <a href="http://www.lga.vilnius.lm.lt" target="_blank">Lithuanian Association of Gymnasiums</a> <a href="https://www.progimnazijos.vilnius.lm.lt" target="_blank">Lithuanian Association of Progymnasiums</a> <a href="https://pagrindinesmokyklos.weebly.com" target="_blank">Lithuanian Association of Basic Schools</a>. The survey was conducted as part of the joint project between <a href="https://www.sonaro.eu" target="_blank">Sonaro Ltd</a> and Kaunas University of Technology "Innovative system for students’ data analysis, progress evaluation and achievement forecasting" (No 02-019-K-0027).Social Sciencesacademic achievementeducational assessmenttechnological literacydata analysiseducational administrationEnglishLithuanian2024-12-08Erentaitė, Rasa (Research Group – Educational Research, Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania [ORCID: 0000-0001-7006-637X])2025-05-302024-11-182024-12-082024-11-182024-12-08Survey dataLithuaniaThe 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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