The program is designed for principals and teachers in general education schools who are responsible for analyzing students’ academic performance and monitoring school quality. Participants will gain knowledge about student performance data, indicators, accessibility, quality, and interpretation. They will learn to apply calculation methodologies for performance indicators and strengthen their skills in data analysis and educational research. In practical workshops, participants will use analytics tools adapted for schools, enabling them to forecast outcomes, identify at-risk groups, monitor progress, and implement individualized interventions. The program is based on the latest learning analytics and educational data mining technologies, aligns with the “Lithuania 2050” vision and the objectives of the National Progress Plan, and promotes evidence-based improvements in teaching and school management.
phone +370 682 91 750
email indre.baltrusaitiene@ktu.lt
Rasa Erentaitė holds a PhD in Social Sciences (Psychology) and is a senior research fellow at Kaunas University of Technology. She studies adolescent learning motivation, factors influencing academic achievement, and adaptation in educational environments. In recent years, she has led research on adolescents’ goals and academic performance and develops experimental data analytics tools. She is also a member of the editorial board of the scientific journal Identity and represents Lithuania in the European Society for Adolescent Research.
Berita Simonaitienė holds a PhD in Social Sciences (Educational Sciences) and is an associate professor and senior research fellow at Kaunas University of Technology. She researches learning strategies, curriculum management, teaching and learning, and interventions. She serves as an external evaluator for study programs in the field of Education Sciences and teacher training programs. Additionally, she is one of the authors of the influential document Good School Concept, approved in 2015 by the Lithuanian Minister of Education and Science.
Vaidas Morkevičius holds a PhD in Social Sciences (Sociology) and is a senior research fellow at Kaunas University of Technology in the research group “Civil Society and Sustainability,” as well as an associate researcher at the DAtA center. His main research areas include political communication, attitudes and behavior of citizens and elites, social structure and inequality, and social research methods. He has extensive experience teaching and consulting on quantitative data analysis software. He has contributed to the development of educational materials for statistical quantitative data analysis and computerized qualitative data analysis.
Rimantas Vosylis holds a PhD in Social Sciences (Psychology) and is a Senior Research Fellow at Kaunas University of Technology and Mykolas Romeris University (Scopus ID: 55130608800, ORCID iD: 0000-0002-1582-5991).
K. Donelaičio St. 73
44249 Kaunas, Lithuania
phone: +370 (671) 36 146
email mvg@ktu.lt
