Dr. Dovilė Stumbrienė
Department: Cognitive Computing Group
Position: Researcher, Assistant
Theme Large-scale analysis of Lithuanian education data
Supervisor prof. dr. Audronė Jakaitienė
Study time 2014 10 01–2018 09 30
Aim: The purpose is to develop and suggest the methodology to construct composite indicator for education monitoring.
- To estimate the advantages and disadvantages of different modelling alternatives in the context of the education systems monitoring.
- To compare and identify the impact of the traditional formulation of composite indicators (fixed weighting) with DEA composite indicators (flexible weighting).
- To perform the uncertainty analysis for the composite indicators.