Two main targets: firstly, to examine through a mixed methods approach how undergraduate students of a mid-sized public Greek University perceived the unexpected changes from face-to-face on campus to synchronous online education due to COVID-19; secondly, to use a multivariate exploratory methodology to cluster the students based on their characteristics.

RESEARCH ON THE USES OF OPEN SOFTWARE ON QDA

Publish original research based on art related surveys and open data as well as socio-spatial analyses of the internal structure of online art sites and exhibitions, utilizing state of the art tools and methods from machine learning to data visualization. This Art Analytics Research Project is dedicated to the exploration and analysis of art markets, focusing on online art sales and auctions and aims in assisting arts investment decisions in a rigorous and impartial manner.

The definition of variables and classes, driven by the Taxonomy of Mental Skills, Learning Levels and the Taxonomy of Learning Objectives so to Map phrase data in School Textbooks. The aim is to draw valuable conclusions on learning levels, ethical values and attitudes, on which Curricula attach major importance. Data analysis tools, such as Correspondence Analysis and Hierarchical Clustering are used, introducing a new methodology in educational research, which we call Geometric Didactical Analysis — (Ge.Di.An.).

To explore qualitative and quantitative multidimensional data from social sciences and the humanities using methods implemented in various R packages.