Ontological approach to analysis of digital skills of users of analytical portals: experience of surveying UEEO editors

Abstract

The publication proposes the ontological approach used to research
digital skills of users of analytical portals based on surveying the
editors of the electronic encyclopedia of education. The authors
describe a method of using ontological knowledge representation
for
development of adaptive and context-sensitive surveys.
Research demonstrates how the ontological model of the analytical
wiki portal ecosystem expands the possibilities for adaptive
surveying, formalization of skill descriptors and aggregation of
behavioral evidence, by providing formalized knowledge about: a
taxonomy of skills and roles; a semantic structural model for
mapping the competency system (in the form of properties and
relationships); rules and queries for automated inference of
competency profiles and dynamic survey generation. This analysis
shows that ontologically based surveys meet the principles of FAIR
data (Findable, Accessible, Interoperable, Reusable) and provide
transparency of the methodology, reproducibility of results and the
possibility of data reuse in different contexts.