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.

Key words: ontological model; digital skills analysis; survey; wiki technology; electronic encyclopedia of education.