- Ростока, Марина Львівна (orcid.org/0000-0002-1891-5482), Кардосо, Луїс (orcid.org/0000-0003-3748-5593) and Жигалюк, А. В. (orcid.org/0009-0005-4155-8152) (2025) Digital tools for visualizing pedagogical activities: from Big Data to an interactive interface for educational process participants Проблеми сучасних трансформацій. Серія: педагогіка та психологія (5). ISSN 2786-9199
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Abstract
The article highlights the problem of visualising pedagogical activity, which is currently characterised by the need to process large amounts of data (Big Data). The point is that the interfaces of analytical systems are often technocratic and not adapted to the cognitive requests of the subjects of the educational process, which, in turn, necessitates the scientific justification of a conceptual model for visualising pedagogical activity using digital tools for effective subject-subject interaction. The aim of the study is to conduct a theoretical analysis of digital tools for visualising pedagogical activity, in particular, to clarify the main aspects of how the structure of Big Data and its aesthetic, interactive presentation contribute to adaptive subject-subject interaction in the pedagogical process. The research design is based on the methodology of a transdisciplinary approach in education, which ensures the convergence of data engineering (ontology), psychology of perception (gnoseology) and the principles of UX/UI design (technology). The research methodology is based on the results of content analysis of scientific sources, comparative pedagogical analysis of existing models of visualisation of pedagogical activity, and methods of conceptual modelling and design. A visual-semiotic approach was used to study the influences. Other approaches to the visualisation of pedagogical activity are revealed and a classification of relevant digital tools is provided. The development of a conceptual (ontological) model of a visual-analytical dashboard for interactive subject-subject interaction is actualised. Certain contexts of knowledge about scientific concepts related to the representation of Big Data have been analysed and summarised, and integrated into the educational process. The psychological and didactic impact of organised Big Data on subjects of the educational process has been characterised. It has been proven that the key mechanism of interaction is personalisation based on Big Data, which stimulates metacognition. The importance of using ontological engineering to transform chaotic Big Data into an organised knowledge base is emphasised. The article is theoretical and analytical in nature.
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