| PDF: |
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Author(s): |
Dolidovich O. M., Gracheva A. S., Ivanov N. A., Ostylovskaya O. A., |
| Number of journal: |
2(75) |
Date: |
June 2026 |
| Annotation: |
The rapid digitalization of education is leading
to significant changes in traditional pedagogical approaches,
which now need to adapt to new technological and communicative
realities. There is a growing need for pedagogically
meaningful, non-formalized support for learners using information
and communication technologies. One promising form
of such support is digital scaffolding. The article examines
modern
strategies of digital scaffolding in an educational context.
The goal of the research is to systematize and pedagogically
justify the effectiveness of these strategies and identify prospects
for their development. The study hypothesizes that optimal
effectiveness of digital scaffolding is achieved through
the integration of artificial intelligence capabilities, pedagogical
support, and the development of students’ metacognitive
self-regulation. The research methodology is based on a review
and comparative analysis of publications from 2021 to 2026
in the Scopus, eLibrary, and CyberLeninka databases.
The study classifies four types of support (instructional, metacognitive,
affective, and social) and substantiates criteria
for their pedagogical appropriateness. It also formulates parameters
for assessing the quality of digital scaffolding, practical
recommendations, and directions for further research. The results
can be useful for methodologists, teachers, and researchers
in the field of digital didactics and pedagogical design. The limitations
of the work are related to the lack of longitudinal empirical
data. Promising areas of research include developing ethical
and regulatory frameworks for AI analytics in educational environments,
comparing the effectiveness of digital support models
in different ethnic and national groups, and studying the impact
of digital scaffolding on the development of creativity, tolerance
to uncertainty, and learning independence among students. |
| Keywords: |
adaptive learning, artificial intelligence in education,
collaborative learning, metacognitive regulation,
educational analytics, pedagogical support, personalization
of learning, scaffolding, digital didactics, digital educational
environment |
| For citation: |
Ivanov N. A., Dolidovich O. M., Ostylovskaya O. A., Gracheva A. S. Scaffolding strategies in the digital
educational environment: trends and development prospects. Biznes. Obrazovanie. Pravo = Business. Education. Law. 2026;
2(75):295—300. DOI: 10.25683/VOLBI.2026.75.1655. |