Pryhodii, Mykola (orcid.org/0000-0001-5351-0002) (2026) Intelligent educational systems as a tool for modernising mechanisms for ensuring the quality of vocational and professional pre-higher education . Publishing House of University of Technology, Katowice, Poland, pp. 63-71. ISBN 978-83-68422-17-7
|
Text
Pryhodii26.pdf Download (425kB) |
Abstract
The digital transformation of education drives the shift from paper-based documentation to integrated intelligent systems for managing educational data, which is especially relevant for vocational and pre-higher education under conditions of high learner mobility and an unstable educational environment. Intelligent educational systems (IES) provide personalized learning, automated assessment, and support for managerial decision-making based on big data analytics and artificial intelligence algorithms. The use of learning analytics enables early identification of academic risks, adaptation of learning trajectories, and increased transparency of internal quality assurance procedures. Effective integration of IES requires the development of a regulatory framework, digital maturity of educational institutions, and training of instructors and administrative staff. Beyond technical aspects, ethical standards, cybersecurity, and equal access to digital resources are essential. Implementing IES transforms educational process management and contributes to enhancing the efficiency, transparency, and resilience of the education system in the digital era.
Downloads
Downloads per month over past year
Actions (login required)
![]() |
View Item |


