MODELS OF DIGITAL UNIVERSITIES AND THE QUALITY OF EDUCATION: CHALLENGES OF THE SIXTH TECHNOLOGICAL WAVE

The article presents an in-depth analysis and critical assessment of existing and prospective models of digital universities (DUs). The research is conducted through the prism of their alignment with the conditions and challenges of the sixth technological wave, which is characterized by the integration and amplification of achievements in nano-, bio-, information, and cognitive technologies (NBIC convergence) and the dominance of intelligent cyber-physical systems. The key technological, pedagogical, and managerial characteristics of each model are analyzed in detail, identifying their internal limitations and their potential for further development. Particular attention is paid to the systemic deficiencies of existing approaches in terms of developing human capital that possesses not only competencies but also meta-competencies for effective, impactful, and ethically responsible activities amidst exponential technological development, high uncertainty, and complexity. The critical importance of ensuring the quality of education as a fundamental attribute of the new-generation digital university is emphasized.

Publication Details

Journal
Quality Innovation Education
Published
2025-01-01
DOI
https://doi.org/10.31145/1999-513x-2025-2-56-63
Primary Topic
Prenatal Screening and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
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article

MODELS OF DIGITAL UNIVERSITIES AND THE QUALITY OF EDUCATION: CHALLENGES OF THE SIXTH TECHNOLOGICAL WAVE

Quality Innovation Education
Prenatal Screening and Diagnostics
article

MODELS OF DIGITAL UNIVERSITIES AND THE QUALITY OF EDUCATION: CHALLENGES OF THE SIXTH TECHNOLOGICAL WAVE

article en

Abstract

The article presents an in-depth analysis and critical assessment of existing and prospective models of digital universities (DUs). The research is conducted through the prism of their alignment with the conditions and challenges of the sixth technological wave, which is characterized by the integration and amplification of achievements in nano-, bio-, information, and cognitive technologies (NBIC convergence) and the dominance of intelligent cyber-physical systems. The key technological, pedagogical, and managerial characteristics of each model are analyzed in detail, identifying their internal limitations and their potential for further development. Particular attention is paid to the systemic deficiencies of existing approaches in terms of developing human capital that possesses not only competencies but also meta-competencies for effective, impactful, and ethically responsible activities amidst exponential technological development, high uncertainty, and complexity. The critical importance of ensuring the quality of education as a fundamental attribute of the new-generation digital university is emphasized.

Quality Innovation Education(2)
Openalex Percentile: Top 33%
Prenatal Screening and Diagnostics
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