SMART INCLUSIVE UNIVERSITY: A DIGITAL ECOSYSTEM MODEL FOR INCLUSIVE HIGHER EDUCATION

Authors

  • Kamola Makhkamova

DOI:

https://doi.org/10.5281/zenodo.21288326

Keywords:

inclusive education, Smart Inclusive University, digital ecosystem, artificial intelligence, Learning Analytics, Big Data, HEMIS, Learning Management System, Assistive Technologies, higher education, digital transformation, data-driven management.

Abstract

The rapid development of digital technologies, artificial intelligence (AI), and Industry
5.0 has created new opportunities for enhancing inclusive education in higher education institutions.
This study proposes a Smart Inclusive University model based on the integration of Higher Education
Management Information Systems (HEMIS), Learning Management Systems (LMS), Big Data, Learning
Analytics, AI, and Assistive Technologies into a unified digital ecosystem for managing inclusive
education services. A mixed-methods research approach, including systems and comparative analysis,
econometric forecasting, regression analysis, expert assessment, and international benchmarking, was
employed. Drawing on international experience and the context of Uzbekistan, the study presents a fivestage
digital ecosystem together with an organizational and economic implementation mechanism. The
proposed model supports the creation of digital learner profiles, the early identification of academic risks,
personalized learning pathways, and data-driven decision-making through the application of Learning
Analytics and artificial intelligence.

Author Biography

Kamola Makhkamova

Doctoral Student, Muhammad al-Khwarizmi
Tashkent University of Information Technologies

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Published

2026-07-01