International Journal of Educational Technology and Artificial Intelligence
Vol. 4 No. 1 (2025): Education and Artificial Intelligence

Mixed method Analysis on Dream of Smart Urbanism

Al-Mansouri, Ahmad (Unknown)
El-Din Abdallah, Nour (Unknown)
Hassanein, Leila (Unknown)



Article Info

Publish Date
10 Aug 2025

Abstract

The rapid pace of global urbanization has intensified the need for innovative solutions that enhance the livability, sustainability, and governance of cities. This study investigates the evolving landscape of smart urbanism by exploring how digital technologies—such as IoT, AI, and big data—are integrated into urban systems to address growing challenges. Adopting a mixed-method research design, the study combines quantitative surveys and qualitative interviews across global smart cities to capture citizen perceptions, technological impacts, and governance implications. NVivo software is employed for thematic analysis of qualitative data, revealing dominant themes such as convenience, digital access, mobility, and trust in technology. Findings highlight both the opportunities and challenges of smart urbanism, including issues of digital inclusion, data security, and institutional readiness. The study offers practical insights for policymakers, urban planners, and technologists aiming to implement citizen-centric, inclusive, and sustainable smart city strategies.

Copyrights © 2025






Journal Info

Abbrev

ijetai

Publisher

Subject

Computer Science & IT Languange, Linguistic, Communication & Media Other

Description

The International Journal of Educational Technology and Artificial Intelligence (IJETAI) is an open-access peer-reviewed journal that publishes articles that contribute new results in all educational technology and artificial intelligence areas. This journal aims to bring together researchers and ...