Kurdish Studies

ISSN: 2051-4883 | e-ISSN: 2051-4891
Email: editor@kurdishstudies.net

The Usefulness of Big Data and IoT/AI at Dubai University

Shankar Subramanian Iyer
DBA, Faculty, Westford University College, Al Tawuun, Sharjah, UAE,
Amit K. Singh
Faculty, Westford University College, Al Tawuun, Sharjah, UAE
Raman Subramanian
Associate Dean, Westford University College, Al Tawuun, Sharjah, UAE
Fernando Eraña Reyes, Jr
Faculty and Course Leader, Westford University College
Firoz Khan
Faculty, Westford University College, Al Tawuun, Sharjah, UAE
Ansarullah Tantry
Associate Faculty, Westford University College, Al Tawuun, Sharjah, UAE
Soofi Anwar
Associate Dean, Westford University College, Al Tawuun, Sharjah
Amritha Subhayan Krishnan
Faculty, Westford University College, Al Tawuun, Sharjah, UAE
Keywords: Big Data, IoT, AI, Education, Dubai University, Personalized Learning, Campus Operations, Research, Innovation..

Abstract

Digital transformation is disrupting most sectors and most so the education sector. Universities across the world are using technology to reach out to students and to deliver classes remotely enabling students and staff to adopt modern emerging technologies. Dubai University, based in the heart of a technological hub, has the unique opportunity to leverage cutting-edge technologies like Big Data, the Internet of Things (IoT), and Artificial Intelligence (AI) to revolutionize its academic and operational landscape. This research study explores the usefulness of emerging technologies in enhancing Educational Experiences by analyzing Big Data of student learning patterns, engagement levels, and performance to unlock personalized learning pathways, adaptive courseware, and targeted interventions. AI-powered tutoring systems and virtual labs offer immersive and customized learning experiences shortly. IoT sensors can monitor and manage energy consumption, building security, and resource allocation, leading to sustainable and efficient campus operations. AI-powered systems can automate administrative tasks, streamline processes, and provide predictive maintenance for facilities. The main contribution of the study is using PLS-SEM modeling to analyze Big Data enabling researchers to extract insights from vast datasets and make data-driven discoveries. AI-powered tools can aid in research design, data analysis, and scientific simulation, fostering a culture of innovation. This study will employ a mixed-method approach, utilizing quantitative data analysis of existing university data sets and qualitative interviews with stakeholders. The findings will contribute to developing a strategic roadmap for the optimal integration of Big Data, IoT, and AI within Dubai University's ecosystem. This research aims to position Dubai University as a pioneer in education and innovation, setting a benchmark for higher education institutions in the region and beyond. The study aims to provide insights to empower decision-makers at Dubai University to make well-informed choices regarding the adoption and integration of emerging technologies. The study facilitates strategic planning by comprehensively grasping the challenges and opportunities presented by digital transformation. Moreover, it guides resource allocation and offers recommendations for leveraging data analytics to support students who may be at risk.

SCImago Journal & Country Rank

Keywords

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