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From Data to Action: Optimizing Resources in TVET Through AI and Big Data Insights
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Author(s): Gowtham Kumar Reddy Mittoor (The Wendy's Company, Bentonville, USA)and Suresh Putteti (Zoominfo, Bentonville, USA)
Copyright: 2025
Pages: 12
Source title:
Integrating AI and Sustainability in Technical and Vocational Education and Training (TVET)
Source Author(s)/Editor(s): Ali Sorayyaei Azar (University of Malaya, Malaysia), Shashi Kant Gupta (Eudoxia Research University, USA), Hamed Taherdoost (Department of Arts, University Canada West, Canada & GUS Institute, Global University Systems, UK & College of Technology and Engineering, Westcliff University, USA & Gisma University of Applied Sciences, Germany & Q Minded, Quark Minded Technology, Canada & Research and Development Department, Hamta Business Corporation, Canada)and Fahima Alhamaty (Harvard Business Review, Kuwait)
DOI: 10.4018/979-8-3373-1142-5.ch008
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Abstract
Technical and Vocational Education and Training (TVET) institutions are increasingly leveraging Artificial Intelligence (AI) and Big Data to enhance resource allocation, optimize decision-making, and improve educational outcomes. This chapter explores how AI-driven analytics and Big Data insights can be utilized to streamline curriculum design, personalize learning experiences, and enhance operational efficiency in TVET systems. By examining real-world case studies and data-driven strategies, this chapter highlights how predictive modeling, intelligent automation, and advanced analytics can drive cost-effective and high-impact resource utilization. Furthermore, it discusses challenges, ethical considerations, and future directions for integrating AI and Big Data into TVET, ensuring sustainable and inclusive growth in skill development and workforce readiness.
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