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AI and Data Engineering Transforming Technical Education for Sustainability
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Author(s): Kiran Jagannadha Reddy (Walmart, USA)and Venkata Pradeep Reddy Pamaiahgari (The Wendy's Company, Bentonville, USA)
Copyright: 2025
Pages: 18
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.ch004
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Abstract
The integration of Artificial Intelligence (AI) and Data Engineering in technical education is revolutionizing learning methodologies, fostering sustainability, and preparing students for an evolving technological landscape. This chapter explores how AI-driven educational tools, adaptive learning systems, and data-driven insights enhance teaching efficiency, improve student engagement, and promote lifelong learning. Furthermore, it examines the role of big data analytics, machine learning, and cloud computing in optimizing curriculum design and decision-making processes. A key focus is the sustainable impact of AI and data engineering in technical education, including energy-efficient computing, ethical AI practices, and digital equity. The chapter highlights case studies, challenges, and future trends, providing a roadmap for educational institutions to harness AI and data engineering for a sustainable, technology-driven future.
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