Book chapter 2025

AI-driven pedagogy and assessment in TVET: Transforming education through AI - Enhancing pedagogy and assessment in TVET

FS
Faisal, Syed Mohd
 KW
Khan, Wasim
 IM
Ishrat, Mohammad
Integrating AI and Sustainability in Technical and Vocational Education and Training (TVET)
Journal · pp. 127-150
Abstract

AI-driven pedagogy and assessment in Technical and Vocational Education and Training (TVET) are transforming traditional educational practices by introducing adaptive learning, immersive experiences, and intelligent tutoring systems. These technologies personalize learning paths, enhance student engagement, and provide real- time feedback, ensuring competency- based education. Immersive tools like VR and AR offer hands- on training, while digital credentialing validates skills transparently. Despite challenges like data privacy, algorithmic bias, and digital equity, ethical AI integration promises inclusive and effective education. By leveraging AI, TVET can enhance lifelong learning, global collaboration, and workforce readiness, aligning education with evolving industry needs. © 2025, IGI Global Scientific Publishing. All rights reserved.

Keywords

Author Keywords

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Index Keywords

Teaching Engineering education Personnel training Apprentices Students student engagement Learning paths Immersive Adaptive learning Technical and vocational education and trainings Educational robots Algorithmics Hands-on-trainings Intelligent tutoring Real-time feedback Tutoring system
Author Affiliations
K L Deemed to be University, Vaddeswaram, AP, India
Symbiosis Institute of Technology, Pune, MH, India
Funding & Acknowledgements
No funding information
References 10 References
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9 ICT Enabled Tvet Education A Systematic
10 Kenya Journal of Technical and Vocational Education and Training Vol, (2024)
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