Affiliation:
1. Abu Dhabi University, Abu Dhabi, UAE & University of Glasgow, Glasgow, UK
Abstract
Rapid technical breakthroughs and economic upheavals in the modern labour market require constantly evolving workforce capabilities. This change is sparked by AI, which introduces individualised learning paths and transforms conventional training methods. This study explores how artificial intelligence (AI) uses machine learning algorithms and natural language processing to create personalised training programmes and identify skill gaps.Analysing AI's capacity to deliver customised learning experiences, the abstract probes how AI systems adjust to different learners' preferences for speed, style, and degree of expertise. It explores intelligent tutoring systems, AI-powered recommendation engines, and adaptive learning systems, emphasising their function in selecting tailored information according to student performance and preferences. Case examples from the real world demonstrate how AI can improve worker training programmes in various sectors and how scalable and flexible it can be in huge organisations and small and medium-sized businesses.
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