Integrating Artificial Intelligence in Learning Management System for TVET: Enhancing Teaching and Learning

Abstract

Technical and Vocational Education and Training is essential for providing learners with the skills necessary to fulfil the requirements of Industry 4.0. Learning Management Systems have traditionally facilitated the administration and delivery of education; however, their efficacy can be markedly improved by the use of Artificial Intelligence (AI). This research analyzes the impact of AI-integrated Learning Management Systems (AI-LMS) on the transformation of teaching and learning in Technical and Vocational Education and Training. This study examines contemporary literature to analyse how AI applications, such as adaptive learning platforms, intelligent tutoring systems, predictive analytics, chatbots, and simulations, personalize instruction, enhance engagement, and match training with labour market requirements. Research suggests that AI-LMS can establish dynamic, student-centered learning environments, enhance practical skills development, and alleviate administrative burdens for educators. This study concludes by underscoring the necessity for additional empirical research in vocational settings, alongside collaborative initiatives to tackle technological and ethical challenges. The successful integration of AI-LMS can modernise TVET, equipping students with the adaptability and technical skills required for future employment.