Augmented Reality in Industrial Training: A Comparative Analysis of Teaching Methods

This paper presents a comparative analysis of three distinct training methods – Augmented Reality, Guided Instruction, and Self-Directed Instruction – within an industrial setting, specifically a car manufacturing plant. The study assesses the efficacy of these methods across several metrics including learning efficiency, user satisfaction, and skill retention. The research highlights how Augmented Reality (AR) can enhance the training process by reducing time to competency, improving engagement, and fostering a deeper understanding of complex tasks. The findings indicate that AR, despite its initial learning curve, can outperform traditional methods in several key areas, notably in reducing the time required for training and enhancing participant motivation. The study also explores the emotional responses of participants, providing insights into the user experience associated with each training method. This paper argues for the broader adoption of AR in training modules, suggesting that AR technology can lead to more efficient, engaging, and effective training solutions, thus supporting the ongoing transformation towards Industry 4.0.