<p>One of the applications of the Metaverse is the creation of digital twins for training. In this study, we will analyze its application in plastic injection molding as a powerful educational tool that enables virtual replication of the entire man-ufacturing process, from mold preparation to the final product. Based on our experience in conventional technical and industrial training, we hypothesize that this technology will help improve hands-on learning and theoretical understand-ing without relying on costly physical facilities or material waste. To this end, a 3D replica of a plastic injection molding machine has been created, where students can interact by adjusting parameters such as mold and material temperature, injection speed, pressure applied during the injection cycle, plastic cooling and solidification time, etc. This interaction will allow students to see the direct effects of these parameters on the final product without having to use a physical machine. The result is deep experiential learning, where students can experiment and see the results in real time. The configurable data presented in the virtual machine have previously been analyzed in situ. Two types of materials and two different parts have been analyzed. We intend for this study to serve as a risk-free training tool for students, as well as an industrial resource to help save costs and resources and improve problem diagnosis and defect analysis. Ultimately, digital. twins represent a great opportunity to transform plastic injection molding training, providing an immersive, safe, and optimized educational experience. They prepare students for Industry 5.0, for the challenges of modern manufacturing, and for working with advanced technologies in smart factories.</p>