Teaching Industrial Engineering Through Simulators Based on Gamification and XR Reality

The effective integration of gamification in industrial engineering education is increasingly gaining attention for itspotential to enhance student engagement and learning outcomes. At Tecnologico de Monterrey, we seek new and innovativeactivities to improve the learning process. This research shows the results in three years of teaching with the MxREP ERP,Quality, Statistics, Project Management, and Data Science, implementing gamified classroom activities within the IndustrialEngineering Department, focusing on using Enterprise Resource Planning (ERP) system simulators. These simulators arecomplemented by data visualization tools, project evaluation software, and lessons incorporating augmented and virtualreality (AR/VR) technologies. The primary objective is to assess how these tools influence students' learning experience andacademic performance. The simulators utilized in the program replicate real-world ERP systems, providing a hands-onapproach to understanding complex business processes and decision-making scenarios. Through interactive simulations,students can apply theoretical knowledge in controlled, risk-free environments, thereby reinforcing their comprehension ofERP systems' functionalities and interdependencies. Data visualization tools further supplement this learning by enablingstudents to analyze and interpret large datasets, fostering critical thinking and analytical skills essential for industrialengineers. Project evaluation tools embedded within the curriculum offer students the opportunity to manage and assessthe progress of simulated projects. These tools are designed to mimic the project management challenges faced in theindustry, encouraging students to develop strategic planning and resource management skills. The incorporation of AR/VRlessons Berglund (2023) adds an immersive dimension to the learning experience, allowing students to explore virtualfactories, conduct virtual inspections, and interact with digital twins of industrial systems. This technology enhancesengagement and provides deeper insights into system operations and problem-solving techniques.