Teaching Industrial Engineering Through Simulators Based on Gamification and XR Reality

Abstract

The effective integration of gamification in industrial engineering education is increasingly gaining attention for its potential to enhance student engagement and learning outcomes. At Tecnologico de Monterrey, we seek new and innovative activities 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 Industrial Engineering Department, focusing on using Enterprise Resource Planning (ERP) system simulators. These simulators are complemented by data visualization tools, project evaluation software, and lessons incorporating augmented and virtual reality (AR/VR) technologies. The primary objective is to assess how these tools influence students' learning experience and academic performance. The simulators utilized in the program replicate real-world ERP systems, providing a hands-on approach 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 of ERP systems' functionalities and interdependencies. Data visualization tools further supplement this learning by enabling students to analyze and interpret large datasets, fostering critical thinking and analytical skills essential for industrial engineers. Project evaluation tools embedded within the curriculum offer students the opportunity to manage and assess the progress of simulated projects. These tools are designed to mimic the project management challenges faced in the industry, encouraging students to develop strategic planning and resource management skills. The incorporation of AR/VR lessons Berglund (2023) adds an immersive dimension to the learning experience, allowing students to explore virtual factories, conduct virtual inspections, and interact with digital twins of industrial systems. This technology enhances engagement and provides deeper insights into system operations and problem-solving techniques.