International Journal of Industrial Engineering and Management

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Forthcoming
Original Research Article

Development of a didactic solution for teaching concepts related to Digital Twins using Educational Robot

Vitoria de Melo Freires
Federal University of Amazonas, Departament of Production Engenerring, Manaus, Brazil
Atila Martins Lucas
Federal University of Amazonas, Departament of Production Engenerring, Manaus, Brazil
Roberto Higino Pereira da Silva
State University of Amazonas, Department of Electrical Enginnering, Manaus, Brazil
Ely Sena de Almeida
Federal University of Amazonas, Departament of Production Engenerring, Manaus, Brazil

Published 2025-11-20

abstract views: 3 // FULL TEXT ARTICLE (PDF): 1


Keywords

  • Engineering Education,
  • Computational Simulation,
  • Digital twin,
  • Asset Administration Shell

How to Cite

Freires, V. de M., Martins Lucas, A., Pereira da Silva, R. H., & de Almeida, E. S. (2025). Development of a didactic solution for teaching concepts related to Digital Twins using Educational Robot. International Journal of Industrial Engineering and Management, article in press. https://doi.org/10.24867/IJIEM-398

Abstract

Engineering education faces ongoing challenges in keeping pace with the technological demands driven by the need to apply Industry 4.0 concepts in student training. In response to this, the present study introduces the development of a pedagogical tool built around an educational robot produced through 3D printing. The aim is to integrate active learning methodologies with key Industry 4.0 technologies, such as Digital Twins, asset administration shells, and computational simulation, to create a practical and dynamic learning environment. This hands-on approach was implemented in a graduate-level course on Advanced manufacturing engineering, specifically in the Process simulation module. The activity involved the use of the robot alongside a real-time, bidirectional computational model capable of reading and writing data, applying the Digital Twin concept. The study followed a mixed-method action research design. Results from a student feedback survey revealed that 100% of participants agreed the experience with the computational robot helped solidify theoretical concepts. Furthermore, 77.3% gave the learning experience the highest possible rating, and 95.5% recognized the robot’s potential for use in other modules and courses. These findings suggest that this approach offers an effective strategy for engineering education that is aligned with the principles of Industry 4.0.

Article history: Received (April 23, 2025); Revised (October 2, 2025); Accepted (October 31, 2025); Published online (November 20, 2025)

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