Application of the STEAM Methodology for the Design of a Scaled-Up Hydroprinting Robotic Arm using LEGO Mindstorms EV3

This paper presents the development and evaluation of a LEGO Mindstorms EV3-based robotic arm prototype designed to simulate an automated hydro-printing process. Using STEAM methodology, the prototype allowed students to apply fundamental programming, kinematics and automation concepts in an educational environment. Practices were carried out with 20 industrial engineering students, who were evaluated through a survey with Likert-type questions. The results showed that 85% of the students clearly understood the programming logic, re-flected in a median of 5. In addition, 82% of the students reported understanding the principles of arm motion and kinematics, with a median of 5. However, 22% of the students reported difficulties in understanding automation, with a median of 4. The design process of the prototype included the integration of motors, sensors and modular structures, which allowed the students to simulate a typical automated environment in industrial engineering. The results indicate that the prototype is effective in teaching key programming and kinematics concepts, but suggest the need to improve the educational approach to automation. This project reinforces the value of STEAM methodology in interdisciplinary teaching, providing contextualised and meaningful learning.