Problem-Based Learning for teaching real-time systems with Ada
DOI:
https://doi.org/10.17979/ja-cea.2025.46.12236Keywords:
Aprendizaje automático, Robótica, Autonomous Mobile Robots, Sistemas de tiempo real, Tiempo real, Enseñanza, DocenciaAbstract
Problem-Based Learning (PBL) is an effective methodology for fostering transferable skills across various fields. Its implementation encourages active student participation and enhances motivation, making it particularly valuable when addressing complex topics. The learning of basic concepts of Real-Time Systems (RTS), which are highly demanded due to their application in critical systems, is a clear example of this kind of topics. To address this challenge, a project was designed around an Ackermann mobile robot programmed in Ada, aiming to stimulate student interest in the Computer Control course of the Bachelor’s Degree in Industrial Electronics and Automation Engineering at the University of Almer´ıa. The project implements the pure pursuit control algorithm, allowing students to solve a classic control problem while reinforcing RTS concepts. A total of 25 students participated in the experience over five practical sessions. Evaluation through questionnaires and ex ante/ex post comparison showed significant improvements in the students’ understanding of RTS.
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Copyright (c) 2025 Fernando Cañadas Aranega, Antonio Barrientos Cruz, Manuel Berenguel Soria, Jose Carlos Moreno Úbeda, Francisco Rodríguez Díaz
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