Sesiones plenarias

“Innovación y Transformación en la Educación en Ingeniería: IA, Impacto Social e Industria 5.0"

Idiomas: Español, Inglés y Portugués
Organizador: Spanish and Portuguese Chapters of Education of IEEE and TAEE
Ponentes:

	Anikó Costa Anikó Costa is an Assistant Professor in the Department of Electrical and Computer Engineering at NOVA University Lisbon, and a Senior Researcher at CTS-UNINOVA. She has a PhD in Electrical and Computer Engineering with specialization in Digital Systems. Her research focuses on Petri Nets, Embedded Systems, Hardware/Software Co-Design, and reconfigurable platforms for cyber-physical systems. She has developed innovative model-driven approaches for distributed controllers and has been cited by over 848 researchers worldwide. Professor Costa is an active member of the IEEE. She is the Chair of the Education Chapter of the Portugal Section and former Chair of the Women in Engineering Portugal. She also vice-president of the WoSTEM (Women in STEM) initiatives.
	Sergio Martin Catedrático de Ingeniería Telemática de la UNED, donde es Vicerrector Adjunto de Tecnologías Educativas, coordinando el proyecto de IA generativa para enseñanza y aprendizaje en la UNED. Presidente electo de del capítulo español de la Sociedad de Educación del IEEE.
	José Barata José Barata is a Full Professor in the Department of Electrical and Computer Engineering at NOVA School of Science and Technology (NOVA-FCT), NOVA University Lisbon, and a senior researcher at UNINOVA's Centre of Technology and Systems (CTS). He leads the Robotics and Industrial Complex Systems (RICS) research group, conducting research in smart manufacturing, Industry 4.0/5.0, robotics, autonomous systems, and complex adaptive systems. He has coordinated and participated in numerous European and national research projects in areas such as intelligent manufacturing, cybersecurity, service robotics, and digital innovation. He currently serves as Scientific Coordinator of the Smart Farm Collaborative Laboratory (SFCOLAB). Prof. Barata's research focuses on smart manufacturing, cyber-physical systems, multi-agent systems, and autonomous robotics. He has collaborated with leading industrial partners including Siemens, Festo, Philips, and Electrolux, contributing to the development of foundational Industry 4.0 concepts and industrial demonstrators. He has authored more than 200 scientific publications, received over 5,000 citations, and serves on several IEEE and IFAC technical committees related to industrial agents, cybernetics, automation, and engineering education.

Moderan:

Ponencias:

Título: Applied Learning for Social Impact: Adapting Toys for Vulnerable Children.

Adapting Toys for Vulnerable Children presents a four-week project-based learning experience within a third-year Electrical and Computer Engineering program, where students apply engineering knowledge to improve accessibility for children with special needs, particularly those with Cerebral Palsy. Working in small teams, students analyze and reverse-engineer commercial toys, identify barriers to interaction, and implement low-cost electronic and electromechanical adaptations that enable alternative methods of activation while preserving the original functionality and play experience. Through this hands-on challenge, students develop technical competencies in embedded systems, circuit analysis, and hardware modification, while also cultivating empathy, teamwork, and awareness of the social impact of engineering solutions. The project demonstrates how applied learning can address real-world inclusion challenges, showing that simple and affordable adaptations can significantly enhance play opportunities and quality of life for vulnerable children.

Título: Nuevos roles del profesorado en tiempos de la IA generativa

Resumen: La inteligencia artificial generativa está transformando la educación y redefiniendo el papel del profesorado, que pasa de transmitir contenidos y evaluar respuestas a diseñar experiencias de aprendizaje, formular problemas relevantes, verificar procesos y fomentar el pensamiento crítico. Esta ponencia mostrará las nuevas posibilidades para personalizar el aprendizaje, automatizar tareas y crear materiales educativos, al tiempo que advierte sobre los retos éticos, los sesgos y la necesidad de desarrollar nuevas competencias para integrar la IA de forma responsable.

Título: Teaching Agent-Based Manufacturing Under Industry 5.0

Industry 5.0 delineates a socio-technical transformation in manufacturing, conceptualizing a human-centric paradigm that harmonizes advanced cyber-physical architectures with human cognition, systemic resilience, and environmental sustainability. Central to this operational framework is Agent-Based Manufacturing (ABM), a decentralized control architecture wherein autonomous, heterogeneous, and intelligent software agents engage in cooperative decision-making across distributed production networks. As ABM emerges as a critical determinant of next-generation industrial agility, contemporary pedagogical methodologies must be re-engineered to equip learners with the competencies required to architect, optimize, and interface with these multi-agent systems. Educating the industrial workforce in ABM under the strictures of Industry 5.0 necessitates the synthesis of multi-agent system (MAS) theory, distributed artificial intelligence (DAI), cyber-physical production systems (CPPS), and symbiotic human-machine interaction (HMI). Consequently, the formulation of robust, interdisciplinary educational frameworks is imperative to cultivate a highly adaptive, technically proficient workforce capable of sustaining intelligent, self-organizing, and sustainable manufacturing ecosystems.