2025 ASEE Annual Conference & Exposition

Future Skills Taxonomies in Engineering Continuing Education Shaping Lifelong Learning: An Integration Proposal

Presented at Continuing Education

With rapid advances in Industry 4.0 and 5.0 technologies, there is a growing need for a structured approach to continuing engineering education that supports lifelong learning and aligns with evolving industry demands. This paper presents an implementation proposal for a novel framework that integrates knowledge, skills, and abilities (KSA) taxonomies, predictive analytics, and best practices in curriculum development. Designed to address the unique needs of the Information and Communications Technology (INFOCOMM) workforce, which faces continuous technological disruptions, this framework aims to provide a dynamic and adaptive methodology for educational institutions and industry professionals. This proposal outlines how a future application could facilitate the development of flexible curricula by leveraging real-time labor market data and predictive modeling to enhance workforce readiness. The framework supports active learning, hands-on methods, and customized learning paths to help professionals acquire critical future skills, such as digital literacy, creativity, and problem-solving. A hypothetical case study illustrates how the framework might function, demonstrating its potential application in aligning education with workforce demands. While this paper does not present empirical results, it establishes a structured roadmap for future implementation and validation. Planned pilot testing and stakeholder feedback collection will assess the framework's effectiveness in improving engagement, skill acquisition, and curriculum adaptability. Future research will explore its scalability to other engineering disciplines, ensuring broad applicability beyond the INFOCOMM sector. This proposal lays the foundation for a data-driven, adaptive approach to lifelong learning in engineering education by providing a structured heuristic model for curriculum planning.

Authors

Dr. Jose Daniel Azofeifa Institute for the Future of Education, Tecnologico de Monterrey, Mexico
Valentina Rueda-Castro Tecnologico de Monterrey (ITESM)
Luis Jose Gonzalez-Gomez
Mario Zaragoza Universidad Nacional Autonoma de Mexico-UNAM
Julieta Noguez [biography]

Julieta Noguez is a professor-researcher at the Computer Science Department of the Tecnológico de Monterrey, Mexico City Campus. She obtained a Ph.D. in Computer Science from the Tecnológico de Monterrey. She is co-leader of the Advanced Artificial Intelligence research group. She is responsible for the Cyber-Learning & Data Sciences Lab. She belongs to the National Research System of Mexico (SNI level II), the IEEE Computer Society, the IEEE Education Society, the Mexican Society of Artificial Intelligence, and the Mexican Academy of Computing. She got 3 awards (2 Gold winners and 1 silver winner) for her participation in the Project “Open Innovation Laboratory for Rapid Realization for Sensing, Smart, and Sustainable Products”. QS Stars Reimagine Education. She obtained seven first-place awards for Educational Innovation from Tecnologico de Monterrey. She has published more than 150 research articles in international journals and conferences. She has directed 12 doctoral theses and 14 master's theses. Her research interests are data science and artificial intelligence in Education.
Dr. Patricia Caratozzolo http://orcid.org/0000-0001-7488-6703 Tecnologico de Monterrey (ITESM) [biography]

Patricia Caratozzolo received her Ph.D. from Universitat Politécnica de Catalunya, Barcelona. She is a Full Member of the Institute for the Future of Education and an Assistant Professor at Tecnologico de Monterrey, Mexico. She leads projects in educational innovation, critical thinking, cognitive flexibility, and developing social-oriented interdisciplinary skills in STEAM. Dr. Caratozzolo is a Senior Member of IEEE, a Member of the Executive Committee of the International Association of Continuing Engineering Education (IACEE), the International Federation of Engineering Education Societies (IFEES), and a Member of the National System of Researchers (SNI) of the Mexican Council of Educational Research (CONACYHT).

Note

The full paper will be available to logged in and registered conference attendees once the conference starts on June 22, 2025, and to all visitors after the conference ends on June 25, 2025

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