Explainable AI for Steam Personalization and Ethical Assessment. Este artículo no está disponible.Explainable AI for Steam Personalization and Ethical Assessment

Artificial intelligence is rapidly transforming educational environments, creating new opportunities to personalize learning, enhance student engagement, and support more effective assessment practices. Within Science, Technology, Engineering, the Arts, and Mathematics (STEAM) education, intelligent systems are increasingly being used to adapt learning experiences to individual needs, provide real-time feedback, and generate insights that help educators better support student success. At the same time, the growing use of AI in educational decision-making has raised important concerns regarding transparency, fairness, accountability, and trust. As learning environments become more data-driven and technologically sophisticated, there is a pressing need to ensure that intelligent systems remain understandable, ethical, and aligned with educational goals. Explainable Artificial Intelligence (XAI) has emerged as a promising approach for addressing these challenges by making AI-driven processes more transparent and interpretable for learners, educators, and institutions. Explainable AI for STEAM Personalization and Ethical Assessment examines the role of explainable and trustworthy AI technologies in shaping the future of smart education. Emphasizing both innovation and responsibility, this book highlights the importance of transparency, ethics, and human-centered design in the development of AI-enabled educational ecosystems. Through theoretical perspectives, empirical research, system frameworks, and practical applications, this book contributes to the advancement of intelligent learning environments that support both educational excellence and ethical decision-making. Covering topics such as dropout risk assessment, adaptive recommender systems, and verifiable synthetic generation, this book is an excellent academic resource for graduate and doctoral students, school leaders, curriculum designers, instructional technologists, assessment specialists, educational evaluators, AI developers, software engineers, policymakers, and more.

Francisco Rafael Trejo-Macotela obtained his PhD in Electronics from the National Institute of Astrophysics, Optics and Electronics, Puebla, Mexico. He is certified as an Associate Developer in Labview (CLAD) by National Instruments. He is currently a professor-researcher in the Master's Degrees in Mechatronics and ICT at the Polytechnic University of Pachuca, Mexico. He holds a Labor Competence Certificate in the EC0477 and EC0217 standards from the National Council for Standardization and Certification of Competencies (CONOCER). From 2006 to 2007, he was a professor-researcher in the Mechatronics Department at the Polytechnic University of Pachuca (UPP). From 2007 to 2009, he was Director of Mechatronics Engineering at the UPP. From 2009 to 2015, he was a professor-researcher in the Telematics Department at the UPP. From 2015 to 2023, he was Director of Research, Innovation, and Postgraduate Studies at the UPP. From 2023 to 2024, he served as Coordinator of the Postgraduate Program in Information and Communications Technologies at the UPP. He has participated in more than eight evaluation processes for master's and doctoral programs within the framework of the National Postgraduate System (SNP) of SECIHTI (Secretariat of Science, Humanities, Technology, and Innovation). He has participated in the development of various research projects. He is an adjunct researcher at the SECIHTI National Laboratory for Autonomous Vehicles and Exoskeletons (LANAVEX). Current evaluator at the Interinstitutional Committees for the Evaluation of Higher Education (CIEES), the Engineering Education Accreditation Council (CACEI - COPAES), and the SEAES (Higher Education Evaluation and Accreditation System) of the REPEV (Peer Registry for Diagnostic and Formative Evaluation) of the Undersecretariat of Higher Education of the SEP. In 2019, he participated as an External Peer Evaluator in the evaluation for accreditation purposes for Ecuadorian Universities and Polytechnic Schools for the Higher Education Quality Assurance Council (CACES). Peer evaluator of postgraduate programs within the National Quality Postgraduate Program (PNPC) of SECIHTI. Evaluator of projects within the Innovation Incentives Program (PEI) of SECIHTI. He is currently a Level 1 member of the National System of Researchers at SECIHTI. His main research interests include Integrated Circuit Design, Analog and Digital Design, Automation, Embedded Systems, Smart Cities, Telecommunications Systems, Precision Agriculture, Cyber-Physical Systems, and the Internet of Things, among others.