Ismaila Temitayo Sanusi earned his PhD from the University of Eastern Finland. He specializes in computer science education, educational technology and technology education. His research spans international contexts and focuses on the co-design of innovative and constructionist learning technologies and materials for primary and secondary school students.

He develops artificial intelligence tools and competency models to support curriculum integration, along with teacher training resources that introduce students to AI from an early age, thereby helping to build an AI-ready workforce and foster future technology creators. He also serves on the editorial boards of journals specializing in computing, technology and education.

In 2025, he was included in the Stanford/Elsevier list of the world’s top 2% most influential scientists.

Full Professor of Art Education at the University of Seville. PhD in Fine Arts (1999, University of Seville) and PhD in Education and Communication in Digital Environments (2017, UNED). Visiting researcher at New York University (USA) (2023–2024); director of the Education and Audiovisual Culture Research Group; principal investigator of the R&D&I project Online Inclusive Art Education (PID2021-127124OB-I00); and of international cooperation projects in India (2015–2018) and Greece (2019). Selected recent publications: the articles Inclusive Art Education and Artificial Intelligence (Arte, Individuo y Sociedad, 2026) and Die Mensch-Maschine: Visual Dialogue Between a Human and an Artificial Intelligence (Postdigital Science Education, 2024), and the monograph Pedagogías de la mirada (2022).

He earned his PhD in Education from the University of Salamanca. His career includes the management and proposal of educational public policies in the field of technopedagogy for teacher education in Colombia. His research falls within the areas of educational history, technodidactics, disruptive methodologies and metaethical phenomena in Artificial Intelligence. He is part of the RUECA-Colombia research group, categorized as A1.

Ángel Carlos Herrero Lastra holds a PhD in Systems Engineering and Computer Science and is Director of the University Master’s Degree in Research in Mathematics Teaching and Learning at Nebrija University, where he also works as a researcher and lecturer in the Master’s Degree in ICT in Education and in the Master’s Degree in Teacher Training. He coordinates Mathematics and ICT courses in the Primary and Early Childhood Education degrees, as well as in the Master’s Degree in Teacher Training. He combines this activity with his teaching work in Vocational Education and Training, where he develops technology integration projects in industrial environments. He is an active member of the Quality and Equity in Education Research Group (CE-Ed) at Nebrija University, through which he conducts research on Artificial Intelligence in education, with scope across multiple international education systems. His research focuses on the analysis of large-scale educational data using latent class analysis and multilevel models. He is the author of the book IA Modo Eficiente and a communicator on applied artificial intelligence.