5o. Seminario Iberoamericano de Pensamiento Computacional
1 al 3 de octubre 2025
Barranquilla, Colombia
Llamado a presentar trabajos
Jennifer L. Chiu es profesora adjunta de Educación en Ciencias, Tecnología, Ingeniería y Matemáticas en la Facultad de Educación y Desarrollo Humano de la Universidad de Virginia. Su investigación se centra en aumentar el acceso de los estudiantes a los campos de la ciencia, la ingeniería, las matemáticas y la computación (STEM+CS) para fomentar la ciudadanía independiente, innovadora y crítica. Está especialmente motivada a incluir a aquellos que suelen estar subrepresentados en STEM, incluidos los estudiantes de orígenes históricamente minorizados. Chiu persigue estos objetivos estudiando cómo los entornos mejorados con tecnología pueden ayudar a los estudiantes a comprender conceptos STEM+CS desafiantes, investigando cómo la integración de tecnologías educativas en las aulas puede apoyar la participación de los estudiantes en prácticas STEM y ayudando a los maestros a comprender y promover el pensamiento de los estudiantes en diversos contextos de aprendizaje.
Universidad de Virgina
Michigan State University
Dr. Aman Yadav is the Lappan-Phillips Professor of Computing Education in the College of Education and College of Natural Science at Michigan State University with extensive experience in research, evaluation, and teacher professional development. His research and teaching focus on supporting educators to understand, apply, and critically evaluate the use of computing in K-12 classrooms. He leads several projects that design, implement, and assess how professional learning experiences can support teachers to bring computational tools and practices to support their disciplinary teaching. His co-edited book, Computational Thinking in Education: A Pedagogical Perspective tackles how to integrate computational thinking, coding, and subject matter in relevant and meaningful ways. His work has been published in several leading journals, including Communications of the ACM, ACM Transactions on Computing Education, Journal of Research in Science Teaching, and Journal of Engineering Education.
David Weintrop is an Associate Professor and the Dean's Impact Professor in the Department of Teaching & Learning, Policy & Leadership in the College of Education with a joint appointment in the College of Information at the University of Maryland. His research focuses on the design, implementation, and evaluation of effective, engaging, and equitable computational learning experiences. His work lies at the intersection of design, computer science education, and the learning sciences. David holds a Ph.D. in the Learning Sciences from Northwestern University and a B.S. in Computer Science from the University of Michigan.
University of Maryland
Purdue University
Dr. Alejandra J. Magana is the W.C. Furnas Professor in Enterprise Excellence in the Department of Computer and Information Technology and Professor in the School of Engineering Education at Purdue University. Dr. Magana holds a B.E. in Information Systems and an M.S. in Technology, both from Tec de Monterrey, and an M.S. in Educational Technology and a Ph.D. in Engineering Education, both from Purdue University. Her research program investigates how model-based cognition in Science, Technology, Engineering, and Mathematics (STEM) can be better supported by means of expert tools and disciplinary practices such as data science computation, modeling, and simulation. In 2015, Dr. Magana received the National Science Foundation’s Faculty Early Career Development (CAREER) Award for investigating modeling and simulation practices in undergraduate engineering education. In 2016, she was conferred the status of Purdue Faculty Scholar for being on an accelerated path toward academic distinction, and in 2022, she was inducted into the Purdue University Teaching Academy, recognizing her excellence in teaching. Dr. Magana is a Fellow Member of the American Society for Engineering Education (ASEE) in recognition of outstanding contributions to engineering education or engineering technology education and considerable individual contributions to ASEE.
Dr. María Zapata Cáceres is a professor in the Department of Computer Science and Statistics at Universidad Rey Juan Carlos (URJC). She holds a Ph.D. in Information and Communication Technologies from URJC, as well as degrees in Architecture and Computer Engineering, receiving multiple academic excellence awards. With over 15 years of experience as an entrepreneur and independent professional, María has led and collaborated on numerous projects in 3D design, animation, video games, technology, and education. She has developed several educational video games, including Blue Ant Code, a computational thinking (CT) assessment game recognized as a best practice by the EU and a finalist for the European Digital Skills Awards.
Her research focuses on computational thinking and educational innovation through video games, pioneering the use of game-based learning analytics to assess learning and student interaction. She has developed internationally recognized CT assessment tools and actively contributes to various research projects. Currently, she is Co-IP of the Erasmus+ project COTEDI, launched in late 2023, which fosters computational thinking research and educational practices on an international scale. She has received multiple awards for her academic and research contributions, including the Talent and Technology Award 2023.
Universidad Rey Juan Carlos
AI and Education Research at
Looking Glass Ventures
in Austin, TX
Dr. Shuchi Grover is the Director of AI and Education Research at Looking Glass Ventures in Austin, TX. She is a computer scientist and learning scientist by training who has been committed to PK-12 computing education in formal and informal settings for over two decades. She has led several US National Science Foundation-funded projects involving research & design of learning that helps develop 21st-century competencies in computing, data science, and AI as well as the integration of STEM, computer science (CS) and data science. She created, co-authored, and edited Computer Science in K-12: A-to-Z Handbook on Teaching Programming, a popular resource for preparing K-12 CS teachers. She advises several national and international efforts related to advancing computing and AI education at the K-12 level. She is the recipient of the 2024 Henry and Bryna David Award from the US National Academies of Science, Engineering and Mathematics. Grover has a Ph.D. in Learning Sciences and Technology Design (Stanford University), master’s degrees in education (Harvard University) and computer science (CWRU, Cleveland), and bachelor’s degrees in computer science and physics (India).
After working as a computer scientist in government and industry, Dr. Monica McGill spent over 15 years in academia teaching computer science and game design, receiving tenure at two institutions, before founding the non-profit Institute for Advancing Computing Education (formerly CSEdResearch.org). She has served as the ACM-W North America inaugural chair, Computer Science Teachers Association board member, Sjögren's Foundation board member, and member of IEEE and the American Society for Engineering Education (ASEE); and she is an active member of the ACM community, serving on various conference committees and supporting other educators and researchers through her work. She builds her research on her experiences as a professional in the field and as a researcher focused on recognizing the need for all students to learn about computing as well as its impact on their lives, knowing that different teaching pedagogies impact students differently.
Founder & CEO, Institute for
Advancing Computing Education
Uppsala University
Dr. Anna Eckerdal is a professor in Computing Education at Uppsala University, Sweden. She holds a PhD in Computing Education Research and a master's degree in Scientific Subjects Education, including Mathematics and Physics. Eckerdal has been the coordinator for the center for Discipline Based Education Research at the faculty of Science and Technology at Uppsala University, and has led two larger research projects supported by the Swedish Research Council. Her primary research focus is on novice programming students' learning processes, with particular emphasis on hands-on learning in laboratory settings and its implications for improving teaching methodologies.
While much of Dr. Eckerdal's work has centered on higher education, she has also conducted research on programming at the school level. Her research portfolio extends to educational issues related to e.g. Threshold Concepts in Computer Science and students' learning of Software design. Currently, Dr. Eckerdal is exploring two emerging areas of interest: how to best introduce AI in schools, and emotional and cognitive consequences of long-term learning when human peers are replaced by Generative AI.
Full Professor and Head of the Center for Computing Education Research (CCER) at IT University of Copenhagen (ITU). Ph.D. in Computer Science from the BRICS International Research Center, Aarhus University (2003). Has worked with Programming Language Research (2000s) and Variability & Software Product Lines (2010s), but now works exclusively with Computing Education Research. Has also worked with educational development and is the writer, director, and co-producer of the award-winning educational short-film “Teaching Teaching & Understanding Understanding” (2006), used around the world for educational development. Recipient of the (first) Danish National Teaching Award 2020 (awarded to two out of approximately 18,000 university teachers in all of Denmark).
IT University of Copenhagen
Universidad del Norte
Barranquilla, Colombia
Camilo Vieira, Ph.D., Profesor Asistente del Departamento de Educación en la Universidad del Norte, Barranquilla - Colombia, y coordinador del grupo de investigación Informática Educativa. El Dr. Vieira es ingeniero de sistemas con maestría en informática educativa de la Universidad Eafit (Medellín), y completó sus estudios doctorales y su experiencia postdoctoral en Ciencias e Ingeniería Computacionales en Purdue University, Estados Unidos. En 2022, fue Fulbright Visiting Scholar en el Departamento de Curriculum, Instruction and Special Education de la Universidad de Virginia. Su investigación se enfoca en cómo aprendemos y enseñamos temas complejos, particularmente en el desarrollo del pensamiento computacional a todos los niveles educativos. Además explora cómo usar los métodos computacionales para entender fenómenos educativos.
Fecha límite para recepción de artículos: 31 de mayo 2025.
Notificación de resultados: 28 de junio de 2025.
Fecha límite para versiones finales: 14 de julio de 2025.
Johany Armando Carreño Gamboa (SCo2, 
)
Karina Mariela Figueroa Mora (UMSNH, AMEXCOMP, 
)
Cinthia Maribel González Segura (UADY, AMEXCOMP, )
María Eugenia González Pérez (IUSH, )
Rafael Morales Gamboa (UDG, AMEXCOMP, )
Guillermo de Jesús Hoyos Rivera (UV, )
Marcela Quiroz Castellanos (UV, AMEXCOMP, )
Milton de Jesús Vera C. (UFPS, )
Camilo Vieira (UNINORTE, )
Comité del programa
Karina Mariela Figueroa Mora (UMSNH, AMEXCOMP, )
María Eugenia González Pérez (IUSH, )
Victor Kolezar (CEIBAL, 
)
Huitzilopoztli Luna (UAZ, )
Rafael Morales Gamboa (UDG, AMEXCOMP, )
Ángel Leonel Ortiz Herrera (UMSNH, )
Marcela Quiroz Castellanos (UV, AMEXCOMP, )
Milton Jesús Vera C. (UFPS, )
Camilo Vieira(UNINORTE, )
Contacto
Cualquier duda o comentario puede ser enviado al comité organizador del programa mediante la dirección de correo electrónico info@sipeco.org.
