Special Session Theme: Generative Artificial Intelligence and Educational Innovation: Human-AI Interaction, Didactic Transformation, and 21st-Century Learning
>> Description
Generative Artificial Intelligence is reshaping
educational innovation by transforming how students,
teachers, knowledge, and technological agents interact
within learning environments. This special session
invites researchers, educators, and practitioners to
examine AI not only as a tool for automation or content
generation, but also as a mediating agent that
influences communication, meaning-making, pedagogical
design, assessment, and the development of 21st-century
competencies.
The session will focus on theoretical, methodological,
and applied contributions that explore the educational
implications of generative AI in computer science,
engineering, and education. Particular attention will be
given to human-AI interaction in learning processes,
AI-supported instructional design, computational
thinking, digital competencies, ethical and inclusive
uses of AI, and the transformation of the didactic
contract in AI-mediated educational contexts.
Contributions may include empirical studies,
design-based research, classroom interventions,
conceptual frameworks, learning analytics, teacher
professional development experiences, and institutional
innovation models.
By bringing together interdisciplinary perspectives,
this session aims to foster critical dialogue on how
generative AI can support meaningful learning,
educational equity, curriculum innovation, and
responsible technological adoption in higher education
and other educational levels.
>> Session organizer
Dr. José Manuel Olais-Govea, Tecnológico de Monterrey, Mexico
>> The topics of interest include, but are not limited to:
▪ Generative AI as a cognitive and pedagogical mediator
in education
▪ Human-AI interaction and meaning-making in learning
environments
▪ Transformation of the didactic contract in AI-mediated
education
▪ AI-supported instructional design, assessment, and
feedback
▪ Generative AI for computational thinking and
engineering education
▪ Digital competencies and 21st-century skills in
AI-enriched curricula
▪ Ethical, inclusive, and responsible uses of AI in
education
▪ Teacher professional development for AI-based
educational innovation
>> Submission method
Submit your Full Paper or your paper abstract-without
publication (200-400 words) via
Online Submission System,
then choose Special Session 1 (Generative Artificial
Intelligence and Educational Innovation: Human-AI
Interaction, Didactic Transformation, and 21st-Century
Learning)
>> Template
Introduction of session organizer
Dr. José Manuel Olais-Govea
Tecnológico de Monterrey, Mexico
Bio:
José Manuel Olais-Govea is a researcher and educator
whose work focuses on educational innovation, generative
artificial intelligence, engineering education,
computational thinking, and the transformation of
teaching and learning processes in technology-mediated
environments. He is affiliated with the School of
Engineering and Sciences at Tecnológico de Monterrey,
Campus San Luis Potosí, and collaborates with the School
of Humanities and Education through research initiatives
related to educational innovation. He is a member of the
National System of Researchers in Mexico, Level 1.
His recent research examines generative AI as a
cognitive and pedagogical mediator, with particular
interest in human-AI interaction, didactic contracts,
digital competencies, and curriculum innovation for
21st-century education. His academic work integrates
perspectives from engineering education, educational
technology, computational thinking, inclusion, and
teacher professional development. He has contributed to
international publications and conferences on
educational innovation, artificial intelligence in
education, and emerging technologies for learning.
Through his research and teaching, Dr. Olais-Govea seeks
to promote responsible, inclusive, and meaningful uses
of AI in educational contexts.