This book presents proceedings of the 16th International Conference on Intelligent Multimodal Communication and Learning Technologies (IMCL2025), held on November 19–21, 2025, which provided a dedicated international forum to discuss, analyze, and critically assess current trends, challenges, and opportunities in intelligent multimodal and learning technologies.
Intelligent multimodal communication and learning technologies are today at the core of almost all sectors of society. Not only younger generations of learners, but also educators, professionals, and lifelong learners increasingly expect flexible, digital, and multimodal learning environments. At the same time, new ideas, technologies, and AI-driven solutions emerge almost daily, further accelerating this transformation.
Since its beginning in 2006, this conference has been devoted to new approaches in interactive mobile technologies with a strong focus on education and training. Over the years, IMCL has evolved into a well-recognized platform for the exchange of scientific research results, emerging technological trends, and practical experiences, as well as for the dissemination of good practices in technology-enhanced learning.
The book addresses a broad and interdisciplinary audience, including policymakers, academics, educators, researchers in pedagogy and learning sciences, schoolteachers, learning technology developers, industry professionals, and lifelong learning practitioners.
Table of Contents:
Integrating Augmented Reality and Machine Learning for Suggestive Dermatological Diagnostics in Black African Populations.- Learning Through Restoration: Engaging Virtual Technologies in Design.- AI-Driven Inpainting for 3D Mesh Reconstruction in Virtual Reality: A Systematic Review.- Work-in-Progress: Curating Primary Sources for Civic Themes: VR-Ready Digital Galleries in Teacher Education.- On Cultivating AI-native Perceptual Skills in Students.- Psychometric Test for Intrinsic Learning Motivations of AI-Natives.- A Comparative Study of AI-Driven and Human Tutoring Models for Coding Instruction in Initial Teacher Education.- Integrating artificial intelligence into mathematics.-Higher Education: Students’ and Teachers’ Perceptions of Challenges and Good Practices for Teaching.
