Recent advances in generative, multimodal, and agentic artificial intelligence are transforming educational technologies from isolated tools into coordinated systems capable of supporting teachers, learners, families, patients, and professionals.
This Special Session focuses on multi-agent systems, inclusive education, and human-centred AI. It welcomes theoretical, technical, and empirical research on educational agents, teacher-AI collaboration, personalised learning, accessibility, neurodivergent learners, special educational needs, intelligent environments, cybersecurity, and therapeutic applications. Particular attention will be given to trustworthy, explainable, privacy-preserving, and ethically supervised systems that augment human expertise rather than replace professional judgement.
The session seeks to connect researchers from artificial intelligence, education, human-computer interaction, healthcare, psychology, learning sciences, cybersecurity, and software engineering.
Objectives and Topics
The main objective of this Special Session is to advance the design, implementation, and evaluation of agentic, inclusive, secure, and human-centred AI systems for education.
The session aims to bring together theoretical, technical, and empirical contributions addressing how multi-agent systems, generative AI, multimodal technologies, and intelligent environments can support teachers, learners, patients, families, and professionals in educational, clinical, and therapeutic contexts.
Topics of interest include, but are not limited to:
• Multi-agent systems and agentic AI for education
• LLM-based pedagogical agents and intelligent tutoring systems
• Teacher-AI collaboration and AI-assisted educational co-design
• AI for neurodivergent learners and students with special educational needs
• Assistive, multimodal, and sensory-adaptive educational technologies
• Personalised learning, learner modelling, and adaptive educational environments
• Educational robotics, immersive learning, and virtual or synthetic learners
• AI-enabled education in smart cities, smart schools, and smart campuses
• AI, education, and cybersecurity, including cyber-awareness and the protection of educational environments
• AI-supported education in oncology, rehabilitation, and therapeutic contexts
• Explainable, fair, ethical, and trustworthy AI for education
• Privacy, safeguarding, and responsible use of educational and health-related data
• Evaluation frameworks, case studies, and practical experiences in authentic educational and therapeutic settings
Chairman
Dr. Anders Berglund, Mälardalen University, Sweden
Submission Guidelines
Official language in ICAITE 2026 conference is
English in paper writing and presentation. Please format your paper
according to the template. And the submitted papers should be no less
than 5 pages. The submission without enough content may lead to
direct paper rejection in the preliminary review. Only accepted full
papers will be published and invited to present at the conference.
Abstracts will be invited to present at the conference without
publication.
Please send the full paper or abstract to
Special Session 2 Link.
The submission will be confirmed immediately by the system and by
conference secretary in three working days. If you have any question or
suggestion, please feel free to contact with Ms. Susan Ma via
icaite@academic.net.