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This symposium will form part of the Convention of The Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB) 2026, which takes place at the ¹ú²úÄÚÉä in England, UK, on 1-2 July 2026. For details of the convention and registration details please visit the .

 

We invite contributions that develop and assess intelligent tutoring systems, adaptive and multimodal interfaces, and assistive technologies that scaffold attention, curiosity, self-regulation, self-efficacy, and critical reasoning, while supporting collaborative knowledge construction and productive, error-tolerant inquiry. Particular emphasis is placed on technically grounded approaches that integrate system architecture, instructional design, and empirical validation, and that demonstrate measurable gains in learner agency, accessibility, and learning outcomes through robust metrics.

We particularly encourage contributions that bridge human learning sciences with technical system design in domains such as music instruction, special education for people with sensory disabilities (e.g., sign language and tactile graphics), and inclusive approaches to instructional design. Across contexts, we conceptualize minds as hybrid and distributed across bodies, tools, and social practices; understanding how specific technological architectures shape these processes is key to building equitable, sustainable, and flourishing educational futures.

Submission Information

Please submit an extended abstract for review (max 1000 words).

Submission link: 

Camera-ready paper length: Maximum of 8 pages, including notes and references.

Presentation format: One-day symposium with oral presentations in person (20 minutes + max 10 minutes for questions). Hybrid/remote presentations are not normally possible and considered only in exceptional circumstances.

Societal and Environmental Dimensions

• Equity and access in AI-supported education
• Ecological and material costs of educational technologies
• Sustainable and community-shared infrastructures
• Responsible deployment of AI in schools