Call for Papers:

Symposium on AI and Cognitive Sciences in Education
Part of the 2026 convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB)
July 1, 2026
University of Sussex, Brighton, United Kingdom
Symposium: https://aicsed.github.io/2026/index.html
AISB 2026: https://aisb.org.uk/aisb-convention-2026/

Deadline for submission of extended abstracts: March 16, 2026

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 University of Sussex in England, UK, on 1-2 July 2026. For details of the convention visit the AISB website.

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.

IMPORTANT DATES

Extended abstracts submission deadline: 16 March 2026
Notification of acceptance: 16 April 2026
Camera-ready paper submission deadline: 12 May 2026

Submission link: https://cmt3.research.microsoft.com/AICSED2026

TOPICS OF PARTICULAR INTEREST

Technical and Systemic Aspects

• Systems for special education, esp. those for sign language education and those that use tactile graphics
• Intelligent tutoring systems (e.g., music instruction or other embodied/creative domains)
• Human–AI collaborative learning tools
• Evaluation using computational metrics (accuracy, validity, reliability) and mixed human-centred assessment methods

Human Learning, Pedagogy, and Design

• Pedagogical theories and instructional design for AI-rich environments
• Cognitive, motivational, metacognitive, and affective processes in learning
• Self-regulation, agency, error-monitoring, and critical AI literacy
• Collaborative, informal, experiential, or game-based learning
• Neurodiversity, accessibility, and inclusive design
• Multi-modal and material learning ecologies (low-tech to AI-enhanced)

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

MORE INFORMATION

Please visit the Symposium website: https://aicsed.github.io/2026/index.html