Call for Papers
We invite original 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:
- Submission deadline:
28 February 20268 March 2026 - Notification of acceptance:
31 March 20268 April 2026 - Camera-ready paper submission deadline:
28 April 20266 May 2026
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