The Conference on Advanced Artificial Intelligence and Education (CAAIE 2026) will be held in Cardiff, United Kingdom on 5 – 7 Aug 2026. The conference is an annual event and recognized as one of the major series of conferences in Artificial Intelligence and Education Technologies. CAAIE continues to retain its tradition of being a high quality conference. The event will open an opportunity for academics and industry professionals worldwide to exchange their knowledge of the state-of-the-art research and development in information technology and applications. It will help participants establish new links and extend professional networks. This conference addresses the importance that IT professionals stretch across narrowly defined subject areas and constantly acquire a global technical and social perspective. CAAIE 2026 offers such an opportunity to facilitate cross-disciplinary and social gatherings.
Accepted papers presented at the conference will be published in the proceedings of the Conference on Advanced Artificial Intelligence and Education (CAAIE), within the Springer Book Series: Information Systems Engineering and Management series https://link.springer.com/series/17396/books.
Call for papers on:
AI-Enhanced Teaching and Learning
AI in Education
AI-driven curriculum design
Adaptive and personalised learning
Intelligent tutoring systems
AI as a learning companion or coach
AI and Learning Science
AI and Educational Pedagogy
Educational Technologies and Digital Education
Digital Education
Modern Education
AI and Modern Educational Technologies
Educational Technologies
Learning Environment
Digital Media Design
Open Learning
Synchronous and Asynchronous Learning
Learner Engagement
Generative AI and Education
LLM-powered assessment and feedback
AI-supported creativity and content generation
Risks, bias, and academic integrity
Learning Analytics and Educational Data Science
Predictive analytics for student performance
Behavioural and engagement analytics
Ethical learning analytics
Assessments and AI
AI-supported formative and summative assessment
Online Assessment
Assessment redesign in AI-rich environments
Competency-based assessment models
AI for Inclusive and Accessible Education
Assistive technologies powered by AI
Reducing learning barriers with multimodal AI
Supporting neurodiverse learners
Immersive, Experiential, and Interactive Learning with AI
AI in VR/AR for skills training
Simulation-based learning environments
AI-generated interactive narratives
Advanced AI Technologies in Education
Machine Learning
Deep Learning
Multimodal AI
Agentic AI and autonomous learning systems
Robotics and AI in classroom settings
Ethics, Governance, and Policy in AI Education
Responsible use of AI tools
Data protection, fairness, and transparency
Accreditation and regulatory frameworks
AI for Lifelong, Workplace, and Professional Learning
Skills forecasting and personalised upskilling
AI tutors for corporate learning
Intelligent micro-credentialing systems