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CAAIE 2026 : Conference on Advanced Artificial Intelligence and Education | |||||||||||||||
| Link: https://www.caaie.org | |||||||||||||||
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Call For Papers | |||||||||||||||
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The purpose of CAAIE is to provide a platform for academics and professionals in computer technology to publish, present, meet, exchange ideas, and establish professional networks. It is a forum for specific disciplinary research, as well as on multi-disciplinary studies.
Topics for publication and presentation can include, but are not limited to the following research and development areas/fields: 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 in Education 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 Assessment and AI 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 |
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