HAI-Agency introduces the concept of orchestrating human and AI agency in learning and teaching, advancing a shared research agenda on proactive, pedagogically grounded AI systems that support rather than diminish learner and teacher agency.
AXLE is a half-day interdisciplinary workshop reframing explainability as a socio-technical design challenge across the full AI lifecycle, producing shared design principles to help teachers, learners, and institutions understand and shape the AI systems influencing their educational experiences.
A workshop for researchers, educators, and policymakers to examine how AI tools for STEM career development in K–16 education can be designed and governed responsibly—supporting learner agency while avoiding the reinforcement of inequities.
A hands-on half-day tutorial in which participants design, implement, and deploy a live education microservice for automated feedback on an active e-learning platform, contributing a working tool to an open-source ecosystem.
A participatory workshop using design fiction scenarios and the lens of extended cognition to examine how cognitive work and responsibility are distributed between humans and AI in educational contexts, generating theory-informed guidelines for human–AI synergy.
A half-day workshop exploring how GenAI and large language models can act as semantic sensors in collaborative learning—decoding meaning, motivation, and coherence rather than just tracking behavior—while addressing bias, privacy, and cognitive overreliance.
A hands-on tutorial introducing OATutor 2.0, an open-source adaptive tutoring system, with a focus on its new LLM chatbot integration framework and real-world deployment experiences shared by guest researchers.
This half-day workshop examines the tension between LLMs—which can generate rich, naturalistic explanations—and traditional Open Learner Models that rely on structured, inspectable representations, with the goal of producing design guidelines for LLM-enhanced OLMs that preserve transparency and learner agency.
The seventh A/B Testing and Learning Engineering workshop brings researchers and practitioners together to explore experimentation in digital learning platforms, covering novel methods, ethical considerations (including generative AI), and the balance between software improvement and open science.
A half-day tutorial using AIBAT (AI Behavior Analysis Tool) to help stakeholders audit and critically evaluate AI systems within their specific pedagogical contexts, identifying risks and calibrating trust in AI scaffolds deployed in education.
The MAAI4Ed workshop explores multimodal AI systems that detect and respond to learner affect in real time, emphasizing the design of ethically responsible, inclusive interventions that treat emotion as a core component of the educational experience.
Fair4AIED 2026 bridges fragmented fairness research across intelligent tutoring, risk detection, personalization, and generative AI through interdisciplinary dialogue among researchers, practitioners, and policymakers, connecting theory to actionable strategies for real educational systems.
The 8th CATS workshop brings researchers together to explore how culture, lived context, and learner realities should shape the design of AI-mediated educational technologies, in line with AIED's emphasis on human-AI co-evolution.
The 4th Ethical AI and Education workshop continues an international dialogue on regulating AI in education to protect human rights, democracy, and equity, with updates from the Council of Europe's AI&ED Expert Group on emerging laws and conventions.