As research momentum shifts toward Agentic AI, educational technologies are moving beyond reactive tools toward proactive, teammate-like ecosystems grounded in pedagogical principles. This transition raises a central challenge: how to design increasingly autonomous AI systems without diminishing learner agency or undermining teachers' professional judgment.

This workshop introduces the concept of HAI-Agency, envisioning how human and AI agency can be orchestrated in learning and teaching. Foregrounding proactive and reflective learning, we aim to advance a shared research agenda spanning design methodologies, computational modeling, evaluation frameworks, and the classroom integration of agentic AI systems.

List of Topics

• Learning goals and pedagogical foundations: Proactive/reflective learning, self-regulated learning/co-regulation/learner agency, affective/cognitive/behavioral engagement, motivational orientations, competencies for the GenAI era (e.g., creativity, higher-order thinking, critical thinking)
• Interaction, intervention & learning design: Proactive/reflective prompts, scaffolds, and interventions, learning analytics-driven feedback and recommendations, teacher-facing design and support, human-centered and personalized interactions, creative AI-enhanced learning, human-computer interactions
• Modeling & analytics: Student/teacher/context modeling, human-AI interaction modeling, learning sequence analysis, and process mining
• Evaluation & assessment: Process-based assessment, outcome and process trade-offs, automated assessment, human-AI collaborative assessment, integrity-aware evaluation, assessment reinvention of GenAI-assisted competencies, and AI-powdered skills
• Agentic human-AI orchestration: Agency/automation, negotiation and coordination, explainable/teachable/designable AI
• Ethics and social impact: Safety/integrity/fairness/robustness/uncertainty/calibration/governance, challenges in classroom-level deployment, social infrastructure upgrading with AI agents, human-AI symbiosis

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome.

• Full paper: 8-10 pages, comprehensive studies with complete methodology and findings
• Short paper: 5-6 pages, work-in-progress with preliminary results or novel concepts
• Position paper: 2-3 pages, perspectives, provocations, or emerging directions

Review process: All submissions will undergo a double-blinded review process, as in AIED conferences.

Anonymity requirements:

• Eliminate all information that could lead to their identification (names, contact information, affiliations, patents, names of approaches, frameworks, projects, and/or systems)
• Cite your own prior work (if needed) in the third person
• Eliminate acknowledgments and references to funding sources

Template: All submissions to the workshop must follow the Workshop Proceedings Template with a LaTeX or MS Word format available.

Important Dates (AOE)

• April 3, 2026: Call for Papers
• April 24, 2026: Paper Submission Deadline
• May 15, 2026: Notifications of Acceptance
• May 22, 2026: Camera-Ready Paper Deadline
• June 27 or 28, 2026: Workshop, taking place during the AIED2026 conference!
• July 31, 2026: Workshop proceedings submission to CEUR

Committees

Organizers

• Yiling Dai, Hiroshima University, Japan
• Boxuan Ma, Kyushu University, Japan
• Huiyong Li, Kyushu University, Japan
• Patrick Ocheja, Independent Researcher, Canada
• Kyoungwon Seo, Seoul National University of Science and Technology, Republic of Korea
• Brendan Flanagan, Ritsumeikan University, Japan

Advisors

• Hiroaki Ogata, Kyoto University, Japan
• Stephen J.H. Yang, National Taiwan Normal University, Taiwan
• H. Ulrich Hoppe, University of Duisburg-Essen, Germany

Publication

The workshop proceedings will be published through CEUR-WS (https://ceur-ws.org/).

Venue

The workshop will be co-located with the 27th International Conference on Artificial Intelligence in Education (AIED 2026), Seoul, Korea, June 27 - July 3, 2026.

Contact

All questions about submissions should be emailed to open.aied.community [at] gmail.com.