Workshop on Orchestrating Human and AI Agency for Proactive and Reflective Learning
From reactive tools to proactive teammates — designing agentic AI that preserves learner agency and teacher professional judgement.
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 judgement.
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.
We welcome theoretical or empirical submissions of position papers, case studies, or ongoing research on the following topics:
Proactive/reflective learning, self-regulated learning, co-regulation, learner agency, engagement, motivational orientations, competencies for the GenAI era
Proactive/reflective prompts, scaffolds, learning analytics-driven feedback, teacher-facing design, human-centered and personalized interactions
Student/teacher/context modeling, human-AI interaction modeling, learning sequence analysis and process mining
Process-based assessment, outcome and process trade-offs, automated assessment, human-AI collaborative assessment, integrity-aware evaluation
Agency/automation balance, negotiation and coordination, explainable/teachable/designable AI systems
Safety, integrity, fairness, robustness, uncertainty calibration, governance, classroom deployment challenges, human-AI symbiosis
All dates are Anywhere on Earth (AOE).
Comprehensive studies with complete methodology and findings
Work-in-progress with preliminary results or novel concepts
Perspectives, provocations, or emerging directions
Page limits include references.
Review process: All submissions will undergo a double-blind review process, as in AIED conferences. Each paper will be reviewed by at least two reviewers.
Template:
• LaTeX (Overleaf) — Open the Overleaf template and make your own copy before editing.
• LaTeX (Download) — Download the LaTeX template from Google Drive.
• Word (Download) — Download the .docx template from Google Drive.
Evaluation criteria: quality, rigor, originality, relevance to the workshop theme, and consideration of ethical and societal implications.
Proceedings: Accepted papers will be presented at the workshop and published in CEUR Workshop Proceedings.
A half-day interactive workshop with keynote, presentations, hands-on demo, and group discussion.
