Human–AI Interaction

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Figure placeholder — a classroom scene illustrating the Pair-Up co-orchestration tool suggesting a transition from individual to group work, alongside a VALA/AID co-design workshop session with teachers shaping an AI-supported activity.

This research area is about designing — and co-designing — tools that let teachers and students collaborate effectively with AI systems in dynamic classroom contexts. It spans two connected threads: participatory, value-sensitive methods for designing learning analytics and AI with the people who will use them (rather than just for them), and orchestration tools that support real-time collaboration between humans and AI in the classroom.

Methods such as SLADE and VALA/AID guide participatory, value-sensitive design processes, while tools such as Pair-Up and hybrid AI orchestration tools help teachers manage transitions between individual and collaborative learning activities.

human-AI collaboration co-design participatory design value-sensitive design orchestration classroom technology

Key papers

Pair-Up: Prototyping Human-AI Co-orchestration of Dynamic Transitions between Individual and Collaborative Learning
CHI 2023
CHI 2023orchestrationDOI
Hybrid Human–AI Orchestration Tools for Individual and Collaborative Activities
IEEE Transactions on Learning Technologies, 2023
IEEE TLTDOI
SLADE: A Method for Designing Human-Centred Learning Analytics Systems
LAK 2024
methodologyco-designDOI
VALA/AID: Rapid, Participatory Value-Sensitive Learning Analytics and AI Design
LAK 2025
value-sensitiveparticipatory designDOI

See the Publications page (filter by “Co-design” or “Human–AI collaboration”) for the complete list, including DOIs and BibTeX entries.