We invite researchers to contribute to the From Data to Decisions: Exploring Teacher-AI Partnerships for Equitable and Responsible Learning Analytics (FDD) workshop, which will take place in person on April 28th, 2026, as part of the LAK26 conference. We welcome submissions on the following topics, but not limited to:

• Human-centered and socio-technical perspectives on Learning Analytics and GenAI

• Preserving teacher agency in data-driven educational environments

• Design frameworks for responsible and explainable AI integration

• Ethics, trust, transparency, and accountability in teacher–AI collaboration

• Data-informed instructional design and assessment strategies

• Case studies, prototypes, or classroom interventions using LA and GenAI

• Policy, infrastructure, and capacity-building for equitable AI in education

We particularly encourage submissions that blend theoretical insights with practical applications, co-design methods, or cross-disciplinary perspectives to advance responsible teacher–AI partnerships.

SUBMISSION GUIDELINES

The organizers welcome two categories of submissions: short empirical papers highlighting ongoing research, and short discussion papers aimed at sparking dialogue around pivotal issues and challenges.

Submissions should be between 5 and 7 pages in length and formatted according to the 1-column CEUR-ART template. All manuscripts must be anonymized for double-blind review prior to submission via the EasyChair system.

Each submission will undergo a double-blind peer-review process, conducted by members of the organizing committee and contributing authors.

Accepted papers will be published in the FDD 2026 Workshop Proceedings, which will be submitted to CEUR-WS.org for open-access online publication.

Contact e-mail: shashi2y22@gmail.com