Program

Format

The TAILA workshop is intended as a half-day, face-to-face interactive event. It welcomes a diverse group of participants, including practitioners, learning scientists, software engineers, and AI specialists, who have worked at different levels of the intersection between teacher education (pre-service or in-service), LA, and AI research and practice. Participants of all skill levels are welcome. 

• Welcome and introduction: Participants are welcomed with a tour of presentations, followed by an introduction to the workshop’s aims, outcomes, and agenda. 

• Framing: Workshop organizers present insights from ongoing projects on teacher education and teacher-AI complementarity. The presentations will be followed by a round of Q+A. 

• Exploration: Presentation of demo/cases of LA and AI applications followed by a round of Q+A. Participants will be prompted on the specific information they can provide to the audience to facilitate follow-up discussions. 

• Reflection: Collaborative work to reflect on challenges and opportunities of the presented cases, pivoting on the learning theories and tools reflected by the LA/AI applications. 

• Co-design: Hands-on group activity to develop learning paths, approaches, and design principles to address challenges in teacher learning through LA/AI applications. 

• Synthesis: Whole-group discussion to consolidate emerging insights and common themes. 

• Closing and future research directions: Ground discussion on follow-up steps.