Call for Abstracts

We encourage participants to submit an abstract of approximately 500-1000 words on their current research projects on measuring and supporting self-regulated learning (SRL) through human-AI collaboration. Accepted submissions will be presented in the workshop and discussed with participants in the roundtable format. We are interested in abstract submissions (work-to-date & work-in-progress) on

• using AI-enhanced approaches to measure SRL in the lab or field with single or multiple data streams and

• supporting SRL through human-AI collaboration before, during or after learning.

Please submit your work using the Google form below by 16th of December 2023.

Please note all papers selected for presentation during the workshop will NOT be included in the LAK companion proceedings this year.

All questions can be directed to Joni Lämsä and Susanne de Mooij (joni.lamsa [at] oulu.fi and susanne.demooij [at] ru.nl).