A.I. Enabling Self-Regulated Learning
AI-driven solutions for self-regulated learning
Track is now closed
We are looking for solutions that are using AI technologies to measure, support and develop young learners self-regulated learning.
These solutions should measure how learners develop and adapt to the differences in learners’ capability to regulate their learning. We are interested in innovative technologies and solutions that support and train human self-regulated learning skills with Artificial Intelligence so that learners and AI work together.
Only solutions that demonstrate a working product with a scalable business model will be considered.
in partnership with
Participation in Qweek organized and implemented in partnership with MindCET.
Become a member of the exclusive Jacobs Network.
Opportunities to attend Jacobs Foundation events and pathways for collaboration with JF directly or with the wider JF network.
Opportunity to further develop projects in order to design evidence-based solutions for supporting SRL with intelligent technology. This creates the opportunity to combine technical innovation with pedagogical innovation in advanced co-creation projects with schools, companies, and researchers following the CELLA approach. This allows for testing new prototypes and algorithms directly in the context of existing solutions and with end users in schools.
Applications Open to general & special tracks
September 15, 2022
Deadline for application submission