Primary focus area: AI for e-governance
Secondary focus areas: adaptation of foundation models
Abstract
This project aims to develop AI tools that support self-regulated learning (SRL) in schools, aligning with how the human brain learns. These tools will be grounded in cognitive science to ensure reliability, trust, and real-world applicability. Small-scale classroom experiments will validate the tools and lay the foundation for future large-scale deployment in Estonia.
Research Gap
Most existing AI applications in education are driven by technological possibilities rather than pedagogical goals. They often overlook learner agency and SRL—key skills for lifelong learning emphasized by frameworks like OECD’s Learning Compass. Existing tools lack large-scale validation and are rarely co-designed with schools, limiting their classroom relevance and trustworthiness.
Objective
To develop trustworthy, neuroscience-informed AI tools that support SRL in classrooms. The project will focus on creating the first version of an AI learning assistant, co-developed with educators and students, and tested in authentic educational settings to evaluate practical fit and learning impact.
Approach
We will build the AI assistant in three main stages:
- Foundations: Literature review, ethics approval, and investigation into effective SRL methods.
- Tool development: Build prototypes based on cognitive principles and technological advances.
Co-creation & validation: Work with teachers and students to refine and test tools in small-scale classroom pilots. No personal student data will be published.
Impact
This is the first AI-in-education research effort in Estonia directly responding to President Karis’ national call. The project will deliver working prototypes, educational research papers, and a tested model for integrating AI into schools. Long-term, this sets the stage for a national, large-scale AI-in-education initiative.