Learning regulation with AI – promoting adaptive K-12 learners (LEAD)
Description of the granted funding
The aim of the LEAD project is to inform the design of evidence-based solutions for developing adaptive self-regulated learners by integrating self-regulated learning (SRL) theory with AI capabilities. The objectives of this project are: (1) To re-new SRL theory and research by implementing the novel trigger concept (Järvelä & Hadwin, 2022) to guide data use and analysis; (2) Investigate how K-12 students control, monitor and regulate their learning; (3) Provide evidence to guide the design of new AI-driven learning technologies that collaborate with learners to help them to be purposeful, adaptive self-regulated learners. We use multimodal data and utilize AI techniques to further understand and provide support for regulatory processes in collaborative learning. LEAD will contribute that K-12 education pedagogical innovations are aligned with technological innovations.
Show moreStarting year
2023
End year
2027
Granted funding
Funder
Research Council of Finland
Funding instrument
Academy projects
Other information
Funding decision number
355776
Fields of science
Educational sciences
Research fields
Kasvatustieteet
Identified topics
education, pedagogy