Learning regulation with AI – promoting adaptive K-12 learners

LEAD

The LEAD project blends self-regulated learning theory with AI to foster adaptive learners in K-12 education. By exploring student learning management and employing AI, we aim to create supportive learning technologies, aligning educational with technological advancements for better collaborative learning.
Pitkätukkainen henkilö virtuaalilaseissa ja sinisessä paidassa osoittaa ylös vasemmalla kädellä, taustalla on kaksi suurta näyttöä.
A woman holding a VR controller with VR goggles on her head in front of a TV screen

Project information

Project duration

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Project coordinator

University of Oulu

Unit and faculty

Learning and Learning Processes Research Unit
Faculty of Education and Psychology

Contact information

Project leader

Other persons

Researchers

Project description

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, 2023) 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.