Human-AI Shared Regulation of Learning: Preparing Higher Education Students to Learn and Work with AI (HAI-Learning)
The HAI-Learning project examines human-AI shared regulation of learning, developing design theories and evidence-based EdTech to strengthen learners’ regulatory skills with AI. Integrating learning sciences, information systems, and AI research, it uses multimodal analytics and design science to advance theory, guide impactful EdTech, and promote interdisciplinary collaboration.
Project information
Project duration
-
Funded by
Research Council of Finland - Academy Research Fellow
Funding amount
574 094 EUR
Project coordinator
University of Oulu
Unit and faculty
Contact information
Project leader
Project description
This project, HAI-Learning, investigates the emerging phenomenon of human-AI shared regulation of learning. It develops design theories to inform evidence-based EdTech solutions that enhance learners' regulatory skills for learning with AI. By integrating perspectives from learning sciences, information systems, and AI research, the project will advance understanding of regulatory processes within AI-integrated learning environments and design innovative solutions to equip learners for the AI-driven future. Using a multimethodological approach combining multimodal learning analytics and design science research, the study will lay the groundwork for advancing theory building and empirical testing in learning regulation research. The findings will provide guidance for educational technologists and developers in designing impactful EdTech solutions fostering regulation in AI-enhanced learning contexts while promoting interdisciplinary collaboration.