Human and artificial intelligence collaboration for socially shared regulation in learning
| dc.contributor.author | Järvelä, Sanna | |
| dc.contributor.author | Nguyen, Andy | |
| dc.contributor.author | Hadwin, Allyson F. | |
| dc.date.accessioned | 2024-04-22T19:24:54Z | |
| dc.date.available | 2024-04-22T19:24:54Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | Artificial intelligence (AI) has generated a plethora of new opportunities, potential and challenges for understanding and supporting learning. In this paper, we position human and AI collaboration for socially shared regulation (SSRL) in learning. Particularly, this paper reflects on the intersection of human and AI collaboration in SSRL research, which presents an exciting prospect for advancing our understanding and support of learning regulation. Our aim is to operationalize this human-AI collaboration by introducing a novel trigger concept and a hybrid human-AI shared regulation in learning (HASRL) model. Through empirical examples that present AI affordances for SSRL research, we demonstrate how humans and AI can synergistically work together to improve learning regulation. We argue that the integration of human and AI strengths via hybrid intelligence is critical to unlocking a new era in learning sciences research. Our proposed frameworks present an opportunity for empirical evidence and innovative designs that articulate the potential for human-AI collaboration in facilitating effective SSRL in teaching and learning. | |
| dc.description.reviewstatus | Reviewed | |
| dc.description.scholarlevel | Faculty | |
| dc.description.sponsorship | This research has funded by the Finnish Academy grants 324381 and 350249 as well as Oulu University profiling project Profi7 Hybrid Intelligence 352788. The work was carried out with the support of LeaF Research Infrastructure, University of Oulu, Finland. | |
| dc.identifier.citation | Järvelä, S., Nguyen, A., & Hadwin, A. (2023). Human and artificial intelligence collaboration for socially shared regulation in learning. British Journal of Educational Technology, 54(5), 1057–1076. https://doi.org/10.1111/bjet.13325 | |
| dc.identifier.uri | https://doi.org/10.1111/bjet.13325 | |
| dc.identifier.uri | https://hdl.handle.net/1828/16387 | |
| dc.language.iso | en | |
| dc.publisher | British Journal of Educational Technology | |
| dc.rights | Attribution 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.department | Department of Educational Psychology and Leadership Studies | |
| dc.title | Human and artificial intelligence collaboration for socially shared regulation in learning | |
| dc.type | Article |