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Cited by 427Innovative Teaching and Learning MethodsIntelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

The DOI matches its Crossref record; 61 of the 65 references it cites were found in a registry or an index, and 4 are not checked yet.

Human and artificial intelligence collaboration for socially shared regulation in learning

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Järvelä, Sanna, Nguyen, Andy, Hadwin, Allyson·2023·British Journal of Educational Technology
DOI 10.1111/bjet.13325
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Abstract

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. Practitioner notes What is already known about this topic For collaborative learning to succeed, socially shared regulation has been acknowledged as a key factor. Artificial intelligence (AI) is a powerful and potentially disruptive technology that can reveal new insights to support learning. It is questionable whether traditional theories of how people learn are useful in the age of AI. What this paper adds Introduces a trigger concept and a hybrid Human‐AI Shared Regulation in Learning (HASRL) model to offer insights into how the human‐AI collaboration could occur to operationalize SSRL research. Demonstrates the potential use of AI to advance research and practice on socially shared regulation of learning. Provides clear suggestions for future human‐AI collaboration in learning and teaching aiming at enhancing human learning and regulatory skills. Implications for practice and/or policy Educational technology developers could utilize our proposed framework to better align technological and theoretical aspects for their design of adaptive support that can facilitate students' socially shared regulation of learning. Researchers and practitioners could benefit from methodological development incorporating human‐AI collaboration for capturing, processing and analysing multimodal data to examine and support learning regulation.

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Research works printed but not linked: 5

  1. Nguyen A., 2022, Hybrid human‐AI shared regulation in learning (HASRL) model
  2. Nguyen A., 2023, Theory informing and arising from learning analytics
  3. Nguyen A., 2023, Emotional synchrony through regulatory triggers in collaborative learning
  4. Nguyen A., 2022, Exploring socially shared regulation with an AI deep learning approach using multimodal data, Proceedings of International Conferences of Learning Sciences (ICLS)
  5. Schunk D. H., 2018, Handbook of self‐regulation of learning and performance, 1

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Metadata

Authors
Järvelä, S., Nguyen, A., & Hadwin, A.
Affiliations
  • University of Oulu (FI)
  • University of Victoria (CA)
Corresponding author
Järvelä, Sanna
ORCID
Venue
British Journal of Educational Technology
Publisher
Wiley
Published
2023-04-20
Volume
54
Issue
5
Pages
1057-1076
ISSN
  • 0007-1013 (ISSN-L)
  • 1467-8535
DOI
10.1111/bjet.13325
OpenAlex
W4366588310
Cited by
342
References
61
Citations by year
2026: 145 · 2025: 120 · 2024: 61 · 2023: 16
FWCI
165.96
Type
journal article
Language
en
Open access
Licence
Locations
  • British Journal of Educational Technology (publishedVersion, cc-by)
  • UVic’s Research and Learning Repository (University of Victoria) (submittedVersion, cc-by)
Funders
Academy of Finland (324381, 350249)
Topics
  • Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
  • Social Sciences › Education › Artificial Intelligence in Education
Keywords
human-AI collaboration, socially shared regulation, learning regulation, hybrid intelligence, AI affordances, adaptive learning support, cooperative learning, multimodal analysis

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