Human and artificial intelligence collaboration for socially shared regulation in learning.
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| Title: | Human and artificial intelligence collaboration for socially shared regulation in learning. |
|---|---|
| Authors: | Järvelä, Sanna1 sanna.jarvela@oulu.fi, Nguyen, Andy1, Hadwin, Allyson2 |
| Source: | British Journal of Educational Technology. Sep2023, Vol. 54 Issue 5, p1057-1076. 20p. 2 Color Photographs, 1 Diagram, 5 Graphs. |
| Subject Terms: | *Collaborative learning, *Computers in education, *Educational technology, *Learning, Artificial intelligence in education |
| 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 notesWhat is already known about this topicFor 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 addsIntroduces 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 policyEducational 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. [ABSTRACT FROM AUTHOR] |
| Copyright of British Journal of Educational Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 169828117 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Human and artificial intelligence collaboration for socially shared regulation in learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Järvelä%2C+Sanna%22">Järvelä, Sanna</searchLink><relatesTo>1</relatesTo><i> sanna.jarvela@oulu.fi</i><br /><searchLink fieldCode="AR" term="%22Nguyen%2C+Andy%22">Nguyen, Andy</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Hadwin%2C+Allyson%22">Hadwin, Allyson</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22British+Journal+of+Educational+Technology%22">British Journal of Educational Technology</searchLink>. Sep2023, Vol. 54 Issue 5, p1057-1076. 20p. 2 Color Photographs, 1 Diagram, 5 Graphs. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Collaborative+learning%22">Collaborative learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Computers+in+education%22">Computers in education</searchLink><br />*<searchLink fieldCode="DE" term="%22Educational+technology%22">Educational technology</searchLink><br />*<searchLink fieldCode="DE" term="%22Learning%22">Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence+in+education%22">Artificial intelligence in education</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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 notesWhat is already known about this topicFor 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 addsIntroduces 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 policyEducational 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. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of British Journal of Educational Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/bjet.13325 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 1057 Subjects: – SubjectFull: Collaborative learning Type: general – SubjectFull: Computers in education Type: general – SubjectFull: Educational technology Type: general – SubjectFull: Learning Type: general – SubjectFull: Artificial intelligence in education Type: general Titles: – TitleFull: Human and artificial intelligence collaboration for socially shared regulation in learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Järvelä, Sanna – PersonEntity: Name: NameFull: Nguyen, Andy – PersonEntity: Name: NameFull: Hadwin, Allyson IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 00071013 Numbering: – Type: volume Value: 54 – Type: issue Value: 5 Titles: – TitleFull: British Journal of Educational Technology Type: main |
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