Editorial notes: Collaboration, feedback and dynamics.
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| Title: | Editorial notes: Collaboration, feedback and dynamics. |
|---|---|
| Authors: | Baker, Michael J.1 (AUTHOR) michael.baker@telecom-paris.fr, Reimann, Peter2 (AUTHOR) peter.reimann@sydney.edu.au |
| Source: | International Journal of Computer-Supported Collaborative Learning. Mar2026, Vol. 21 Issue 1, p1-6. 6p. |
| Subject Terms: | *Collaborative learning, *Evaluation methodology, Chatbots, Cooperation, Collective action, Swarm intelligence, Participation |
| Abstract: | The article focuses on the advancements in the field of Computer-Supported Collaborative Learning (CSCL), particularly exploring foundational concepts such as collaboration, feedback, and dynamic engagement. It discusses various studies that examine the nature of collaboration, including interactions between learners and generative AI chatbots, and the use of collective intelligence in addressing online issues like hate speech. Additionally, it highlights the importance of multimodal feedback in educational settings and the need for a deeper understanding of collaborative dynamics through layered ontologies. The authors emphasize the necessity of aligning methodological approaches with theoretical frameworks to enhance learning design and teaching practices. [Extracted from the article] |
| Copyright of International Journal of Computer-Supported Collaborative Learning is the property of Springer Nature 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 191805631 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Editorial notes: Collaboration, feedback and dynamics. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Baker%2C+Michael+J%2E%22">Baker, Michael J.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> michael.baker@telecom-paris.fr</i><br /><searchLink fieldCode="AR" term="%22Reimann%2C+Peter%22">Reimann, Peter</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> peter.reimann@sydney.edu.au</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Computer-Supported+Collaborative+Learning%22">International Journal of Computer-Supported Collaborative Learning</searchLink>. Mar2026, Vol. 21 Issue 1, p1-6. 6p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Collaborative+learning%22">Collaborative learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Evaluation+methodology%22">Evaluation methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Chatbots%22">Chatbots</searchLink><br /><searchLink fieldCode="DE" term="%22Cooperation%22">Cooperation</searchLink><br /><searchLink fieldCode="DE" term="%22Collective+action%22">Collective action</searchLink><br /><searchLink fieldCode="DE" term="%22Swarm+intelligence%22">Swarm intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Participation%22">Participation</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The article focuses on the advancements in the field of Computer-Supported Collaborative Learning (CSCL), particularly exploring foundational concepts such as collaboration, feedback, and dynamic engagement. It discusses various studies that examine the nature of collaboration, including interactions between learners and generative AI chatbots, and the use of collective intelligence in addressing online issues like hate speech. Additionally, it highlights the importance of multimodal feedback in educational settings and the need for a deeper understanding of collaborative dynamics through layered ontologies. The authors emphasize the necessity of aligning methodological approaches with theoretical frameworks to enhance learning design and teaching practices. [Extracted from the article] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Computer-Supported Collaborative Learning is the property of Springer Nature 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=191805631 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11412-026-09471-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 6 StartPage: 1 Subjects: – SubjectFull: Collaborative learning Type: general – SubjectFull: Evaluation methodology Type: general – SubjectFull: Chatbots Type: general – SubjectFull: Cooperation Type: general – SubjectFull: Collective action Type: general – SubjectFull: Swarm intelligence Type: general – SubjectFull: Participation Type: general Titles: – TitleFull: Editorial notes: Collaboration, feedback and dynamics. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Baker, Michael J. – PersonEntity: Name: NameFull: Reimann, Peter IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 15561607 Numbering: – Type: volume Value: 21 – Type: issue Value: 1 Titles: – TitleFull: International Journal of Computer-Supported Collaborative Learning Type: main |
| ResultId | 1 |
