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Enhancing student learning and achievement through orchestration of group processes and group composition.

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Title: Enhancing student learning and achievement through orchestration of group processes and group composition.
Authors: Rosé, Carolyn P.1 (AUTHOR) cp3a@andrew.cmu.edu, Järvelä, Sanna2 (AUTHOR)
Source: International Journal of Computer-Supported Collaborative Learning. Sep2023, Vol. 18 Issue 3, p323-327. 5p.
Subject Terms: *Academic achievement, *Massive open online courses, Group process
Abstract: Though study of discourse processes, how they can be scaffolded, and how they promote learning and other collaborative outcomes is frequent in the CSCL literature, far less has focused on meta-level understanding of discourse or meta-discourse processes. Results from the study could inform development of an automated algorithm to group students for interaction based on a policy considering skill level of the students, in this case to offer one another feedback on writing. [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
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  Data: Enhancing student learning and achievement through orchestration of group processes and group composition.
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  Data: <searchLink fieldCode="AR" term="%22Rosé%2C+Carolyn+P%2E%22">Rosé, Carolyn P.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> cp3a@andrew.cmu.edu</i><br /><searchLink fieldCode="AR" term="%22Järvelä%2C+Sanna%22">Järvelä, Sanna</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Computer-Supported+Collaborative+Learning%22">International Journal of Computer-Supported Collaborative Learning</searchLink>. Sep2023, Vol. 18 Issue 3, p323-327. 5p.
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  Data: *<searchLink fieldCode="DE" term="%22Academic+achievement%22">Academic achievement</searchLink><br />*<searchLink fieldCode="DE" term="%22Massive+open+online+courses%22">Massive open online courses</searchLink><br /><searchLink fieldCode="DE" term="%22Group+process%22">Group process</searchLink>
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  Data: Though study of discourse processes, how they can be scaffolded, and how they promote learning and other collaborative outcomes is frequent in the CSCL literature, far less has focused on meta-level understanding of discourse or meta-discourse processes. Results from the study could inform development of an automated algorithm to group students for interaction based on a policy considering skill level of the students, in this case to offer one another feedback on writing. [Extracted from the article]
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  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.)
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        Value: 10.1007/s11412-023-09408-x
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              Text: Sep2023
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