The Open UniversitySkip to content
 

Turning groups inside out: a social network perspective

Rienties, Bart and Tempelaar, Dirk (2018). Turning groups inside out: a social network perspective. Journal of the Learning Sciences, 27(4) pp. 550–579.

Full text available as:
[img]
Preview
PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB) | Preview
DOI (Digital Object Identifier) Link: https://doi.org/10.1080/10508406.2017.1398652
Google Scholar: Look up in Google Scholar

Abstract

Most research related to learning in groups focuses on the unit of the group and/or its group members. However, students may benefit from crossing the boundaries of their own group, as students in different groups may provide access to new, non-redundant knowledge and opportunities for learning. Whether boundary crossing between groups is beneficial or not for learning and academic performance has received limited conceptual and empirical attention. Using SNA and SEM modelling, we contrasted pre-post network developments amongst 683 students (132 groups) across four modules at a UK business school. We examined whether it is better for students to invest in social relations in groups to learn and enhance academic performance, or if it is better to (continue to) invest in social relations outside groups. Our findings indicated that students seemed to learn more from learning relations outside their group than from their own group members. Students with more inter-group relative to intra-group learning relations performed better on module assessments and throughout the academic year than students with more intra-group learning relations. Boundary crossing and inter-group learning deserves more empirical attention and experimentation on how to balance boundary crossing and effective group learning strategies.

Item Type: Journal Item
Copyright Holders: 2017 Taylor & Francis Group, LLC
ISSN: 1532-7809
Keywords: inter-group learning; boundary crossing; social network analysis; longitudinal analysis; structural equation modelling
Academic Unit/School: Faculty of Wellbeing, Education and Language Studies (WELS)
Item ID: 51735
Depositing User: Bart Rienties
Date Deposited: 25 Oct 2017 10:12
Last Modified: 23 Jul 2019 07:37
URI: http://oro.open.ac.uk/id/eprint/51735
Share this page:

Metrics

Altmetrics from Altmetric

Citations from Dimensions

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU