Group formation based on extraversion and prior knowledge: a randomized controlled study in higher education online

Abstract The study investigates how the 2×2 configuration of homogeneous and heterogeneous distributions of extraversion and prior knowledge influences group outcomes, including satisfaction, performance, and stability. Based on the standard deviation of extraversion and prior knowledge, groups were established to test experimentally, what form of grouping leads to best outcomes. The randomized controlled trial took place in the context of an online course with 355 prospective students, working in 82 groups. The two characteristics extraversion and prior knowledge were distributed algorithmically, either homogeneously or heterogeneously. Results showed no superiority of heterogeneous formation, yet there were systematic interaction effects by the experimental group formation on satisfaction and performance. Due to the increasing relevance of online groupwork, explorative results are reported and integrated. Ideas for future research on group formation as an important influencing factor are discussed. Findings supports knowledge about cooperative online learning by optimizing the selection of group members using a therefore implemented algorithm.

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Publication Details

Journal
Journal of Computing in Higher Education
Published
2024-08-21
DOI
https://doi.org/10.1007/s12528-024-09406-4
Citations
7
Primary Topic
Team Dynamics and Performance
Type
article
Field-Weighted Citation Impact
4.50
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article

Group formation based on extraversion and prior knowledge: a randomized controlled study in higher education online

Johannes Konert, René Röpke, Henrik Bellhäuser, Ömer Genc et al.
7 citations
Journal of Computing in Higher Education
Team Dynamics and Performance
4.50
article

Group formation based on extraversion and prior knowledge: a randomized controlled study in higher education online

Johannes Konert, René Röpke, Henrik Bellhäuser, Ömer Genc, Adrienne Mueller
article en
7 citations

Abstract

Abstract The study investigates how the 2×2 configuration of homogeneous and heterogeneous distributions of extraversion and prior knowledge influences group outcomes, including satisfaction, performance, and stability. Based on the standard deviation of extraversion and prior knowledge, groups were established to test experimentally, what form of grouping leads to best outcomes. The randomized controlled trial took place in the context of an online course with 355 prospective students, working in 82 groups. The two characteristics extraversion and prior knowledge were distributed algorithmically, either homogeneously or heterogeneously. Results showed no superiority of heterogeneous formation, yet there were systematic interaction effects by the experimental group formation on satisfaction and performance. Due to the increasing relevance of online groupwork, explorative results are reported and integrated. Ideas for future research on group formation as an important influencing factor are discussed. Findings supports knowledge about cooperative online learning by optimizing the selection of group members using a therefore implemented algorithm.

Journal of Computing in Higher EducationVol. 37(3)
Johannes Gutenberg University Mainz (DE), Fulda University of Applied Sciences (DE), Technische Universität Darmstadt (DE), RWTH Aachen University (DE)
Quality Education
Openalex Percentile: Top 6%
Team Dynamics and Performance
4.50
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Group formation based on extraversion and prior knowledge: a randomized controlled study in higher education online — Johannes Konert, René Röpke, et al. · Journal of Computing in Higher Education (2024) | TGRS Research Map | TGRS