The use of non-linear dynamics to help facilitate understanding of learning and development within groups
File(s)IJEBCM_20_2_4.pdf (1.08 MB)
Published version
Author(s)
George, Andrew JT
Type
Journal Article
Abstract
Complexity theory, including non-linear dynamics, provides a powerful approach to
understanding and analysing complex interactions as seen when group members learn and
develop. However, complexity theory does not feature heavily in the coaching literature,
depriving coaches of this tool. This paper discusses the implications of non-linear dynamics on
our understanding of group development and illustrate this with a toy model of anger in a
group of three. While formal mathematical modelling of group behaviour is probably not
achievable, the insights can help coaches understand how best to intervene to maximise their
impact and bring benefit to their clients
understanding and analysing complex interactions as seen when group members learn and
develop. However, complexity theory does not feature heavily in the coaching literature,
depriving coaches of this tool. This paper discusses the implications of non-linear dynamics on
our understanding of group development and illustrate this with a toy model of anger in a
group of three. While formal mathematical modelling of group behaviour is probably not
achievable, the insights can help coaches understand how best to intervene to maximise their
impact and bring benefit to their clients
Date Issued
2022-08-01
Date Acceptance
2022-07-14
Citation
International Journal of Evidence Based Coaching and Mentoring, 2022, 20 (2), pp.37-52
ISSN
1741-8305
Publisher
Oxford Brookes University
Start Page
37
End Page
52
Journal / Book Title
International Journal of Evidence Based Coaching and Mentoring
Volume
20
Issue
2
Copyright Statement
© the Author(s)
Published by Oxford Brookes University
Published by Oxford Brookes University
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000843946900004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Social Sciences
Psychology, Applied
Psychology
complexity theory
non-linear dynamics
group dynamics
learning
COMPLEXITY
Publication Status
Published
OA Location
https://radar.brookes.ac.uk/radar/items/b7f0a6f3-edcf-4b9b-a957-35f319f375bc/1/