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A new approach to modelling student retention through an application of complexity thinking

Dados Bibliográficos

ID4880949
AutoresJonas Forsman (0000-0002-8473-6327, Uppsala University, autor correspondente), Cedric Linder (0000-0001-6409-5182, University of the Western Cape), Rachel Moll (Vancouver Island University), Duncan Fraser (University of Cape Town), Samuel Andersson (0000-0003-3045-1905, Uppsala University), Staffan Andersson (0000-0003-0670-7595)
Ano2014
Volume39
Fascículo1
Páginas68-86
Data de publicação2014-01-02
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoStudies in Higher Education (JOURNAL)
Identificadores do periódicoISSN: 0307-5079 • E-ISSN: 1470-174X
EditoraInforma UK Limited (PUBLISHER • GB)
DOI10.1080/03075079.2011.643298
OpenAlexW2115886416
IdiomaEN
Citações recebidas6
Referências citadas39

Complexity thinking is relatively new to education research and has rarely been used to examine complex issues in physics and engineering education. Issues in higher education such as student retention have been approached from a multiplicity of perspectives and are recognized as complex. The complex system of student retention modelling in higher education was examined to provide an illustrative account of the application of complexity thinking in educational research. Exemplar data was collected from undergraduate physics and related engineering students studying at a Swedish university. The analysis shows how complexity thinking may open up new ways of viewing and analysing complex educational issues in higher education in terms of nested, interdependent and interconnected systems. Whilst not intended to present new findings, the article does illustrate a possible representation of the system of items related to student retention and how to identify such influential items

Critical thinking · Higher education · Interdependence · Logical reasoning · Mathematics education · Pedagogy · Social science · Sociology · Systems thinking · Complex Systems and Decision Making · Computer Science · Evaluation of Teaching Practices · Learning Styles and Cognitive Differences · Psychology · Artificial Intelligence

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Obras citantes distintas6
Citações por ano0,86
Intervalo de citações2019 - 2024 (6)
Velocidade de citaçãorecent
Altamente citadoNão
Tipos de citaçãoNeutras: 5
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