A new approach to modelling student retention through an application of complexity thinking
Bibliographic Data
| ID | 4880949 |
|---|---|
| Authors | Jonas Forsman (0000-0002-8473-6327, Uppsala University, corresponding author), 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) |
| Year | 2014 |
| Volume | 39 |
| Issue | 1 |
| Pages | 68-86 |
| Publication date | 2014-01-02 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Studies in Higher Education (JOURNAL) |
| Journal identifiers | ISSN: 0307-5079 • E-ISSN: 1470-174X |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/03075079.2011.643298 |
| OpenAlex | W2115886416 |
| Language | EN |
| Citations received | 6 |
| References cited | 39 |
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
Co-enrollment density predicts engineering students’ persistence and graduation
Student retention and engagement in higher education
Beyond academics
The impact of teenagers' emotions on their complexity thinking competence related to climate change and its consequences on their future
Undergraduate Student Retention Activities
Post-conflict recovery and reconstruction of education in the Gedeo and West Guji zones of southern Ethiopia
Factor Analysis
Social Network Analysis
Dropouts from higher education
Complexity
The role of finances in the persistence process
Dropouts from higher education
Dropouts and turnover
Dropout from Higher Education
A Second Generation Little Jiffy
The reflective practitioner
Little Jiffy, Mark Iv
Distinction
Complexity A Guided Tour
Measuring Organizational Cultures
Multidimensional Scaling And Structural Equation Modeling
Centrality in social networks conceptual clarification
Distinction
The Convergence between Two Theories of College Persistence
Classrooms as Communities
College Persistence
When is a correlation matrix appropriate for factor analysis? Some decision rules
Interaction Effects in Spady and Tinto's Conceptual Models of College Attrition
| Unique citing works | 6 |
|---|---|
| Citations per year | 0,86 |
| Citation span | 2019 - 2024 (6) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 5 |