Engineering Student Belonging To Prevent Early Leavers Through Curriculum Decolonization, Academic Self-Concept, And Psychologically Safe Teamwork

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Abstract

The proportion of early leavers from engineering degrees closely follows the higher education sector throughout Europe; around 10% leave before graduation. Students are more likely to drop-out if they do not feel that they belong in the learning community. While research shows that academic achievement is a primary factor contributing to student drop-out, other student-centric social factors, such as belonging are equally important to student drop-out rates within higher education. The aim of this paper is to present a model constructed on student belonging. The model consists of 3 pillars, namely academic self-concept & professional identity, psychologically safe teamwork, and decolonisation. The study was based on the development and continuous refinement of interventions that could assist students with feeling a sense of belonging. While the primary intention of this project is to present a body of work that highlights belonging as a contributing factor that may be pivotal to a student remaining in higher education or dropping out, readers will also learn about how best to support students in gaining a sense of belonging through self-concept, providing safe teamwork and by decolonising the curriculum.
Original languageEnglish
Title of host publication51st Annual Conference of the European Society for Engineering Education (SEFI)
PublisherEuropean Society for Engineering Education (SEFI)
Number of pages12
DOIs
Publication statusPublished - 14 Sept 2023
Event51st Annual Conference of the European Society for Engineering - Technological University of Dublin, Dublin, Ireland
Duration: 10 Sept 202314 Sept 2023

Conference

Conference51st Annual Conference of the European Society for Engineering
Abbreviated titleSEFI 2023
Country/TerritoryIreland
CityDublin
Period10/09/2314/09/23

Keywords

  • decolonization
  • self-concept
  • metacognition
  • teamwork
  • retention

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