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Conceptualising a model for provider-employer collaborations in quantity surveying degree apprenticeship programmes

Lovelin Obi*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

Purpose
With increasing demand to enhance collaborative practices in Degree Apprenticeship (DA) programmes like Quantity Surveying Degree Apprenticeships (QSDA), there is a notable lack of models supporting employer engagement, particularly in curriculum design and delivery. This study aims to fill this gap.

Design/methodology/approach
A qualitative research approach was employed, utilising semi-structured interviews, focus groups and questionnaires to gather stakeholder perspectives involved in QSDA programmes in England. This process aimed to identify key practice areas, collaboration process and enablers needed to conceptualise a collaborative model for employer engagement in QSDA curriculum design and delivery.

Findings
The model highlights four collaborative stages, four practice areas, fourteen focus actions, and twelve enablers essential for provider-employer collaborations in QSDA curriculum design and delivery.

Originality/value
This study introduces a novel curriculum design model emphasising the collaboration process and enablers for provider-employer engagement. It offers new insights for QSDA programme curriculum development and is the first to address this area, contributing to the literature on Degree Apprenticeships in built environment education.
Original languageEnglish
Pages (from-to)176-190
Number of pages15
JournalHigher Education, Skills and Work-based Learning
Volume15
Issue number1
Early online date15 Jul 2024
DOIs
Publication statusPublished - 11 Feb 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 4 - Quality Education
    SDG 4 Quality Education

Keywords

  • Curriculum design
  • Degree apprenticeships
  • Employer engagement
  • Employer-university collaboration
  • Quantity surveying
  • Work-based learning

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