Dr Yu-Chun Pan
About this project
As workplace learning expands through placements, co-ops, apprenticeships, and employer-engaged modules, a critical quality assurance gap has emerged. Industry partners deliver significant learning but don't operate under QAA frameworks, may not understand FHEQ levels, and lack pedagogical training. The Quality Code establishes partnership principles (Principle 8) but provides limited operational guidance for assuring standards when one partner isn't an academic institution.
This project addresses that gap. Three London-based institutions are comparing approaches across different workplace learning models to identify best practices and develop practical QA frameworks. Through interviews with academics, employers, and students, we're creating tools any institution can adopt, including an assessment toolkit, employer quality criteria, and a self-assessment audit. With OfS graduate outcomes accountability and TEF requirements, institutions urgently need these resources to assure workplace learning quality whilst maintaining academic standards.
The project aims to:
- Create employer-academic QA bridge frameworks addressing Principle 8 and Principle 11
- Develop a workplace learning assessment toolkit for consistent evaluation of professional competencies
- Establish employer partner quality criteria for delivering degree-level learning
- Generate an evidence base through cross-model comparative analysis
- Produce sector-wide dissemination resources for immediate adoption
The project employs a mixed-methods comparative analysis examining quality assurance approaches across co-ops, apprenticeships, placements, and employer-engaged modules. We will conduct document analysis of QA frameworks from all three partner institutions, followed by semi-structured interviews with academic quality leads, employer partners, and workplace supervisors. Student focus groups will ensure diverse representation, including international students, mature learners, and students from different disciplines. All analysis will be guided by QAA Principles 8 and 11, with student collaborators actively involved in co-creating the project outputs.
The project will produce a suite of practical resources for the sector. These include an employer-academic QA bridge framework providing operational guidance for assuring academic standards when industry partners deliver learning, and a workplace learning assessment toolkit offering practical resources for consistent evaluation of professional competencies across academic and workplace settings. We will also develop employer partner quality criteria with indicators for assessing whether employers have capacity to support degree-level learning, alongside a self-assessment audit tool enabling any institution to evaluate and enhance their workplace learning QA. Underpinning these outputs is a robust evidence base drawing on comparative analysis across multiple models from academic, employer, and student perspectives.
These resources address an urgent sector need. They will support institutions in meeting OfS graduate outcomes accountability and inform TEF evidence on employability and student outcomes. By providing frameworks validated across diverse student populations and institutional contexts, the project enables sector-wide consistency in workplace learning quality.
Lead institution
- Yu-Chun Pan, Northeastern University London (PI)
- Sara Abdaless, Northeastern University London
Partner institutions
- Denise Hawkes, King's College London
- Lyn Hamblin, London South Bank University
Dr Yu-Chun Pan
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Dr Yu-Chun Pan is an experienced educator in information systems, experiential learning, and interdisciplinary education. He serves as the Faculty Director for Computing, Mathematics, Engineering & Natural Sciences (CoMENS) and Director of Experiential Learning at Northeastern University London, where he is also an Associate Professor in Digital Transformation. A Senior Fellow of Advance HE (SFHEA), Dr Pan is deeply committed to fostering innovative, hands-on learning experiences that bridge the gap between academia and industry.