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Quality Assurance Actions

Quality Assurance actions

Identified by departments

A review of enhancement activity across departments highlights a consistent institutional focus on strengthening assessment quality, governance, AI readiness, curriculum modernisation, student experience, inclusion, digital infrastructure, employability, and staff development. The actions summarise how departments are advancing quality assurance and educational enhancement in alignment with University鈥憌ide priorities.

1. Assessment and feedback enhancement

  • Improve clarity, transparency, and fairness of assessment through refined marking criteria, expanded use of rubrics, clearer briefs and exemplars, and strengthened moderation processes.
  • Diversify assessment formats to promote inclusivity, authenticity, and reduced over鈥慳ssessment across programmes.
  • Enhance assessment quality assurance through clearer audit trails, strengthened exam checking, and alignment with professional and regulatory expectations.
  • Redesign assessment strategies to reflect emerging AI鈥憆elated risks and sector expectations.
  • Review assessment loads across programmes and year groups, ensuring equitable distribution and clear rationale.
  • Maintain consistent marking turnaround expectations with documented exceptions.

2. Strengthening Quality Assurance and governance

  • Conduct curriculum reviews to ensure coherence, alignment with programme鈥憀evel oversight, and compliance with institutional and regulatory requirements.
  • Strengthen ethics processes, documentation workflows, and CMA鈥慶ompliant materials.
  • Improve governance structures for collaborative, interdisciplinary, and accredited provision.
  • Enhance monitoring and internal review processes to support proactive quality assurance.
  • Review workload planning and operational structures to ensure sustainable, resilient QA systems.

3. Responsible integration of AI in education

  • Develop structured, ethical frameworks for acceptable AI use in teaching, learning, and assessment.
  • Produce guidance, approved tool lists, and clear expectations for staff and students regarding GenAI use.
  • Integrate AI literacy into curriculum design as a critical competence for future鈥慺ocused learning and employability.
  • Strengthen academic integrity through AI鈥憉se declarations, improved misconduct detection methods, and assessment design robust against AI鈥慹nabled risks.
  • Use AI to support (not replace) academic decision鈥憁aking in curriculum development and pedagogic design.

4. Curriculum innovation and programme development

  • Design and deliver new UG and PGT programmes aligned with industry needs, skills agendas, and strategic institutional priorities.
  • Undertake curriculum restructuring to improve progression, student choice, and academic robustness.
  • Expand interdisciplinary routes and cross鈥憇chool modules to offer greater flexibility and connected learning.
  • Review programme structures (including credit weightings, research project options, and advanced modules).
  • Scale experiential learning opportunities, including placements, practice鈥慴ased modules, and research鈥憀ed experiences.

5. Student experience, belonging and support

  • Strengthen personal tutoring systems, create clearer communication pathways, and enhance consistency of student鈥慺acing information.
  • Improve VLE and handbook coherence to support clarity and reduce administrative burden for students.
  • Enhance community鈥慴uilding initiatives, peer mentoring, and wellbeing鈥慺ocused support.
  • Provide early academic interventions and structured support for final鈥憏ear projects and high鈥憆isk transition points.
  • Introduce targeted support for students with additional learning needs or vulnerabilities.

6. Inclusive education and differential outcomes

  • Identify and address awarding gaps through targeted, evidence鈥慽nformed interventions.
  • Refresh inclusive鈥慹ducation plans with stronger co鈥慶reation, accessible teaching materials, and improved EDI structures.
  • Enhance mental鈥慼ealth鈥憆esponsive curriculum design and embed preventative approaches across programmes.
  • Implement inclusive pedagogical practices that respond to diverse learner backgrounds, needs and identities.

7. Digital infrastructure, VLE consistency and information quality

  • Standardise Moodle/VLE templates to provide consistent navigation and clearer expectations for learners.
  • Improve the accuracy of handbooks, module pages, and CMA鈥慶ompliant information.
  • Strengthen online delivery models, online assessment systems, and digital workflows.
  • Enhance the reliability and usability of digital platforms used for exams, moderation, and curriculum management.
  • Review digital communication protocols to support clarity and reduce duplication.

8. Employability, industry engagement and skills development

  • Embed employability within curricula through structured skills mapping, practice鈥慴ased assessments, and real鈥憌orld learning opportunities.
  • Strengthen industry, community, and alumni partnerships to expand placements, consultancy projects, and internships.
  • Promote early engagement with skills development and clearer articulation of transferable skills.
  • Expand research鈥憇kills provision, workplace readiness initiatives, and enterprise鈥慽nfused learning opportunities.

9. Operational efficiency, workload management and staff development

  • Improve workload allocation systems to manage increasing student numbers and programme complexity.
  • Strengthen leadership capacity, support early鈥慶areer staff, and expand formal mentoring and peer鈥慸ialogue schemes.
  • Build professional capability in assessment literacy, inclusive teaching, AI preparedness, and digital pedagogy.
  • Enhance operational processes through standardised SOPs, clearer roles/responsibilities, and more efficient administrative workflows.
  • Reduce staff overburden and strengthen mechanisms to support sustainable enhancement activity.

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