Quality Assurance Actions

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‑assessment 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‑related 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‑level oversight, and compliance with institutional and regulatory requirements.
• Strengthen ethics processes, documentation workflows, and CMA‑compliant 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‑focused learning and employability.
• Strengthen academic integrity through AI‑use declarations, improved misconduct detection methods, and assessment design robust against AI‑enabled risks.
• Use AI to support (not replace) academic decision‑making 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‑school 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‑based modules, and research‑led experiences.

5. Student experience, belonging and support

• Strengthen personal tutoring systems, create clearer communication pathways, and enhance consistency of student‑facing information.
• Improve VLE and handbook coherence to support clarity and reduce administrative burden for students.
• Enhance community‑building initiatives, peer mentoring, and wellbeing‑focused support.
• Provide early academic interventions and structured support for final‑year projects and high‑risk 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‑informed interventions.
• Refresh inclusive‑education plans with stronger co‑creation, accessible teaching materials, and improved EDI structures.
• Enhance mental‑health‑responsive 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‑compliant 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‑based assessments, and real‑world 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‑skills provision, workplace readiness initiatives, and enterprise‑infused 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‑career staff, and expand formal mentoring and peer‑dialogue 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.