Curriculum, Programme and Assessment Development Actions

1. Programme portfolio development, interdisciplinarity and market alignment

• Design future‑focused, academically robust programmes that respond to institutional priorities, sector trends and the needs of distinct learner groups.
• Develop interdisciplinary routes, joint degrees and cross‑school pathways aligned with market expectations and emerging disciplines.
• Scale and sustain new course launches through appropriate staffing, estate planning and systems readiness.
• Conduct structured curriculum reviews to ensure coherence, progression, appropriate optionality and benchmarking against sector standards.
• Expand cross‑school optional modules to widen choice and interdisciplinary learning.

2. Assessment strategy, diversification, load management and feedback quality

• Diversify assessment formats to reduce reliance on high‑stakes exams and promote authenticity, inclusivity and disciplinary relevance.
• Systematically manage assessment load across programmes and year groups to ensure fair distribution and reduce over‑assessment.
• Strengthen quality assurance and moderation through peer review of assessment documents, standardised briefs and rubrics, and auditable processes.
• Enhance exam‑checking processes, including GTA review of online tests and earlier release of generic exam feedback.
• Maintain or work toward the ≤20‑working‑day marking turnaround expectation.
• Improve feedback literacy for staff and students through glossaries, sample assignments, clearer expectations and CPD.
• Align assessment documentation and expectations with professional guidance and accreditation requirements.

3. AI, digital fluency and flexible delivery

• Integrate AI literacy and digital fluency within curricula and assessment design.
• Undertake AI audits to map where AI appears in learning and assessment, ensuring clarity, consistency and equitable access.
• Provide guidance on acceptable AI use, ethical considerations and GenAI‑responsive assessment design.
• Expand online, blended, asynchronous and hybrid modules to reduce participation barriers and support flexible learning pathways.
• Use inclusive Moodle templates, paperless learning and standardised VLE structures to improve clarity and parity for students.
• Continue developing AI‑focused modules and share examples of effective AI‑integrated practice across the institution.

4. Student voice, inclusion, wellbeing and co-creation

• Embed student partnership into curriculum development and assessment design through co‑creation, SSLC engagement and structured consultation.
• Refresh co‑created marking criteria, briefs and assessment guidance in collaboration with students.
• Strengthen inclusive education by addressing diverse learner needs through tailored support, preventative mental‑health processes and coordinated EAP provision.
• Improve module‑feedback response rates and integrate feedback data more consistently into enhancement activity.
• Implement inclusive teaching and assessment practices informed by institutional inclusion initiatives.

5. Skills, employability, research culture and graduate readiness

• Embed academic, digital and professional skills across programmes, aligned with accreditation frameworks and industry expectations.
• Strengthen employability through curriculum‑integrated activities, clear skills articulation and targeted improvements for postgraduate taught learners.
• Build research culture through opportunities for undergraduate and postgraduate research engagement, research‑based modules and progression pathways to PGR study.
• Align curriculum and assessment design with industry needs, embedding ethical/critical AI, creative and experimental assessments, and clear preparatory pathways.
• Support graduate readiness through problem‑solving modules, advanced disciplinary pathways and stronger connections to real‑world research and professional practice.