How can feedback be improved in business and management studies?
Updated Mar 05, 2026
feedbackbusiness and managementStudents cannot act on feedback that arrives late, feels generic, or fails to link back to the marking criteria. Across the National Student Survey (NSS) open-text comments, analysed using our NSS open-text analysis methodology, feedback skews negative (57.3% negative; sentiment −10.2).
In business and management (non-specific), the broad grouping for generalist business programmes, feedback makes up about 10.6% of comments and remains mildly negative (−11.5). Marking criteria score lowest (−46.5). Publish turnaround standards, use concise rubrics with annotated exemplars, and embed feed‑forward so students know exactly what to do next.
How should curriculum design align with industry relevance?
Keep curricula industry-relevant by pairing a strong theoretical foundation with structured employer input. Use scheduled advisory panels and labour‑market scans to refine modules and keep learning outcomes current. Make expectations explicit with feedback standards by assessment type and clear feed‑forward. Short calibration sprints on sample scripts help teams align judgements and ensure curriculum content and assessment reflect current industry expectations.
How do teaching methods raise student engagement?
Raise engagement by combining active learning with iterative feedback. Build short checkpoints into seminars, use low‑stakes polls and short reflective tasks, and timetable brief, dialogic feedback sessions so students can test understanding and plan improvements. Keep expectations for turnaround and quality consistent in hybrid delivery, with clear signposting to criteria and exemplars. Adopting staged feedback and checklists, common in provision that serves working adults, helps full‑time cohorts use comments more effectively.
Which assessment types and feedback mechanisms work best?
Varied assessment can demonstrate knowledge and application, but students need clarity on what “good” looks like. Provide annotated exemplars, checklist‑style rubrics, and brief “how to improve” notes aligned to the marking criteria (see business studies students’ views on marking criteria). Combine project‑based work with interim milestones to create regular feed‑forward, not just post‑hoc commentary. Teams should calibrate markers on shared samples and run spot checks for specificity, actionability, and alignment to criteria, so feedback quality remains consistent across modules and markers.
How should workplace skills and employability be embedded?
Employability skills work best when they are integrated into assessment briefs and marking criteria rather than sitting in optional modules. Map these skills to programme outcomes and show students how the criteria evidence them. Use employer‑informed case work and live projects, and publish short “you said → we did” updates that show how cohort feedback, a practical form of student voice, on employability has changed formats, timelines, or criteria. This approach links academic performance to workplace readiness and makes the feedback loop visible.
How should technology integration support feedback in business education?
Digital platforms allow real‑time comments, audio notes, and rubric‑based marking at scale. Use them to track on‑time rates, provide structured feed‑forward, and give students a single source of truth for criteria and exemplars. Avoid over‑reliance on automation by retaining brief, dialogic moments and opportunities for questions in workshops and labs. Accessibility and reliability checks ensure all students can act on feedback, whether they study on campus or remotely.
What challenges do business and management students report about feedback?
Students frequently report feedback that arrives too late to use, lacks alignment to criteria, or reads as generic. Programme teams can address this by publishing a feedback turnaround standard within each module guide, aligning comments to criteria with short “next steps,” and scheduling brief follow‑up opportunities. Target large, core modules for calibration and add light‑touch audits of feedback samples each term to reduce variation.
What future trends shape business and management education?
Providers that get the basics right, timely feedback, usable next steps, and clear links to criteria, see improved NSS scores and stronger engagement. Expect more use of exemplars, structured peer review, and analytics that show whether students open and act on feedback. Teams that learn from mature and part‑time provision (staged feedback, dialogic sessions, checklists) and visibly close the loop are better placed to sustain improvement.
How Student Voice Analytics helps you
Student Voice Analytics turns NSS open text into trackable metrics for feedback and assessment in business and management. It surfaces topic share and sentiment over time (see our student feedback analysis glossary for definitions), highlights where tone is weakest, and enables drill‑downs from school to programme and module. Compare like‑for‑like across CAH areas and cohorts, export concise summaries for boards and module teams, and evidence progress with “you said → we did” updates grounded in data. To prioritise fixes, benchmark feedback topics and sentiment for your school, then track whether improvements to turnaround standards and criteria clarity change what students write. Explore Student Voice Analytics to get a clear baseline and report progress.
Request a walkthrough
Book a free Student Voice Analytics demo
See all-comment coverage, sector benchmarks, and reporting designed for OfS quality and NSS requirements.
- All-comment coverage with HE-tuned taxonomy and sentiment.
- Versioned outputs with TEF-ready reporting.
- Benchmarks and BI-ready exports for boards and Senate.
UK-hosted · No public LLM APIs · Same-day turnaround
Related Entries
- Group work assessment best practice
- Feedback and Feedforward in UK Higher Education
- What should business studies teams fix first about feedback?
- Do business studies students trust marking criteria?
- NSS open-text analysis methodology for UK HE
- Student feedback analysis glossary for UK HE