What UK Students Say About Placements, Fieldwork and Trips: NSS Feedback Analysis (13,023 Comments, 2018–2025)

Students’ comments on placements, fieldwork and trips are broadly positive, but the experience isn’t even. Younger and full‑time students are notably more positive than mature, part‑time and apprenticeship cohorts; tone also varies by ethnicity and CAH subject band.

Key findings

  • 13,023 comments analysed across UK programmes (2018–2025)
  • The aggregate tone is moderately positive (+23.1), with three in five comments positive.
  • Experience differs by life stage: young students are more positive (+28.0) than mature (+12.7).

What students are saying in this category

  • The aggregate tone is moderately positive (+23.1), with three in five comments positive.
  • Experience differs by life stage: young students are more positive (+28.0) than mature (+12.7).
  • Mode matters: full‑time is positive (+24.9), while part‑time (+11.2) and apprenticeships (+3.0) are much closer to neutral.
  • By ethnicity, White students are most positive (+25.9) and Black students least (+8.1), with Asian students in between (+19.3).
  • Subject mix is broad; the largest volume sits in CAH02 (subjects allied to medicine, 40.2% of placement comments) with a relatively restrained tone (+12.0), whereas several STEM and field disciplines report strongly positive sentiment (e.g., computing +48.6; geography +47.8).

Segment snapshot (selected)

Dimension Group Comments Share % Positive % Negative % Sentiment idx
Overall All students 13023 100.0 60.6 34.8 23.1
Age Young 9234 70.9 64.7 30.8 28.0
Age Mature 3320 25.5 50.8 44.3 12.7
Mode Full‑time 11767 90.4 61.9 33.6 24.9
Mode Part‑time 617 4.7 48.5 46.0 11.2
Mode Apprenticeship 155 1.2 45.2 51.0 3.0
Sex Female 9229 70.9 58.9 36.6 21.5
Sex Male 3312 25.4 67.0 28.3 30.9
Disability Not disabled 10403 79.9 61.6 33.7 24.7
Disability Disabled 2153 16.5 58.3 37.4 20.5
Ethnicity White 9576 73.5 62.4 33.1 25.9
Ethnicity Asian 1021 7.8 56.6 37.5 19.3
Ethnicity Black 680 5.2 50.7 45.0 8.1

Notes: Sentiment index ranges −100 to +100; higher = more positive. “Share %” is each group’s share of comments within this category.

Subject mix within placements (CAH1, top volume bands)

CAH1 band (selected) Comments Share % Positive % Negative % Sentiment idx
(CAH02) subjects allied to medicine 5239 40.2 50.9 43.9 12.0
(CAH01) medicine and dentistry 1742 13.4 60.6 35.2 26.2
(CAH03) biological and sport sciences 758 5.8 78.1 18.9 44.6
(CAH26) geography, earth and environmental studies 729 5.6 79.8 16.0 47.8
(CAH15) social sciences 527 4.0 54.1 41.0 15.5
(CAH17) business and management 376 2.9 70.7 22.6 31.9

What this means in practice

  • Lock in logistics early: confirm site capacity before timetables, publish a simple “what changed and why” weekly update, and declare a rota freeze window ahead of each block.
  • Design for non‑standard modes: ring‑fence flexible options and clearer escalation for part‑time and apprenticeship students, whose tone is closest to neutral.
  • Equity lens on support: schedule proactive check‑ins for mature and Black students; track and resolve placement environment issues quickly.
  • Mentor readiness, every time: provide a one‑page mentor brief, expected contact rhythm, and a 2‑minute onboarding checklist for each placement start.
  • Rapid issue loop: capture on‑placement concerns via a QR micro‑form, triage within 48 hours, and publish weekly closure rates by theme.
  • Reasonable adjustments by default: pre‑agree adjustments with providers and record them against placement allocations so support is in place on day one.

How Student Voice Analytics helps you

  • Always‑on tracking of placement comments and sentiment, with drill‑downs by mode, age, ethnicity, disability and CAH band.
  • Like‑for‑like comparisons across CAH codes and demographics, plus custom slices by site/provider, cohort and year.
  • Concise, anonymised summaries for placement partners and programme teams, with export‑ready tables for quick briefing and action planning.

How to use this data

This page presents sector-level student feedback analysis for the Placements, Fieldwork and Trips category (Learning opportunities), with demographic and subject-area benchmarks you can reference directly in institutional documents.

Use this for

  • Annual Programme Review (APR) — reference the segment benchmarks to contextualise your programme's feedback patterns against the sector.
  • TEF and quality enhancement — cite the demographic breakdowns and subject-area sentiment as evidence of awareness of differential student experience.
  • Equality, diversity and inclusion (EDI) — use the ethnicity, disability and age segment data to evidence where feedback experience differs by student group.
  • Staff-Student Liaison Committees (SSLCs) — share the key findings and subject-area table as discussion starters with student representatives.
  • Action planning — use the "What this means in practice" recommendations as a starting point for targeted interventions.

Common subject areas linked to this theme (on our blog)

Most-read posts in this category

Recommended next steps

  1. Quantify: how often does this theme appear (and where)?
  2. Segment: by discipline (CAH/HECoS), level, mode, and cohort where appropriate.
  3. Benchmark: compare like-for-like to avoid cohort-mix artefacts.
  4. Act: define 1–3 changes, then track whether the theme shifts next cycle.

Cite this page

Student Voice AI (2025). "Placements, Fieldwork and Trips: NSS student feedback analysis (2018–2025)." Student Voice AI. https://www.studentvoice.ai/category/placements-fieldwork-trips/

Subject specific insights on "placements fieldwork trips"

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