What UK Students Say About Extra-curricular Activities: NSS Feedback Analysis (3,008 Comments, 2018–2025)
Students are broadly positive about extra‑curricular opportunities, but the tone softens for mature and part‑time learners and varies by subject area. Practical takeaway: widen access (times, modes, cost), reduce friction to participate, and tailor offers where tone is weaker.
Key findings
- 3,008 comments analysed across UK programmes (2018–2025)
- Tone is strongly positive overall (+44.1), with three in four comments positive.
- Access gap: mature students (index +30.3; 30.1% negative) and part‑time students (+16.6; 41.3% negative) are markedly less positive than young/full‑time peers.
What are students saying in this category?
- Tone is strongly positive overall (+44.1), with three in four comments positive.
- Access gap: mature students (index +30.3; 30.1% negative) and part‑time students (+16.6; 41.3% negative) are markedly less positive than young/full‑time peers.
- Demographics: female comments are slightly more positive than male (+45.7 vs +42.9). Disabled and non‑disabled students report similar tone (~+44).
- Ethnicity: most groups are positive; comments from Black students are notably lower (+32.2) than White (+45.0) and not UK‑domiciled (+46.5).
- Subjects: among larger subject groups (n≥100), the strongest tone is in Biological & Sport Sciences (+49.0) and Social Sciences (+48.1). It is weaker in Subjects Allied to Medicine (+29.0) and Psychology (+38.9).
Benchmarks by segment
Key demographic contrasts
| Segment |
n |
Pos % |
Neg % |
Sentiment idx |
| Age — Young |
2722 |
77.6 |
16.9 |
45.7 |
| Age — Mature |
226 |
66.8 |
30.1 |
30.3 |
| Mode — Full‑time |
2863 |
77.4 |
17.3 |
45.2 |
| Mode — Part‑time |
80 |
53.8 |
41.3 |
16.6 |
| Sex — Female |
1555 |
78.4 |
17.3 |
45.7 |
| Sex — Male |
1383 |
74.8 |
18.7 |
42.9 |
| Ethnicity — White |
1881 |
76.8 |
18.8 |
45.0 |
| Ethnicity — Black |
116 |
74.1 |
20.7 |
32.2 |
| Ethnicity — Not UK domiciled |
297 |
78.5 |
14.5 |
46.5 |
| Disability — Disabled |
530 |
75.7 |
18.7 |
44.1 |
| Disability — Not disabled |
2418 |
77.0 |
17.7 |
44.6 |
Subject areas (CAH1) — n≥100 comments
| Strongest tone |
n |
Pos % |
Sentiment idx |
|
Weaker tone |
n |
Pos % |
Sentiment idx |
| Biological & Sport Sciences |
147 |
78.9 |
49.0 |
|
Subjects Allied to Medicine |
147 |
65.3 |
29.0 |
| Social Sciences |
368 |
80.7 |
48.1 |
|
Psychology |
125 |
76.8 |
38.9 |
| Law |
177 |
80.2 |
46.5 |
|
Medicine & Dentistry |
126 |
77.0 |
41.1 |
| Computing |
122 |
73.8 |
46.2 |
|
Historical/Philosophical/Relig. |
125 |
75.2 |
43.2 |
| Engineering & Technology |
134 |
74.6 |
44.9 |
|
Business & Management |
280 |
76.1 |
43.9 |
Note: Rows with “Unknown/Unspecified” or very small n are not shown.
What this means in practice
-
Make participation feasible for non‑traditional patterns
- Offer activities across times (day/evening/weekend) and formats (in‑person + hybrid/online).
- Provide micro‑opportunities (≤60 minutes) and drop‑ins alongside longer commitments.
-
Remove friction and cost
- Single calendar and simple sign‑up; clear “what to expect” in <100 words.
- Minimise or subsidise costs (travel/materials); consider childcare-friendly options.
-
Targeted outreach where tone is lower
- Co‑design with mature, part‑time and Black student reps; advertise through trusted channels.
- Track participation and quick feedback for these groups to evidence improvement.
-
Tailor by subject
- For lower‑tone areas (e.g., Subjects Allied to Medicine, Psychology), align activities with timetable rhythms and peak workload; integrate course‑adjacent options (e.g., skills, networks).
-
Evidence it
- Monitor attendance and brief satisfaction pulses by segment; review monthly to iterate offers.
How Student Voice Analytics helps you
- End‑to‑end visibility of category tone over time, with drill‑downs by provider, school/department, subject group (CAH), and demographics (age, domicile, mode, campus/site).
- Concise, anonymised summaries and export‑ready tables for programme teams and student partners, enabling like‑for‑like comparisons and quick briefings.
Data at a glance (2018–2025)
- Volume: 3,008 comments (100% with sentiment); ≈0.8% of all open‑text.
- Overall mood: 76.5% Positive, 18.2% Negative, 5.3% Neutral; index +44.1 (≈4.2:1 positive:negative).
- Largest segments by volume: Young (90.5%), Full‑time (95.2%), Female (51.7%).