What UK Students Say About Delivery of Teaching: NSS Feedback Analysis (20,505 Comments, 2018–2025)
Overall tone on delivery is positive, but not uniform. Full‑time and younger students are notably more upbeat than part‑time and mature learners. Subjects also vary widely, with some CAH families reporting very strong sentiment and others much more mixed.
Sentiment index: +23.9 (−100 to +100 scale).
Key findings
- 20,505 comments analysed across UK programmes (2018–2025); overall sentiment is positive (index +23.9)
- Delivery attracts broad positivity across cohorts, but there are clear differences by study mode and age.
- Subject patterns diverge. Strong sentiment appears in health‑related and language areas (e.g., Subjects allied to medicine +35.8; Medicine & dentistry +34.8;...
What students are saying in this category
- Delivery attracts broad positivity across cohorts, but there are clear differences by study mode and age. Full‑time students (81.0% of comments) report a positive index of +27.3; part‑time students (16.2%) are markedly lower at +7.2. Younger students are more positive (+26.4) than mature learners (+16.4).
- Subject patterns diverge. Strong sentiment appears in health‑related and language areas (e.g., Subjects allied to medicine +35.8; Medicine & dentistry +34.8; Language and area studies +33.9). By contrast, several quantitative/technical families are more muted (Engineering & technology +9.5; Computing +10.9; Mathematical sciences +12.1; Combined & general studies +8.5).
- Differences by disability status and sex are modest: not disabled +24.3 vs disabled +22.7; female +25.4 vs male +22.2. Across ethnicity, sentiment is consistently positive, ranging roughly +21.7 to +27.0.
Segment differences at a glance
Mode of study (share within this category)
| Mode |
N |
Share % |
Pos % |
Neg % |
Sentiment idx |
| Full-time |
16,606 |
81.0 |
62.4 |
34.1 |
+27.3 |
| Part-time |
3,331 |
16.2 |
48.7 |
47.5 |
+7.2 |
| Apprenticeship |
124 |
0.6 |
65.3 |
31.5 |
+33.0 |
CAH subject groups (top 10 by volume; share within this category)
| Subject (CAH1) |
N |
Share % |
Sentiment idx |
| Social sciences (CAH15) |
2,114 |
10.3 |
+23.6 |
| Subjects allied to medicine (CAH02) |
1,786 |
8.7 |
+35.8 |
| Business and management (CAH17) |
1,556 |
7.6 |
+19.4 |
| Psychology (CAH04) |
1,203 |
5.9 |
+14.2 |
| Law (CAH16) |
1,106 |
5.4 |
+30.4 |
| Biological and sport sciences (CAH03) |
983 |
4.8 |
+32.8 |
| Engineering and technology (CAH10) |
940 |
4.6 |
+9.5 |
| Medicine and dentistry (CAH01) |
938 |
4.6 |
+34.8 |
| Historical, philosophical and religious studies (CAH20) |
882 |
4.3 |
+30.6 |
| Computing (CAH11) |
855 |
4.2 |
+10.9 |
What this means in practice
-
Close the part‑time delivery gap
- Guarantee parity: high‑quality recordings, clear slide decks, and timely release of materials.
- Chunk longer sessions; provide concise summaries and worked examples for catch‑up.
- Make assessment briefings accessible asynchronously and easy to reference.
-
Support mature learners’ experience
- Start topics with quick refreshers and explicit links to prior knowledge.
- Use concrete, practice‑oriented examples before abstraction.
- Provide clear signposting to “what to do next” after each session.
-
Lift clarity in lower‑scoring subject families
- Emphasise step‑by‑step worked examples, short formative checks, and pacing breaks.
- Standardise slide structure and terminology to reduce cognitive load.
- Share micro‑exemplars (5–10 minutes) of high‑performing sessions for peer learning.
-
Amplify what works
- Borrow techniques evident in higher‑scoring areas (e.g., practical application, frequent low‑stakes practice, clear scaffolding).
- Use a light‑touch delivery rubric (structure, clarity, pacing, interaction) and brief peer observations to spread effective habits.
-
Keep a simple feedback loop
- Run quick pulse checks after key teaching blocks and track shifts by mode and age.
- Review results termly with programme teams, focusing on actions that move the index.
How Student Voice Analytics helps you
- Measure topic and sentiment over time for Delivery of teaching, with drill‑downs from provider level to school/department and cohort.
- Like‑for‑like comparisons across CAH subject families and student demographics (age, mode, domicile, ethnicity), plus segmentation by site/campus and year.
- Concise, anonymised summaries and export‑ready outputs for programme teams and academic boards to act on quickly.
Data at a glance (2018–2025)
- Volume: 20,505 comments on Delivery of teaching; 100% sentiment coverage.
- Overall mood: 60.2% Positive, 36.3% Negative, 3.5% Neutral (index +23.9; ≈1.7:1 positive:negative).
- Who’s most positive: Apprenticeships (+33.0), Subjects allied to medicine (+35.8), Medicine & dentistry (+34.8), Language & area studies (+33.9), Biological & sport sciences (+32.8).
- Gaps to watch: Part‑time (+7.2) and mature learners (+16.4); lower tone in Engineering & technology (+9.5), Computing (+10.9), Mathematical sciences (+12.1), and Combined & general studies (+8.5).