What UK Chemical, Process And Energy Engineering Students Say: NSS Feedback Analysis (1,928 Comments, 2018–2025)
Key findings
- 1,928 comments analysed across UK chemical, process and energy engineering programmes (2018–2025); 49% positive overall
- Feedback is the most-discussed topic (9.0% of comments, sentiment index −30.0)
- Marking criteria is the biggest pain point (sentiment −50.8, −5.2 vs sector)
- Personal development is a clear strength (sentiment +56.8)
What students are saying
The dominant story in this discipline is assessment clarity. Feedback is the single largest category (9.0% share) and trends clearly negative (index −30.0), echoed by Assessment methods (4.6%, −37.3) and Marking criteria (4.3%, −50.8). Students’ concerns are classic and actionable: what “good” looks like, how work is judged, and whether feedback is timely and useful. All three topics are more prominent than in the sector and carry a more negative tone.
Operational delivery also shapes the experience. Workload appears frequently (5.6% share, −46.7; well above sector by share), with Organisation and management of course (3.4%, −32.4), Scheduling/timetabling (2.1%, −27.9), and Communication about course and teaching (1.3%, −38.1) reinforcing the same signal: students want predictability, transparency and a single source of truth. Delivery of teaching (5.9%, −12.8) leans negative, whereas Teaching Staff (6.4%, +10.9) is recognised positively but sits well below the sector on tone.
Set against these frictions are strong people- and community-led positives. Opportunities to work with other students draws an unusually large share (7.1% vs 2.0% sector) and a positive tone (+21.4), suggesting that structured peer collaboration is valued. Career guidance and support (3.6%, +33.8), Student life (2.9%, +41.6), Personal development (2.5%, +56.8), Library (1.7%, +55.9) and Availability of teaching staff (1.7%, +50.2) stand out as strengths. Placements/fieldwork/trips are less central here by volume (1.8% vs 3.4% sector) but are positive when mentioned (+27.7).
Finally, Student support appears less often than sector (3.6% vs 6.2%) and is net negative (−11.6), indicating an opportunity to make support routes clearer and more responsive.
Top categories by share (discipline vs sector)
| Category |
Section |
Share % |
Sector % |
Δ pp |
Sentiment idx |
Δ vs sector |
| Feedback |
Assessment and feedback |
9.0 |
7.3 |
1.7 |
−30.0 |
−14.9 |
| Type and breadth of course content |
Learning opportunities |
8.3 |
6.9 |
1.4 |
+19.0 |
−3.6 |
| Opportunities to work with other students |
Learning community |
7.1 |
2.0 |
5.2 |
+21.4 |
+20.3 |
| Teaching Staff |
The teaching on my course |
6.4 |
6.7 |
−0.4 |
+10.9 |
−24.6 |
| Delivery of teaching |
The teaching on my course |
5.9 |
5.4 |
0.4 |
−12.8 |
−21.6 |
| Workload |
Organisation and management |
5.6 |
1.8 |
3.8 |
−46.7 |
−6.7 |
| Assessment methods |
Assessment and feedback |
4.6 |
3.0 |
1.6 |
−37.3 |
−13.5 |
| Marking criteria |
Assessment and feedback |
4.3 |
3.5 |
0.7 |
−50.8 |
−5.2 |
| Student voice |
Student voice |
3.7 |
1.8 |
2.0 |
−36.4 |
−17.2 |
| Student support |
Academic support |
3.6 |
6.2 |
−2.6 |
−11.6 |
−24.8 |
Most negative categories (share ≥ 2%)
| Category |
Section |
Share % |
Sector % |
Δ pp |
Sentiment idx |
Δ vs sector |
| Marking criteria |
Assessment and feedback |
4.3 |
3.5 |
0.7 |
−50.8 |
−5.2 |
| Workload |
Organisation and management |
5.6 |
1.8 |
3.8 |
−46.7 |
−6.7 |
| COVID-19 |
Others |
2.3 |
3.3 |
−1.0 |
−37.9 |
−5.0 |
| Assessment methods |
Assessment and feedback |
4.6 |
3.0 |
1.6 |
−37.3 |
−13.5 |
| Student voice |
Student voice |
3.7 |
1.8 |
2.0 |
−36.4 |
−17.2 |
| Organisation, management of course |
Organisation and management |
3.4 |
3.3 |
0.0 |
−32.4 |
−18.4 |
| Feedback |
Assessment and feedback |
9.0 |
7.3 |
1.7 |
−30.0 |
−14.9 |
Most positive categories (share ≥ 2%)
| Category |
Section |
Share % |
Sector % |
Δ pp |
Sentiment idx |
Δ vs sector |
| Personal development |
Learning community |
2.5 |
2.5 |
0.0 |
+56.8 |
−3.0 |
| Student life |
Learning community |
2.9 |
3.2 |
−0.2 |
+41.6 |
+9.5 |
| Career guidance, support |
Learning community |
3.6 |
2.4 |
1.2 |
+33.8 |
+3.7 |
| Opportunities to work with other students |
Learning community |
7.1 |
2.0 |
5.2 |
+21.4 |
+20.3 |
| Type and breadth of course content |
Learning opportunities |
8.3 |
6.9 |
1.4 |
+19.0 |
−3.6 |
| Teaching Staff |
The teaching on my course |
6.4 |
6.7 |
−0.4 |
+10.9 |
−24.6 |
| Learning resources |
Learning resources |
3.2 |
3.8 |
−0.6 |
+9.5 |
−11.9 |
What this means in practice
Start with assessment clarity. Use checklist-style rubrics mapped to each learning outcome, publish annotated exemplars that show “why this is merit/distinction,” and set a realistic feedback service level agreement that you can consistently meet. A short feed‑forward note alongside grades (“next time, do more of X, less of Y”) increases perceived usefulness and reduces repeat queries.
Stabilise the operational rhythm. Nominate a single owner for scheduling and course communications; publish a weekly “one source of truth” update that flags what changed and why; and set clear escalation routes when plans shift. Where workload pinch points are unavoidable, show the plan to smooth peaks and protect turnaround times.
Double down on the positives. Protect structured peer collaboration (it is both high‑volume and well‑liked), keep career guidance visible and proactive, and make it easy to access staff at predictable times. Library support is a bright spot—extend its reach by signposting targeted study skills around assessment tasks.
Data at a glance (2018–2025)
- Top topics by share: Feedback (≈9.0%), Type and breadth of course content (≈8.3%), Opportunities to work with other students (≈7.1%), Teaching Staff (≈6.4%), Delivery of teaching (≈5.9%), Workload (≈5.6%).
- Cluster view by share:
- Assessment & feedback (Feedback, Assessment methods, Marking criteria, Dissertation): ≈18.5%.
- Delivery & ops (Placements/fieldwork, Scheduling/timetabling, Organisation & management, Communication about course and teaching, Remote learning, Workload): ≈15.5%.
- People & growth (Personal Tutor, Student support, Teaching Staff, Availability of teaching staff, Delivery of teaching, Personal development, Student life): ≈23.8%.
- How to read the numbers. Each comment is assigned one primary topic; share is that topic’s proportion of all comments. Sentiment is an index from −100 (more negative than positive) to +100 (more positive than negative), averaged at category level. Sector columns show the same measures for a like‑for‑like benchmark.
How Student Voice Analytics helps you
Student Voice Analytics turns open‑text survey comments into clear, prioritised actions. It tracks topics and sentiment over time (by year), so programme, department and school leaders can see which categories are driving experience and how tone is shifting.
It enables like‑for‑like sector comparisons across CAH codes and by demographics (e.g., year of study, domicile, mode of study, campus/site, commuter status), so you can evidence progress against the most relevant peer group. You can segment by site/provider, cohort and year to target interventions precisely, and share concise, anonymised summaries and representative comments with partners and programme teams. Export‑ready outputs (for web, decks and dashboards) make it straightforward to brief the whole institution as well as fine‑grained departmental audiences on priorities and progress.