What are students actually saying about Contact time (NSS 2018–2025)?

Students are consistently dissatisfied with contact hours. Comments focus on the amount, reliability and accessibility of taught time, with a markedly negative tone across most subject areas and student groups. Fastest wins: make the timetable a promise (delivered vs planned), reduce short-notice changes, and build in accessible alternatives where live contact cannot be guaranteed.

Scope: UK NSS open-text comments tagged to Contact time across academic years 2018–2025.
Volume: 2,260 comments (≈0.6% of 385,317 analysed); 100% with sentiment.
Overall mood: 21.7% Positive, 72.2% Negative, 6.1% Neutral (positive:negative ≈ 0.30:1). Sentiment index: −26.8.

What students are saying in this category

  • Tone is strongly negative across the board. Full-time and part-time students are similarly critical (indices −27.0 and −26.7). Younger and mature students are near-identical (−27.0 and −26.2).
  • Disabled students report a more negative experience (−31.0) than those not disabled (−26.1), suggesting barriers in how contact is scheduled or delivered.
  • By subject area (CAH1), large-volume clusters are clearly negative: social sciences (−35.6), historical/philosophical/religious studies (−33.0), languages (−31.3), psychology (−30.9). Some areas are less negative: allied to medicine (−14.5), engineering (−14.3), arts (−18.1). Positive outliers exist but are small in volume (e.g., medicine & dentistry +30.1; architecture +19.2).
  • Ethnic group differences are mixed: White students align with the overall tone (−27.5); Asian students are somewhat less negative (−21.6). Black students are closer to neutral (−4.2) but numbers are small (n=34).

Segment benchmarks (2018–2025)

Top CAH subjects by volume

CAH subject (top by volume) Comments Share % Sentiment idx Positive % Negative %
(CAH15) social sciences 323 14.3 -35.6 15.5 78.6
(CAH20) historical, philosophical and religious studies 283 12.5 -33.0 19.4 78.1
(CAH19) language and area studies 198 8.8 -31.3 17.7 74.2
(CAH17) business and management 114 5.0 -27.6 21.1 70.2
(CAH25) design, and creative and performing arts 109 4.8 -18.1 30.3 64.2
(CAH04) psychology 102 4.5 -30.9 17.6 71.6
(CAH16) law 92 4.1 -26.9 18.5 78.3
(CAH26) geography, earth and environmental studies 91 4.0 -28.5 18.7 74.7
(CAH02) subjects allied to medicine 71 3.1 -14.5 28.2 64.8
(CAH03) biological and sport sciences 61 2.7 -17.9 27.9 68.9

Demographic and study-mode view

Segment Group Comments Sentiment idx Positive % Negative %
Age Young 2,044 -27.0 21.5 72.3
Age Mature 187 -26.2 22.5 73.3
Disability Not disabled 1,834 -26.1 22.5 71.6
Disability Disabled 397 -31.0 17.4 75.6
Mode Full-time 2,094 -27.0 21.5 72.3
Mode Part-time 131 -26.7 22.9 74.8
Sex Female 1,477 -27.6 20.6 73.5
Sex Male 749 -25.8 23.5 70.1
Ethnicity White 1,705 -27.5 21.0 73.0
Ethnicity Asian 139 -21.6 27.3 68.3
Ethnicity Black 34 -4.2 41.2 52.9

What this means in practice

  1. Protect the timetable
  • Publish planned contact hours per module and track delivered vs planned weekly.
  • Introduce a “no-surprises window” (e.g., no changes inside 72 hours) and a simple change log.
  • If a session is cancelled, auto-schedule the replacement within a defined SLA.
  1. Make access predictable
  • Standardise staff office hours and make them visible in calendars.
  • Offer accessible alternatives for unavoidable clashes (recordings, repeat labs/seminars within a week).
  • Prioritise adjustments where the disabled student gap is evident (−31.0 vs −26.1).
  1. Monitor and close the loop
  • Add a lightweight pulse after weeks with changes (two-question micro‑survey).
  • Track the top three failure modes (e.g., late changes, rooming issues, staff availability) and publish fixes.

How Student Voice Analytics helps you

  • See category-level sentiment over time and drill down by CAH subject, demographics, mode, campus/site or cohort.
  • Like-for-like peer comparisons by subject (CAH codes) and student characteristics to target where the gap is widest.
  • Export concise, anonymised summaries for programme and timetable teams to action quickly.

Data at a glance (2018–2025)

  • Volume: 2,260 comments on Contact time (≈0.6% of 385,317 total).
  • Sentiment coverage: 100% of comments scored.
  • Overall tone: 21.7% Positive, 72.2% Negative, 6.1% Neutral; index −26.8.

Subject specific insights on "contact time"