What UK Liberal Arts (Non-Specific) Students Say: NSS Feedback Analysis (610 Comments, 2018–2025)

Key findings

  • 610 comments analysed across UK liberal arts (non-specific) programmes (2018–2025); 49% positive overall
  • Module choice / variety is the most-discussed topic (16.2% of comments, sentiment index +10.2)
  • Strike Action is the biggest pain point (sentiment −57.6, +5.4 vs sector)
  • Personal development is a clear strength (sentiment +55.0)

What students are saying

The Liberal Arts conversation is led by choice. About one in six comments focuses on Module choice/variety (≈16.2% share), far above the sector average (+12.0 pp). The tone is mildly positive (index ~+10.2) but less upbeat than the sector for the same topic. Students clearly value pathways and optionality; where modules are clear, available and clash‑free, sentiment improves.

Beyond choice, students pay close attention to the overall shape and content of the course. Type and breadth of course content (6.9%) is a net positive (index ~+25.7, above sector), suggesting students recognise the scope of the curriculum. The people and community elements also land well: Student life (6.5%, index ~+33.1), Teaching Staff (4.3%, ~+36.7), Delivery of teaching (3.3%, ~+9.8) and Personal Tutor (3.2%, ~+23.2) provide a positive anchor. By contrast, Student support attracts a comparable volume (6.7%) but trends slightly negative (index ~−2.8, well below sector on tone), signalling a service experience that feels patchy or slow at times.

Assessment and feedback is a mixed picture. Feedback (5.5%) is strongly negative (index ~−35.9, markedly below sector), and Marking criteria (2.5%) is very negative (index ~−54.2). Assessment methods (3.7%) sits closer to neutral (index ~−7.5) and is notably better than sector on tone. The common thread is clarity: when expectations and standards are transparent, sentiment lifts across all three.

Operational delivery sits in the background but matters when it goes wrong. Organisation and management of the course (3.0%, index ~−36.8), Communication about course and teaching (2.5%, ~−49.1) and Scheduling/timetabling (0.8%, ~−49.7) all lean negative, pointing to the value of clear ownership, a single source of truth, and predictable change handling. “Year abroad” (1.5%) stands out as a positive niche (index ~+30.9, well above sector). Facilities are mixed: Library is modestly positive (2.0%, ~+17.7) while Study space (1.5%, ~−35.8) and Contact time (1.2%, ~−59.1) draw criticism. Placements/fieldwork are largely absent in this discipline (0.3% vs 3.4% sector), underscoring that the day‑to‑day experience is shaped more by taught options than by fieldwork.

Top categories by share (discipline vs sector)

Category Section Share % Sector % Δ pp Sentiment idx Δ vs sector
Module choice / variety Learning opportunities 16.2 4.2 +12.0 +10.2 −7.2
Type and breadth of course content Learning opportunities 6.9 6.9 −0.1 +25.7 +3.1
Student support Academic support 6.7 6.2 +0.5 −2.8 −16.0
Student life Learning community 6.5 3.2 +3.3 +33.1 +1.0
Feedback Assessment and feedback 5.5 7.3 −1.8 −35.9 −20.9
Teaching Staff The teaching on my course 4.3 6.7 −2.4 +36.7 +1.2
Assessment methods Assessment and feedback 3.7 3.0 +0.7 −7.5 +16.3
Delivery of teaching The teaching on my course 3.3 5.4 −2.1 +9.8 +1.1
Personal Tutor Academic support 3.2 3.2 +0.0 +23.2 +4.6
COVID-19 Others 3.2 3.3 −0.2 −48.2 −15.3

Most negative categories (share ≥ 2%)

Category Section Share % Sector % Δ pp Sentiment idx Δ vs sector
Strike Action Others 2.7 1.7 +0.9 −57.6 +5.4
Marking criteria Assessment and feedback 2.5 3.5 −1.0 −54.2 −8.5
Communication about course and teaching Organisation and management 2.5 1.7 +0.9 −49.1 −13.3
COVID-19 Others 3.2 3.3 −0.2 −48.2 −15.3
Organisation, management of course Organisation and management 3.0 3.3 −0.3 −36.8 −22.9
Feedback Assessment and feedback 5.5 7.3 −1.8 −35.9 −20.9
Assessment methods Assessment and feedback 3.7 3.0 +0.7 −7.5 +16.3

Most positive categories (share ≥ 2%)

Category Section Share % Sector % Δ pp Sentiment idx Δ vs sector
Personal development Learning community 2.0 2.5 −0.5 +55.0 −4.8
Teaching Staff The teaching on my course 4.3 6.7 −2.4 +36.7 +1.2
Student life Learning community 6.5 3.2 +3.3 +33.1 +1.0
Type and breadth of course content Learning opportunities 6.9 6.9 −0.1 +25.7 +3.1
Personal Tutor Academic support 3.2 3.2 +0.0 +23.2 +4.6
Career guidance, support Learning community 2.7 2.4 +0.3 +17.8 −12.3
Library Learning resources 2.0 1.8 +0.2 +17.7 −9.1

What this means in practice

  • Make choice real and reliable. With Module choice/variety dominating the conversation, publish option lists early with clear prerequisites, capacity and viability thresholds. Align timetabling across departments to minimise clashes; confirm and communicate any changes with a short “what changed and why” note so students retain confidence in the process.

  • Fix the assessment clarity gap. Commit to an assessment and feedback service level (e.g., turnaround times), provide annotated exemplars and checklist‑style rubrics, and ensure marking criteria are explained with brief calibration sessions. These steps directly address the strongly negative tone around Feedback and Marking criteria.

  • Strengthen support and operations. Name an owner for course organisation and communications; keep a single source of truth for updates; use a weekly digest and a simple change‑log. For Student support, simplify entry points (“one front door”), track response times, and make hand‑offs visible so students aren’t left to chase.

Data at a glance (2018–2025)

  • Top topics by share: Module choice/variety (≈16.2%), Type and breadth of course content (≈6.9%), Student support (≈6.7%), Student life (≈6.5%), Feedback (≈5.5%).
  • Clusters:
    • People & growth (Personal Tutor, Student support, Teaching Staff, Availability of teaching staff, Delivery of teaching, Personal development, Student life): ≈26.7% of all comments, strongly positive overall.
    • Delivery & ops (Placements/fieldwork, Scheduling, Organisation & management, Communications, Remote learning): ≈7.4%, with negative tone concentrated in organisation, comms and timetabling.
    • Assessment & feedback (Feedback, Assessment methods, Marking criteria, Dissertation): ≈13.4%, mixed tone with clarity issues prominent.
  • Placements/fieldwork are scarcely mentioned here (≈0.3% vs 3.4% sector).

How to read the numbers. Each comment is assigned one primary topic; share is that topic’s proportion of all comments. Sentiment is calculated per sentence and summarised as an index from −100 (more negative than positive) to +100 (more positive than negative), then averaged at category level.

How Student Voice Analytics helps you

Student Voice Analytics turns open‑text survey comments into clear priorities you can act on. It tracks topics and sentiment by year so you can see what changed, where, and why—at whole‑institution level and down to schools and departments.

It also lets you prove change on a like‑for‑like basis. You get sector comparisons across CAH codes and by demographics (e.g., year of study, domicile, mode of study, campus/site, commuter status), plus segmentation by site/provider, cohort and year. Concise, anonymised theme summaries and representative comments make it simple to brief partners and programme teams. Export‑ready outputs (web, decks, dashboards) keep sharing and governance straightforward.

How to use this data

This page presents sector-level student feedback analysis for liberal arts (non-specific), with sentiment benchmarks and topic breakdowns you can reference directly in institutional documents.

Use this for

  • Annual Programme Review (APR) — reference the top-categories table and sentiment benchmarks to contextualise your programme's results against the discipline.
  • TEF and quality enhancement — cite the sentiment index and sector delta columns as evidence of awareness of student priorities relative to the sector.
  • Professional body revalidation — draw on placement, assessment and support data for evidence of responsiveness to student feedback in your discipline.
  • Staff-Student Liaison Committees (SSLCs) — share the key findings and most-negative categories as discussion starters with student representatives.
  • New programme design — use the topic share and sentiment data to anticipate which aspects of the student experience will need proactive attention.

Common themes in this subject area (on our blog)

Most-read posts in this subject area

Recommended next steps

  1. Look for repeatability: which themes recur across years and modules?
  2. Check whether issues are structural (resources/staffing) or local (one module/team).
  3. Define what “good” looks like for the subject (examples, rubrics, assessment clarity).
  4. Track movement: do actions reduce volume/negativity for key themes next cycle?

Cite this page

Student Voice AI (2025). "Liberal Arts (non-specific) student feedback analysis (CAH23-01-04)." Student Voice AI. https://www.studentvoice.ai/cah3/liberal-arts-(non-specific)/

Case studies on module choice, support and student life in liberal arts

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