What are students actually saying about Learning resources (NSS 2018–2025)?

Students are broadly positive about the resources that support their study. Tone is consistently positive (sentiment index +33.6), with roughly two-thirds of statements praising access, quality or usefulness. There are clear gaps, however: disabled students score notably lower than their peers, some subject areas are less satisfied, and full-time and younger students are slightly less positive than their counterparts.

Scope: UK NSS open-text comments for Learning resources across academic years 2018–2025.
Volume: 14,058 comments (≈3.6% of all 385,317 comments), with 100.0% sentiment coverage.
Overall mood: 67.7% Positive, 29.3% Negative, 3.0% Neutral (index +33.6; positive:negative ≈ 2.3:1).

What are students saying in this category?

  • The balance of feedback is positive, indicating that core provision (physical and digital access, equipment, and materials) is generally working for most students.
  • There is a measurable accessibility gap: disabled students’ tone (+28.1) trails non-disabled peers (+35.5) by −7.4 points.
  • Part-time (+35.4) and mature (+35.1) students are slightly more positive than full-time (+32.7) and younger students (+32.9), suggesting different usage patterns or support models that could be shared.
  • By subject, sentiment ranges widely: Psychology is very positive (+43.5) and several humanities areas are strong (e.g., Combined & General +39.6), while Computing (+27.4) and Medicine & Dentistry (+19.5) are more critical.

Segment view (2018–2025 aggregate)

Demographic snapshot

Dimension Group Share % n Sentiment idx
Age Young 51.4 7,223 32.9
Age Mature 47.4 6,663 35.1
Mode Full-time 49.9 7,015 32.7
Mode Part-time 48.6 6,829 35.4
Disability Not disabled 78.6 11,054 35.5
Disability Disabled 20.2 2,834 28.1
Sex Female 55.3 7,769 33.5
Sex Male 43.3 6,091 34.7

Top subject groups (CAH1) by volume

Subject group (CAH1) Share % n Sentiment idx
Social sciences (CAH15) 9.1 1,278 34.8
Psychology (CAH04) 8.6 1,210 43.5
Combined and general studies (CAH23) 8.4 1,181 39.6
Business and management (CAH17) 8.4 1,174 31.5
Computing (CAH11) 7.4 1,036 27.4
Engineering and technology (CAH10) 5.7 797 29.1
Subjects allied to medicine (CAH02) 5.2 730 33.1
Mathematical sciences (CAH09) 4.8 675 35.6

Additional ethnicity highlights (by sentiment index): Not UK domiciled +38.6; Other +34.8; White +34.3; Mixed +32.8; Black +32.5; Asian +30.7.

What this means in practice

  1. Close the accessibility gap

    • Audit core resources (systems, reading lists, equipment booking, study spaces) against accessibility standards.
    • Provide alternative formats by default and make assistive routes explicit at the point of need.
    • Track fixes with a simple “accessibility backlog” and publish resolution times.
  2. Transfer what works for mature and part-time students to the wider cohort

    • Extend service hours or flexible access windows where usage skews outside daytime.
    • Offer clear, single-location signposting for key digital platforms and resource links.
    • Promote quick-start guides at the start of each term/module.
  3. Target low-tone subject areas with “resource readiness” checks

    • Before term start, verify availability, capacity and compatibility of high-demand resources (labs, specialist software, equipment).
    • Name an owner per subject area; capture issues weekly and close the loop to students with short update summaries.
  4. Reduce friction for international and minority groups

    • Simplify off-campus access steps; use plain-language instructions and screenshots.
    • Provide timely helpdesk options (live chat/email) during peak assignment periods.

How Student Voice Analytics helps you

  • See topic volume and sentiment over time, and drill down from institution to school/department, cohort or site.
  • Compare like-for-like across CAH subject groups and demographics (domicile, mode, year of study), and export concise summaries for programme and service teams.

Data at a glance (2018–2025)

  • Volume: 14,058 comments; 100.0% with sentiment.
  • Mood: 67.7% Positive, 29.3% Negative, 3.0% Neutral (index +33.6; ≈2.3:1 positive:negative).
  • Notable gaps: Disabled vs not disabled (−7.4 index points), full-time vs part-time (−2.7), young vs mature (−2.2).
  • Subject spread: Strong in Psychology (+43.5) and Combined & General (+39.6); weaker in Computing (+27.4) and Medicine & Dentistry (+19.5).

How to use this category hub

This page groups Student Voice blog case studies where students talk about Learning Resources (theme: Learning resources). Use it to find examples, then connect them to evidence you can act on.

  • Scan the most-read posts for patterns and language students use.
  • Use the hub links to move from a theme to programmes/disciplines.
  • Turn themes into evidence via Student Voice Analytics (NSS, PTES, PRES, UKES, module evaluations).

Common subject areas linked to this theme (on our blog)

Most-read posts in this category

Recommended next steps

  1. Quantify: how often does this theme appear (and where)?
  2. Segment: by discipline (CAH/HECoS), level, mode, and cohort where appropriate.
  3. Benchmark: compare like-for-like to avoid cohort-mix artefacts.
  4. Act: define 1–3 changes, then track whether the theme shifts next cycle.

Subject specific insights on "learning resources"

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