Practice-based learning leads — 517 complementary medicine students

Scope. UK NSS open-text comments for Complementary and Alternative Medicine (CAH02-06-06) students across academic years 2018–2025.
Volume. ~517 comments; 96.1% successfully categorised to a single primary topic.
Overall mood. Roughly 57.9% Positive, 39.2% Negative, 2.8% Neutral (positive:negative ≈ 1.48:1).

What students are saying

Students in Complementary and Alternative Medicine talk first about practice-based learning. Placements, fieldwork and trips take the largest share of conversation (12.1% vs 3.4% sector), with a near‑neutral tone (index +2.3) that sits below the sector’s generally positive baseline for this topic. The themes are familiar: scheduling reliability, placement communications and the day‑to‑day practicalities around site experiences.

Academic content and delivery are strong notes. “Type and breadth of course content” is prominent (10.3% share) and positive (index +24.2). Comments about Teaching Staff (8.0%, +38.9) and Delivery of teaching (7.6%, +23.0) are notably upbeat, with Delivery of teaching sitting well above sector tone.

Operations show a mixed picture. Organisation and management of the course appears frequently (5.2%) and, unusually for the sector, leans mildly positive (index +7.5; +21.5 vs sector). However, Scheduling/timetabling (3.6%, −21.4) and Communication about course and teaching (2.4%, −51.0) are pain points—students want a single source of truth and fewer surprises.

Assessment & Feedback is where clarity matters most. Feedback (3.4%, −12.1) trends negative when the “what good looks like” is unclear or turnaround is unpredictable. Marking criteria (2.8%, −36.7) and Assessment methods (2.6%, −31.5) are especially sensitive to transparency and consistency.

Students also highlight personal growth and community. Student life carries a very positive tone (3.6%, +51.5), and Personal development is strongly positive (2.8%, +57.4). Some topics are less present than in the sector—Module choice/variety (1.2% vs 4.2% sector), Remote learning (1.4% vs 3.5%) and Learning resources overall (1.8% vs 3.8%)—suggesting day‑to‑day delivery and practice experience are more salient here than shopping for modules or commenting on generic facilities.

Top categories by share (discipline vs sector):

Category Section Share % Sector % Δ pp Sentiment idx Δ vs sector
Placements/ fieldwork/ trips Learning opportunities 12.1 3.4 +8.6 +2.3 −9.5
Type and breadth of course content Learning opportunities 10.3 6.9 +3.3 +24.2 +1.6
Teaching Staff The teaching on my course 8.0 6.7 +1.3 +38.9 +3.4
Delivery of teaching The teaching on my course 7.6 5.4 +2.2 +23.0 +14.2
Student support Academic support 6.0 6.2 −0.2 +17.6 +4.4
Organisation, management of course Organisation and management 5.2 3.3 +1.9 +7.5 +21.5
Student life Learning community 3.6 3.2 +0.4 +51.5 +19.4
Scheduling/ timetabling Organisation and management 3.6 2.9 +0.8 −21.4 −4.9
Feedback Assessment and feedback 3.4 7.3 −3.9 −12.1 +3.0
General facilities Learning resources 3.0 1.8 +1.2 +29.7 +6.3

Most negative categories (share ≥ 2%)

Category Section Share % Sector % Δ pp Sentiment idx Δ vs sector
Communication about course and teaching Organisation and management 2.4 1.7 +0.8 −51.0 −15.2
Marking criteria Assessment and feedback 2.8 3.5 −0.7 −36.7 +9.0
Assessment methods Assessment and feedback 2.6 3.0 −0.4 −31.5 −7.8
COVID-19 Others 2.2 3.3 −1.1 −25.5 +7.4
Communication with supervisor, lecturer, tutor Academic support 2.8 1.7 +1.1 −22.8 −14.8
Scheduling/ timetabling Organisation and management 3.6 2.9 +0.8 −21.4 −4.9
Feedback Assessment and feedback 3.4 7.3 −3.9 −12.1 +3.0

Shares are the proportion of all comments whose primary topic is the category. Sentiment index ranges from −100 (more negative than positive) to +100 (more positive than negative).

Most positive categories (share ≥ 2%)

Category Section Share % Sector % Δ pp Sentiment idx Δ vs sector
Personal development Learning community 2.8 2.5 +0.4 +57.4 −2.4
Student life Learning community 3.6 3.2 +0.4 +51.5 +19.4
Teaching Staff The teaching on my course 8.0 6.7 +1.3 +38.9 +3.4
Availability of teaching staff Academic support 2.0 2.1 −0.1 +35.7 −3.7
Career guidance, support Learning community 2.0 2.4 −0.4 +32.2 +2.2
General facilities Learning resources 3.0 1.8 +1.2 +29.7 +6.3
Type and breadth of course content Learning opportunities 10.3 6.9 +3.3 +24.2 +1.6

What this means in practice

  • Make operations predictable. Name an owner for timetable and course communications, keep a single source of truth, and publish a short weekly “what changed and why” update. A small, consistent rhythm reduces noise in Scheduling and Comms—the most negative operational topics.

  • Treat placements and fieldwork as a designed service. Confirm site capacity earlier; provide transparent allocation criteria; and build in a short, structured on‑site feedback moment. These basics move the near‑neutral placement tone into positive territory.

  • Prioritise assessment clarity. Publish annotated exemplars, checklist‑style rubrics and realistic feedback SLAs. Co‑calibrate marking within teams to cut noise around Marking criteria and Assessment methods.

  • Double down on what works. Teaching Staff and Delivery of teaching are strong differentiators—codify the practices students praise (clarity, structure, timely guidance) and spread them across modules.

Data at a glance (2018–2025)

  • Top topics by share: Placements/fieldwork/trips (12.1%), Type & breadth of course content (10.3%), Teaching Staff (8.0%), Delivery of teaching (7.6%), Student support (6.0%).
  • Cluster view:
    • Delivery & ops cluster (placements, scheduling, organisation, course comms, remote learning): ~24.7% of all comments.
    • People & growth cluster (teaching staff, delivery of teaching, student support, availability of staff, personal tutor, personal development, student life): ~30.8%.
  • 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 thousands of open-text responses into clear, prioritised action. It tracks topics and sentiment by year for Complementary and Alternative Medicine and every other discipline, so programme and school teams can see where to focus—placements and operations, assessment clarity, or strengths such as teaching quality.

It also lets you evidence progress with like-for-like sector comparisons across CAH codes and by demographics (e.g., year of study, domicile, mode of study, campus/site, commuter status). You can analyse at whole‑institution level and drill to schools, departments, cohorts, sites/providers and years, then export concise, anonymised theme summaries and representative comments for stakeholders and partners. Export‑ready outputs (web, deck, dashboard) make it straightforward to share priorities and track improvement over time.

How to use this subject hub

This page groups Student Voice blog case studies tagged to complementary and alternative medicine (CAH3). Use it to see which themes students raise most often in this subject area and what actions tend to follow.

  • Start with the most-read posts to understand the common issues.
  • Use theme links to jump to category hubs (e.g., workload, feedback, teaching).
  • Translate insights into governed evidence via Student Voice Analytics.

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?

Case studies on practice-based learning and teaching in complementary medicine

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