What UK English Studies (Non-Specific) Students Say: NSS Feedback Analysis (2018–2025)

What students are saying

This extract does not include any category rows, so we cannot summarise specific topics or sentiment for English Studies at this time. When the underlying data is available, the analysis will identify which categories dominate student comments, how their tone trends over time, and where the discipline differs most from sector patterns.

Top categories by share (discipline vs sector):

Most negative categories (share ≥ 2%)

Shares are the proportion of all English Studies 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%)

What this means in practice

• Prioritise the categories with the largest share once data is available; these are the themes most students experience day to day.
• Focus early improvement on categories with low sentiment indices and clear operational levers (e.g., timetabling reliability, transparency of communications, clarity of assessment criteria and feedback turnaround).
• Protect strengths by identifying categories with high sentiment and meaningful share (e.g., staff support and delivery elements) and ensuring practices there are documented and replicated.

Data at a glance (2018–2025)

• No category rows were provided in this extract, so top topics, sector comparisons, cluster shares, and sentiment splits cannot be displayed.
• How to read the numbers (when available). 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 to +100, then averaged at category level.

How Student Voice Analytics helps you

Student Voice Analytics turns free‑text survey responses into clear, prioritised actions by tracking topics and sentiment over time for every discipline and school. It supports whole‑institution views as well as fine‑grained department and programme analyses, with concise anonymised summaries for partners and programme teams.

Critically, 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 improvement against the right peer group. You can also segment by site/provider, cohort and year to target interventions precisely. Export‑ready outputs (web, deck, dashboard) make it straightforward to share priorities and progress across the institution.

How to use this data

This page presents sector-level student feedback analysis for English studies (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)

• Delivery of Teaching
• Assessment Methods
• Student Support
• Learning Resources
• Costs and Value for Money
• Strike Action
• Feedback
• Marking Criteria

Most-read posts in this subject area

• How do strikes affect students in English Studies?
• Do English Studies students get the learning resources they need?
• Do English Studies students understand how their work is marked?
• What should English studies fix first in feedback?
• What improves delivery of teaching in English studies?
• Is English studies good value for money?
• Should English studies change how it assesses students?
• Do English studies students get the support they need?

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?