Newcastle University partners with Student Voice AI
Updated Mar 06, 2026
Newcastle University, a Russell Group institution with over 27,500 students from more than 130 countries, has selected Student Voice AI to analyse open‑text student comments across the institution. The text‑analytics platform turns unstructured comments into structured reporting for programme and faculty teams (see [how to evaluate text analysis software for education](/resources/best-text-analysis-software-for-education/) for practical criteria).
Student Voice AI uses machine‑learning models to classify and analyse student comments, giving Newcastle University structured, timely reporting on the student experience (for a research example, see machine-learning analysis of mid-semester teaching evaluations).
Using these models, Newcastle University can benchmark its student experience against more than 100 UK higher education institutions. The platform also shows how student perspectives vary by course, age, gender, nationality, and campus location.
Newcastle University can also analyse historical survey data from active and legacy systems, identifying and comparing trends over time.
"We're looking forward to working with Newcastle University. Our platform enables comparison of data across different surveys, offering a detailed view of student feedback that will be instrumental for the university. We're confident this partnership will support Newcastle University's ongoing efforts to enhance student experiences through data-informed decisions."
Dr Stuart Grey, Founder and CEO, Student Voice AI
About Newcastle University:
Newcastle University is a public research university located in Newcastle upon Tyne in the North East of England. Committed to teaching excellence and research-led learning, it is home to over 27,500 students from more than 130 countries.
About Student Voice AI:
Student Voice AI is a UK provider of text‑analytics for education. Its machine‑learning models are trained exclusively on UK higher‑education data and run on controlled infrastructure. Together, they analyse open‑text student comments to provide a consistent, comprehensive view of the student experience. Institutions use these insights to inform teaching, learning and quality enhancement, while supporting UK GDPR requirements and the original purpose for which survey data was collected (see our student comment analysis governance checklist for data protection and audit trail considerations).
Contact
Dr Stuart Grey
Founder and CEO
stuart@studentvoice.ai
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- Student comment analysis governance checklist for UK HE