Case Study: Liverpool John Moores University improves student feedback analysis with Explorance MLY

AI-powered Student Voice Analysis for NSS and Module Evaluation at Liverpool John Moores University

Liverpool John Moores University, with more than 25,000 students in Liverpool, UK, had been using generic text-mining software for over 10 years to analyze open-text comments from student surveys. The process depended heavily on one researcher, lacked dynamic learning, and required extensive manual thematic analysis because the model was not trained on student feedback.

To improve this work, Liverpool John Moores University implemented Explorance MLY for AI-powered student voice analysis across NSS and module evaluation feedback. Explorance MLY provided alerts, demographic filtering, recommendations, and project sharing, helping the university process very large volumes of comments more quickly; it generated initial insights from over 38,000 comments for module evaluation in a few minutes. The university said the platform was far less time-consuming and resource intensive, and that it improved understanding of student needs and supported faster, real-time analysis without lengthy manual processing.

Liverpool John Moores University

Fenna Boerkamp

Institutional Research and Evaluation Officer