Student Voice Systems Limited
Student Voice Systems Limited offers a cloud-based platform dedicated to higher education, using machine learning to analyze and categorize student comments for actionable insights.
Company Overview
Student Voice Systems Limited is a cloud-based software platform dedicated entirely to higher education. Originating as a university spin-out, the platform emphasizes a philosophy of 'by higher education for higher education.' It specializes in the automatic classification and analysis of student comments using machine learning models.
AI-Driven Platform
Student Voice employs machine learning models to label thousands of comments in seconds. The models are trained on hundreds of thousands of hand-labeled student comments and are rigorously cross-validated to ensure accuracy. The platform captures nuances and details in student feedback, providing consistent and precise evaluations.
Sector Benchmarking and Demographic Analysis
The platform offers sector benchmarking, allowing institutions to compare label frequency and sentiment across the higher education sector. Additionally, it provides demographic analysis, enabling a deeper understanding of how student views differ by course, age, gender, nationality, and custom groupings.
Historical Survey Analysis
Student Voice enables historical analysis of survey responses from both live and legacy systems, facilitating trend comparisons over the years. Institutions can perform direct comparisons between various types of surveys, such as NSS, module evaluation, pulse, and student experience surveys.
University Partnerships and Projects
Student Voice has partnerships with several leading universities, including University College London, University of Plymouth, Newcastle University, and University of Edinburgh. The company has also been selected by AdvanceHE to analyze free text data from surveys covering over 100 UK higher education institutions. Moreover, it has been involved in a groundbreaking Jisc pilot program with four leading UK universities to evaluate the effectiveness of its AI service in analyzing student comments.