Within a UK higher education context, the Student Voice is imperative. UK Higher Education Institutions (HEIs) are assessed and rated via the Teaching Excellence Framework (TEF), and students are encouraged to use TEF ratings – which provide a clear signal of a provider's excellence. Institutions submit a range of data and evidence to support their TEF assessment. This typically includes data on student satisfaction, student retention rates, graduate employment outcomes, and other relevant information. The TEF metrics focus on quantitative data and can provide us with a picture of the ‘what’ – for example, ‘what is the satisfaction rate of students?’ but it does not tell us the why. Collection and analysis of qualitative student feedback can provide the ‘why’ behind the numbers and provide guidance on understanding the Student Voice and how to make decisions that are led with improvements and the Student Voice in mind. With the increasing importance of enhancing the student experience and fostering continuous improvement in higher education, the University of Westminster has employed AI technology to analyze and interpret the multifaceted feedback and sentiments expressed by students.
This presentation highlights the power of AI in understanding the Student Voice, and our aims to drive positive change for student experience and student outcomes.
For reference, this session will repeat some elements of my talk at the HESPA conference earlier this year. Specific areas that I will cover include:
Speaker:
Kirsty Bryant, Senior Institutional Research Analyst, University of Westminster
Tagged :
Type : Meeting
Please contact info@hespa.ac.uk for more information
