Title: What can we learn from the Individualised Learner Record (ILR) within ECHILD?

Summary:
ECHILD now includes the Individualised Learner Record (ILR). The ILR is a mandatory, ongoing data collection system used by the UK government to track learners in publicly-funded Further Education (FE) and skills training. It acts as a digital record for funding, monitoring quality, and measuring success, essentially showing who is studying, what they are learning, and what outcomes they achieve. In this seminar, we will be hearing from experts who have used the ILR for their research. Dave Thomson, Claire Crawford and Chiara Cavaglia will give an overview of the ILR and its strengths and weaknesses, and give examples of how the data have been used in research projects. Attendees will be able to learn whether and how they might be able to use ILR within their own ECHILD research.

Presenters: 

Dave Thomson is a statistician with over 20 years experience working with National Pupil Database and associated administrative datasets related to education, particularly schools. He led the creation of the All-Education Dataset, the forerunner of the Longitudinal Educational Outcomes dataset which linked ILR to DWP/HMRC datasets on benefits, employment and earnings. Recent projects include mapping the post-16 choices of disadvantaged learners and an impact evaluation of Alternative Provision Specialist Taskforces.
Claire Crawford is Professor of Economics at the UCL Centre for Education Policy and Equalising Opportunities. She works in partnership with the Department for Education to support researchers to access and use effectively the Longitudinal Education Outcomes (LEO) data, which includes the ILR, and has undertaken a number of research projects using the data, including how the pathways individuals follow through education and into the labour market vary by experiences of persistent childhood disadvantage and special educational needs.
Chiara Cavaglia is a Research Economist at the Centre for Economic Performance at LSE, where she specialises in labour and education research. Over the past decade, her work has focused on vocational education and training. She is an experienced user of the ILR, working with the dataset both as a standalone source and as part of linked administrative products such as the Longitudinal Educational Outcomes (LEO) dataset.

A recording will be shared after the event