Triangle

Major longitudinal cohort studies

The Observatory for Mathematical Education is running the largest ever set of longitudinal studies of mathematics students in England involving tens of thousands of children and young people. 

Over a period of 7 years, we are tracking students’ attitudes to mathematics every year:

  • in primary schools: starting with reception year in 2024/5 and finishing with year 6 in 2030/31.
  • in secondary schools: starting with year 7 in 2024/5 and finishing with year 11 in 2028/29, and beyond into post-16 education (e.g. A level) until 2030/31 for those who continue with mathematics.
  • in colleges and universities: tracking multiple cohorts through A level, undergraduate and postgraduate maths courses.

The aim of the cohort studies is to understand how learner outcomes are shaped by learner attitudes to mathematics and how both are shaped by factors at individual, family, classroom, institution and national levels.

What gives students confidence and enjoyment in mathematics?  What motivates them to learn and participate in mathematics?

We might hypothesise that a learner’s attitude to mathematics is the combined effect of their own personality, the perspectives of their family and friends, the skill of their teachers, the curriculum, the learning resources available, how they are assessed, who they learn with, extra-curricular opportunities and many other factors.  These things, in turn, are influenced by policies and funding at national and institution level.  Understanding the complex web of connections between these factors is the goal of the cohort studies.

As well as the surveys of students, we will also be surveying parents and teachers to get their perspective on the importance and learning of mathematics.  In addition, our team of researchers will be visiting dozens of schools, colleges and universities to observe the different contexts in which students learn.  Where the trend analysis will give us national patterns of progression, attainment and participation by sex, socio-economic status, ethnicity and region, the cohort studies will help explain why those patterns occur.