Jenny Griffiths portrait

Written by Jenny Griffiths

Jenny is Teach First’s Research and Knowledge Manager. She is an expert in research related to teacher development and educational inequality, with a particular interest in understanding teacher retention. Prior to working at Teach First, Jenny achieved a BA (Hons) and MPhil from the University of Cambridge, and an MSc from Birkbeck, University of London. She taught History and Sociology and was a Head of Department in London schools for nearly a decade.

The proportion of postgraduate trainees reporting their ethnic group as belonging to an ethnic minority, has increased from 14% in 2015/16 to 22% in 2022/23 (UK Government, 2023). This is similar to the diversity of the working age population (21.8%) (UK Government, 2023). However, research by the National Foundation for Educational Research (NFER) shows that 60% of schools in England have no teachers from ethnic backgrounds other than white, and pupils – 35.7% of whom are from a minority ethnic background – are less likely to encounter teachers from black, mixed or other ethnic backgrounds (NFER, 2022). In fact, a significant number of the pupils in of schools will have no experience of a Black teacher throughout their time in school (Tereshchenko, Mills & Bradbury, 2020). We believe that this lack of representation, particularly in STEM (science, technology, engineering, maths) subjects, may make it harder for young Black pupils to engage with these subjects and pursue related careers.  

Over the past 20 years Teach First have screened approximately 120,000 applications and assessed over 50,000 candidates for a place on our training programme. We are committed to increasing diversity in the teaching workforce and we’ve learnt a lot about how to root out bias in our application and assessment process, but we are committed to continuing to learn and improve. 

As part of that work, along with Ambition Institute, we supported the NFER to carry out research looking at racial equality in the teacher workforce. This research showed that the most significant ethnic disparities are seen at the early stages of teacher’s careers, starting with ethnic minority people being over-represented among teaching applicants, but having a lower acceptance rate compared to other groups. We are pleased that Teach First are the only ITT provider where an ethnic minority group, those of mixed ethnicity backgrounds, has the highest acceptance rates. We also have less disparity in acceptance rates between ethnic groups than other providers, but we are continuing to work to reduce this gap still further (NFER, 2022). 

Our recruitment strategy is designed to identify potential and reduce the risk of bias in our decisions, first by removing personal details in applications. The most significant change however was the introduction of contextual recruitment at the application stage. This allows us to take greater account of the different backgrounds of applicants in order to attempt to offset the impact of socioeconomic disadvantage. Applicants complete a short survey about the type of school they attended, whether they were eligible for free school meals, socioeconomic background and any significant disruption such as time in care, refugee status, or being a young carer. Whilst applicants must demonstrate clear evidence of our competencies, this screening helps us to understand where grades that are lower than our traditional entry level requirements are not necessarily reflective of potential. This approach has led to a 15% increase in offers to join the training programme overall and Black, Asian and Ethnic minority representation increase from 12% in 2017, to 18% in 2018 (after the introduction of contextual recruitment), and to 22% in 2019 with changes to our selection day processes. 

This improvement notwithstanding, we know there remain particular challenges in attracting Black and other underrepresented groups into teaching, especially in STEM subjects. To address this we are working in partnership with Mission 44 to recruit and train Black STEM teachers to work in schools serving disadvantaged communities in England. Our initial research specifically looked at how to attract more STEM graduates from Black and mixed Black ethnic backgrounds into the teaching profession. Motivation to enter teaching varies individually, but also differs between social groups. A discrete choice experiment enabled us to test elements of our programme where we felt changes might have the biggest impact on recruitment. 

What we found was that Black and mixed Black STEM graduates saw salary as being of high importance. We also found that location mattered: respondents indicated a clear preference for a guaranteed placement in London or within 60 minutes of their home address. Perhaps more interesting in terms of understanding changing work and lifestyle priorities, was the interest in lifestyle benefits, such as restaurant or gym discounts, as being likely to motivate more graduates to apply. Focus groups elaborated on some of these responses, indicating the importance of financial and societal pressures in decision making. In teaching where starting salaries are perceived to be relatively low, the importance of career progression was clear. Another finding central to our understanding and future work, was the concern of Black graduates about the level of diversity and inclusion in the schools where they would be working. There was a wariness of being in a school with an exclusively White teaching workforce, and despite clear desire to be a positive role model, these concerns posed a perceived risk to their wellbeing which needs to be addressed if we want to address ethnic inequalities in the teacher workforce in a sustainable manner. 

You can download our report on this work to read the findings from the research in full and the recommendations proposed. 

Despite some gains, we know that disparity remains and we remain committed to reviewing, re-evaluating and improving our practices to support diversity and inclusion in our education system, for teachers, schools and pupils.