Written Evidence Submitted by
Mathematics Education for Social Mobility and Excellence (MESME)
(DIV0039)
About MESME
Mathematics Education for Social Mobility and Excellence (MESME) exists to support students from all backgrounds to achieve mathematical excellence, so that they go on to have a greater and richer range of future personal, employment and economic choices.
MESME’s target is that by 2035 there will be double the number of PhD students in the mathematical sciences at a UK university. We intend for this increase to include a representative proportion, at the minimum, of students from disadvantaged socio-economic backgrounds who went to school in the UK. Along the way MESME intends to enrich the mathematical experiences of everyone who participates in our programmes, enabling them to enjoy mathematics and identify as a mathematician.
In 2021 MESME began piloting Maths Circles across the country for secondary school students. Maths Circles aim to develop students’ mathematical thinking and expand their mathematical curiosity. They are out-of-class maths clubs featuring a ratio of six students to every mentor. Mentors have higher level academic experience in mathematical sciences and received extensive training. Mentors are there to support students to grapple with intriguing questions, discover and explore exciting ideas, and learn to think like mathematicians. In the 2021-22 academic year around 2,000 students will participate in this programme. Our goal is to grow this figure rapidly in the coming years, ensuring that, at minimum, there is a representative proportion of students from disadvantaged socio-economic backgrounds. Last term, 46% of participating students were classified as disadvantaged (indicated by qualifying for pupil premium), compared to c.30% of the overall state school population.
Our reasons for submitting evidence to this inquiry are that:
Summary
MESME’s focus is to rebalance the proportion of those from disadvantaged socio-economic groups studying mathematical sciences at postgraduate level, and as such we have sought to understand the pipeline of progression in mathematics from school through to postgraduate degree.
We know that in 2019, just 7% of all students taking A-level Further Mathematics were classified as disadvantaged[2], as opposed to 12% of all A-level students[3] and c.30% of the state school population as a whole. The majority of those going on to study a degree in mathematical sciences have taken A-level Further Maths[4], so this is a key early indicator of how many disadvantaged students will go on to study mathematical sciences at university.
It is much harder to find a national picture on the number of socio-economically disadvantaged students studying mathematical sciences at university, although some universities do make this data public. The University of Oxford publishes data on students who apply and are admitted with an ‘ACORN flag’. ACORN categorises the United Kingdom’s population into demographic types. The ACORN flag means a student sits in category 4 or category 5 of this measure which are defined as ‘financially stretched’ or face ‘urban adversity’. These categories make up 40% of the UK population. In 2018, Oxford only admitted 10 of these students for Maths – just 6% of the student body, and the picture is similar for other STEM subjects[5]. These numbers have remained flat historically, despite a large increase in the number of applicants from these backgrounds. Our understanding is that there is a similar picture at other leading universities.
Once at university, students from more disadvantaged backgrounds are more likely to drop out of university[6], and less likely to obtain higher degrees[7], although national data is not available at the subject level.
It’s clear that at every stage of the mathematics progression pipeline, students from socio-economically disadvantaged groups are less likely to proceed than their more advantaged peers. However, data on this topic is patchy. Our partners at XTX Markets have commissioned research by the University of Nottingham to better understand this pipeline, and we look forward to learning from this research later in 2022.
Attainment
The gap in attainment between socio-economically disadvantaged pupils in maths (and other subjects) begins at the earliest stage in our education system:
Lower levels of attainment, especially in the proportion of students reaching the highest grades, impacts students’ progression onto higher level study. Closing the gap in attainment has been a long-term policy aim, which had been bearing results in some areas. Unfortunately, evidence suggests that the pandemic has further widened the gap between disadvantaged pupils and their peers, with the effects being most pronounced in mathematics[10].
Adjusting to university-style learning
There is a large gap between the way mathematics is taught and assessed at school and university. GCSE and A-level mathematics is often process-focussed, with clearly defined right and wrong answers. University mathematics requires a different mindset. Bridging this gap is hard for all pupils, but especially difficult for socio-economically disadvantaged pupils who are likely to have:
We think it likely that these factors contribute to the higher dropout rates and lower degree classifications received by socio-economically disadvantaged students.
Timeliness and coverage of access interventions
Individual universities control the bulk of the spending being directed at widening access and participation and supporting disadvantaged students, currently spending £1 billion a year[12].
Research from UCAS[13] indicates that having university as a goal from age ten or earlier makes a significant contribution to future success, and those from disadvantaged backgrounds are the most likely to have adopted that goal much later in their education.
However, much of the advice and support provided to students is targeted at those aged 16-18 years, and schools do not always find it easy to engage with universities on their access efforts.
In addition, the fact that individual universities direct this spending means that provision can vary across geography and subjects.
We believe there is potential to design a more evidence based, joined up approach to more effectively use widening participation resources. MESME’s Maths Circles programme aims to address these issues, and the impact of this programme will be maximised if part of a broader effort to support mathematical and STEM excellence.
People with PhDs in mathematical sciences have shown their capacity for original thought and for solving difficult, abstract problems at the edge of human knowledge, and are in high demand in the employment market. It is currently extremely challenging to recruit people from the UK with these skills. To meet this growing demand, we need to broaden the type of people undertaking these advanced degrees by nurturing the talents of people from under-represented groups.
More broadly, mathematical sciences are the foundation of many of the key technologies driving the development of our economy and society. We need to ensure that these technologies are developed by people with a range of backgrounds and life experiences in order to avoid building in systematic biases.
What has been done to address underrepresentation of particular groups in STEM roles
MESME has sought inspiration internationally to find new ways to address the challenge that students from disadvantaged socio-economic backgrounds perform less well in school mathematics qualifications, and progress to high-tariff universities at substantially lower rates. We have encountered programmes of maths circles in both Russia and America that bring young people together to be mathematicians. Our mission is to build a version of these circles that will work in the UK, and to run these circles at scale across the country.
MESME’s Maths Circles programme for secondary schools aims to develop students’ mathematical thinking and expand their mathematical curiosity. Maths Circles are out-of-class maths clubs featuring a ratio of at least one mentor for every six students.
They are targeted at the top performing c.10% of students in mathematics, and we focus on recruiting students who are socio-economically disadvantaged. Last term, 46% of participating students were classified as disadvantaged (indicated by qualifying for pupil premium), compared to c.30% of the overall state school population. In the 2021-22 academic year around 2,000 students will participate in this programme, and we intend to grow this figure rapidly in the coming years.
Students join the programme in Year 7 and take part in ten one-hour sessions each school term, 30 in a full academic year. The programme will run through to Year 11.
Our Maths Circles feature a coherent, connected curriculum and unique pedagogy that draws from the experiences of their international siblings. In Maths Circle sessions, students grapple with, and sometimes (but not always!) solve, intriguing questions. It is an enrichment, not an acceleration, programme, so the aim is not to teach more advanced content. There is a focus on deep, sustained mathematical thinking as well as on the rich exchange of ideas between participants and mentors - whose primary role is to support students to develop and express mathematical ideas with confidence.
The intended outcomes of the programme are that students can:
Feedback from our feasibility study indicates we are on track - 93% of students said they felt able to articulate themselves in the sessions, 96% said they felt open to making mistakes, and 94% students said the sessions were fun. Students shared that:
"They are great as they give me an extra challenge when I am not challenged as much at school."
“In school lessons we have to find the answer but in the maths circle we have to try and figure out HOW we get the answer.”
“The challenges are a great way to debate with mathematicians as we all collectively put our ideas forward.”
The programme is designed to address the challenges outlined in our response to question (2):
Over time, we expect to see an increase in the numbers of these students attaining top grades at GCSE and in A-level Further Mathematics, as well as progressing to leading universities to study degrees in the mathematical sciences, and feeling confident and achieving well once they arrive at university.
The Augar Review of Post-18 Education and Funding[14] noted “… with surprise the absence of any over-arching assessment of the impact of different approaches to widening participation and success […] despite the substantial investment of resources.”
We agree that this is a key area of weakness, and propose ways of improving consistent evaluation and increasing accountability for the effectiveness of widening participation efforts.
Understanding what works
We welcome the establishment of The Centre for Transforming Access and Student Outcomes in Higher Education (TASO) to develop the evidence base. This is one of the newer What Works Centres, and it is clear that the evidence base on access and outcomes in higher education is significantly less developed than in other sectors.
We would like to see funding directed to commissioning research and evaluation in this area, in particular to understand:
We would also like to see the development of a holistic, evidence based, sector wide consensus on:
Consistency of and access to data
At primary, secondary and post-16 level there is a large amount of data publicly available through services such as the Explore Education Statistics Service, which allows quite detailed interrogation. Both HESA and the Office for Students publish data on higher education, however this data is summarised. We would like to see higher education data made available in formats which enable the same level of scrutiny as is possible with school data.
When looking specifically at socio-economic disadvantage, there are several measures used by higher education institutions to define which students are classed as ‘disadvantaged’. These measures are different again to the definition used in the school data. The variety of definitions make meaningful comparison difficult.
Research can be undertaken on the impact of programmes on individual students using the National Pupil Database (for students up to age 18), UCAS Strobe (for university application data) and using HESA data. However, as we understand it, it is not currently possible to connect NPD and HESA data sources together in order to understand progression from school to university. We believe this is one of the key reasons that evaluations of access programmes only look at gaining a place at university, rather than what happens once they are at university. This lack of data risks incentivising the creation of access programmes which get students places at university but do not give them the skills to succeed once they are there.
Addressing these issues would allow:
Accountability
Universities who wish to charge higher tuition fees must submit an Access and Participation plan for approval by the Office for Students. Approved plans are published on the Office for Students’ website. Whilst it is positive that this information is made public, the large number of these plans (almost 300 institutions each with annual plans going back as far as 2006) makes understanding the bigger picture of the activity and impact of access and participation efforts an almost impossible task.
We would like to see the development of simple accountability measures which would allow comparison of university performance on access and participation, including enabling analysis by subject and sub-groups of students.
The Sutton Trust have developed a Universities and Social Mobility Data Explorer which is a fascinating tool and a great example of what is possible. The drawback of this tool’s specific design is that is uses data on earnings of people in their 30s, so there is a large time lag before the data is available. More suitable and timely data points on access and participation could be used to create a similar tool which would enable far easier identification of areas of excellent and poor performance.
PhD pathways
Over and above the above comments on higher education in general, there is a specific need to better understand PhD numbers, funding and pathways to ensure that these opportunities are more available to those from socio-economically disadvantaged backgrounds.
(January 2022)
[1] Source: https://www.iop.org/sites/default/files/2020-08/Mind-the-Gap-report.pdf
[2] Source: https://explore-education-statistics.service.gov.uk/data-tables/permalink/37257ab0-4c21-4aec-b7ae-6f908b113e69
[3] Source: https://explore-education-statistics.service.gov.uk/data-tables/permalink/cce21cf8-b07d-46a2-803d-d2dad278b51a
[4] Source: https://ima.org.uk/4900/transition-stem-degrees-maths-level/
[5] Source: University of Oxford Undergraduate Admissions Statistics; https://acorn.caci.co.uk/downloads/Acorn-User-guide.pdf
[6] Source: https://www.officeforstudents.org.uk/data-and-analysis/continuation-and-transfer-rates/
[7] Source: https://www.officeforstudents.org.uk/data-and-analysis/differences-in-student-outcomes/educational-disadvantage/
[8] Source: https://www.gov.uk/government/statistics/national-curriculum-assessments-key-stage-2-2019-revised
[9] Source: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/863939/2019_KS4_revised_national_characteristics_tables.xlsx
[10] Source: https://educationendowmentfoundation.org.uk/guidance-for-teachers/covid-19-resources/best-evidence-on-impact-of-covid-19-on-pupil-attainment
[11] Source: https://journals.sagepub.com/doi/full/10.1177/1948550619882032
[12] Source: Independent panel report to the Review of Post-18 Education and Funding https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/805127/Review_of_post_18_education_and_funding.pdf
[13] Source: https://www.ucas.com/file/70776/download?token=Y0R-kzLM
[14] Source: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/805127/Review_of_post_18_education_and_funding.pdf