The 5Rs approach aims to enhance the support that teachers give to 16 – 19 year-old students resitting GCSE Maths in order to improve their attainment. The programme includes three teacher training days, short diagnostic tests, a scheme of work including lesson plans and a defined lesson structure, and access to online resources for teachers and students. Each 5Rs lesson is structured into five sections: Recall (recalling key Maths facts), Routine (completing practice questions), Revise (revising one specific topic), Repeat (practising exam questions) and Ready (focusing on exam technique).
As part of the Department for Education’s Accelerator Fund, the EEF is commissioning a number of efficacy trials of programmes that show promise for increasing pupil attainment. These trials will take place in the Research School Commissioner regions of the North, East Midlands & Humber, West Midlands. 5Rs will also be recruiting settings in the rest of England.
Pass rates for students re-sitting GCSE Maths are extremely low, and the post-16 sector requires evidence about what works for these students. Just 40% of young people eligible for Free School Meals achieve passes in GCSE Maths and English, compared with 68% of their better-off peers. The underlying principles of the programme, including interleaving, practice testing and distributed practice, are grounded in previous research. The programme also uses established methods, like new representations, to differentiate the revision year from the previous GCSE experience of students.
This efficacy trial will be led by a team from York Trials Unit, will be a two-arm randomised controlled trial, randomised at the school-level. The aim of the evaluation will be to assess the impact of the 5Rs programme on GCSE Maths outcomes for students re-sitting their exams. An implementation and process evaluation will be conducted alongside the impact evaluation to explore how schools implement the programme and stakeholder perceptions of 5Rs.
The evaluation report will be published in Autumn 2023.