Exploring Adult Community Learning engagement and outcome rates to inform service delivery: mixed-methods action research in a local authority setting

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Jack Lawton-Summers
Akeel Ahmed

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06-May-26

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Economic inclusion

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Background In line with OFSTED guidance, Islington's adult community learning team is committed to creating an inclusive learning culture where opportunities and experiences are enhanced for all residents, regardless of additional needs or background. To achieve this, the team wants to take an evidence-based approach to supporting different groups. Objectives The main objective of the research is to address unequal access and learning outcomes by: 1. identifying groups of learners that need support and 2. developing strategies to improve outcomes in collaboration with frontline staff and learners themselves. Methods We adopt a mixed-methods approach. Descriptive analysis of service data was used to explore differential engagement rates and to understand how achievement rates varied amongst groups. Based on these findings, focus groups will be convened to explore how learners with different profiles could successfully be engaged and supported to achieve positive outcomes. Recommendations will be developed in collaboration with delivery staff based on this work and will be trialled in the summer term 2026 as part of a test and learn cycle. Final recommendations will be developed and implemented in September 2026. Results The quantitative data showed that men engage with learning opportunities at lower rates than women – approximately 75% of the cohort are female. There was also evidence that men, and in particular men with learning language disabilities, achieved positive outcomes at lower rates than women in certain courses. Maths courses stood out due to consistent achievement rates across all groups of learners. These insights will be used to guide focus groups where we will explore how learners from different groups have been successfully supported – insights from these activities and corresponding interventions will be ready to share at the conference in May. Discussion/learning for wider community Our research is an example of utilising service data to facilitate a test and learn cycle that will help align service delivery with strategic goals. We have shown that reorganising datasets can reveal insights about service users that can be used by delivery teams. The work also emphasises the value of targeted public engagement when planning changes to delivery.

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