Dissertation supervision plays a critical role in shaping student experience, yet its quality often varies (Roberts and Seaman, 2018). This paper presents a student-centred framework for approaching undergraduate dissertation supervision that combines collaborative and reflective practice, to ensure consistency and quality in students’ experiences of dissertation supervision. Within Manchester Metropolitan’s Q-Step Centre in the UK, Sociology and Criminology final year undergraduates complete a dissertation grounded in quantitative analysis of real-world data. As module leaders, the presenters co-created (with staff and students) minimum expectations for supervisors and learners and used coaching and reflective tools to facilitate and mediate the student-supervisor relationship throughout the academic year. This structured, supportive approach aimed to foster open dialogue and mutual accountability, providing a more consistent and professional supervision experience. It also empowered students to take ownership of their dissertations, building confidence, resilience and problem-solving skills, all key employability attributes. Drawing on Bandura’s (1986) social learning theory and Wenger’s (1998) concept of communities of practice, this approach sought to improve the student experience and reduce inequalities in cultural and employability capital by providing access to professional networks and critically discussing academic norms to build confidence navigating higher education (Bourdieu, 1986; Tomlinson, 2017). Set against the UK context of rising tuition fees, the commodification of higher education, demanding academic schedules and an increasingly competitive graduate employment market, we present our pedagogic principles and leadership strategies with evidence of effective supervision and an excellent student experience.
Dr Simon Massey is Associate Head of Sociology and Director of the Q-Step Centre at Manchester Metropolitan University. He leads initiatives to enhance quantitative skills in social science education, delivering innovative teaching, authentic assessment and external placements. Simon’s research explores attitudes toward education, particularly mathematics and statistics anxiety, and he champions playful, inclusive pedagogies to make data analysis accessible. A Senior Fellow of the Higher Education Academy, he is committed to bridging theory and practice through applied social science.
Dr Joanna Wilson is a Lecturer in Sociology (Quantitative Methods) at Manchester Metropolitan University and a key member of the Q-Step team. She teaches quantitative data analysis and leads the Q-Step in the Community programme, which connects students with external organisations for real-world data placements. Joanna’s research focuses on work and inequality across the life course, with particular attention to gender, parenthood, and disability. She employs both quantitative and qualitative methods to explore issues such as the use of flexible working arrangements and divisions of paid and unpaid work within working couples. Committed to applied social research, Joanna helps students develop practical data skills to address societal challenges.