Understanding Mechanisms of Learning: A Realist Evaluation of the MRes Research Methods Module

Aims/Purpose : This study conducted a realist evaluation of an MRes Research Module to identify what mechanisms enable or hinder learning, for whom, and in what contexts. Background : Research methods training is a cornerstone of postgraduate education. It is designed to support students in independent research. However, while research methods training is vital in postgraduate education, its effectiveness varies, and there is a need to understand the causal links between teaching strategies and student outcomes. Methodology : A qualitative, realist evaluation approach was employed in the study, analysing postgraduate student experiences through the Context-Mechanism-Outcome (CMO) framework to explain how and why specific strategies succeeded or failed. Results : Workshops, authentic assessments and field-specific supervision were effective mechanisms for learning. However, generic materials and inconsistent support hindered progress, particularly for postgraduate students in computational or dry-lab disciplines, leading to uneven outcomes. Contribution : This study proposes the ‘Adaptive Nexus Model for Postgraduate Training’ to resolve the inequities of ‘one-size-fits-all’ module designs. This model provides context-sensitive recommendations for developing more equitable and effective postgraduate training, such as creating field-specific learning pathways to support diverse student cohorts better and ensuring that all master's students are equipped for success.