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

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Abstract 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.
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Understanding Mechanisms of Learning: A Realist Evaluation of the MRes Research Methods Module | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Understanding Mechanisms of Learning: A Realist Evaluation of the MRes Research Methods Module Raleigh Mangsat This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8694854/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract 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. Educational Philosophy and Theory Teaching-Research Nexus Realist Evaluation Research Methods Supervisory Support Context-Mechanism-Outcome Higher Education Student Learning Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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