Untangling feedback: Mapping the patterns behind the practice

Although feedback is widely recognized as essential to improving performance and learning outcomes, what feedback involves and what it achieves can vary significantly according to researchers and practitioners. This variability reflects the lack of a shared conceptual framework to unite feedback practices, theories, findings and recommendations. In this paper, the authors use a recently developed pattern system to compare different models of feedback as a way of building a more united perspective. The authors conducted a comparative case study and framework analysis of 11 feedback models across four categories of feedback (augmented sensorimotor feedback, coaching, audit and feedback and multisource feedback). Each model was analysed to identify which aspects of feedback it addressed, and which were overlooked or excluded. The analysis revealed both divergence and convergence in how feedback models mapped onto the pattern system. Divergence was evident in the variability of elements (pattern representations) across models and diversity in expression and granularity of those elements. Conversely, convergence was observed in recurring clusters of elements, such as Performance measurement, Sensor, Judgement and Assessment, which appeared consistently across categories. Overall, the mapping exercise showed significant variations in how feedback is conceptualized, even within specific subcategories such as "coaching," "audit and feedback" and "multisource feedback." These differences have important implications for advancing research and practice in these areas. Pattern theory and pattern mapping offer a promising framework for exploring and addressing the conceptually contested nature of feedback in medical education and may facilitate the future development of a pattern language of feedback.

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Institutions

Publication Details

Journal
Medical Education
Published
2025-04-07
DOI
https://doi.org/10.1111/medu.15706
Citations
2
Primary Topic
Student Assessment and Feedback
Type
article
Field-Weighted Citation Impact
17.85

Funders

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article

Untangling feedback: Mapping the patterns behind the practice

Irene Ma, Lara Cooke, Catherine Patocka, Rachel Ellaway
2 citations
Medical Education
Student Assessment and Feedback
17.85
article

Untangling feedback: Mapping the patterns behind the practice

Irene Ma, Lara Cooke, Catherine Patocka, Rachel Ellaway
article en
2 citations

Abstract

Although feedback is widely recognized as essential to improving performance and learning outcomes, what feedback involves and what it achieves can vary significantly according to researchers and practitioners. This variability reflects the lack of a shared conceptual framework to unite feedback practices, theories, findings and recommendations. In this paper, the authors use a recently developed pattern system to compare different models of feedback as a way of building a more united perspective. The authors conducted a comparative case study and framework analysis of 11 feedback models across four categories of feedback (augmented sensorimotor feedback, coaching, audit and feedback and multisource feedback). Each model was analysed to identify which aspects of feedback it addressed, and which were overlooked or excluded. The analysis revealed both divergence and convergence in how feedback models mapped onto the pattern system. Divergence was evident in the variability of elements (pattern representations) across models and diversity in expression and granularity of those elements. Conversely, convergence was observed in recurring clusters of elements, such as Performance measurement, Sensor, Judgement and Assessment, which appeared consistently across categories. Overall, the mapping exercise showed significant variations in how feedback is conceptualized, even within specific subcategories such as "coaching," "audit and feedback" and "multisource feedback." These differences have important implications for advancing research and practice in these areas. Pattern theory and pattern mapping offer a promising framework for exploring and addressing the conceptually contested nature of feedback in medical education and may facilitate the future development of a pattern language of feedback.

Medical EducationVol. 59(11)
University of Calgary (CA)
Royal College of Physicians and Surgeons of Canada, Canadian Institutes of Health Research
Quality Education
Openalex Percentile: Top 2%
Student Assessment and Feedback
17.85
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