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Micro-Feedback Training: Learning the art of effective feedback
Author(s) -
Najma Baseer,
Usman Mahboob,
James Degnan
Publication year - 2017
Publication title -
pakistan journal of medical sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.316
H-Index - 30
eISSN - 1682-024X
pISSN - 1681-715X
DOI - 10.12669/pjms.336.13721
Subject(s) - microteaching , schema (genetic algorithms) , medical education , medicine , peer feedback , mathematics education , computer science , teaching method , psychology , machine learning
Multiple attributes are expected of postgraduate research supervisors. Provision of timely and effective face-to-face feedback is one such skill that carries enormous significance in supervisee's professional development. Feedback allows the supervisees to improve upon their performances. Unfortunately, both supervisors and supervisees have contrasting approaches towards the ongoing feedback practices. This incongruence is attributed, in part, to a lack of structured pedagogic training among the medical professionals. A standardized schema is therefore required to acquire and harmonize this pedagogical skill. One such systemized way is a training method called microteaching. Microteaching has long been used to enhance and incorporate old and new undergraduate teaching skills, respectively. Here we propose a similar structured approach of micro-feedback to inculcate effective feedback skills among postgraduate research supervisors using feedback-based scenarios, simulated students, standardized checklists and audiovisual aids. Thus, micro-feedback exercise may prove to be quite promising in improving feedback practices of postgraduate research supervisors.

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