Learner-centered education: ICU residents' expectations of teaching style and supervision level.
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BORIS DOI
Date of Publication
July 31, 2021
Publication Type
Article
Division/Institute
Contributor
Klasen, Jennifer M. |
Subject(s)
Series
BMC medical education
ISSN or ISBN (if monograph)
1472-6920
Publisher
BioMed Central
Language
English
Publisher DOI
PubMed ID
34330260
Uncontrolled Keywords
Description
BACKGROUND
If the education of intensive care unit (ICU) residents focuses on individual learning behavior, the faculty's style of teaching and level of supervision need to be adapted accordingly. The aim of this study was to delineate the associations between residents' perceived learning behavior, experience, and demographics and their expectations with regard to teaching style and supervision levels.
METHODS
This multicenter survey obtained data on ICU residents' base specialty, duration of ICU training, individual postgraduate year, gender, and number of repetitions of ICU skills. Using 4-point Likert scales, residents assessed perceived learning behavior, expected teaching style, and supervision level for respective skills. Multivariate regression analysis was used to evaluate associations between assessed variables.
RESULTS
Among 109 residents of four interdisciplinary ICUs, 63 (58%) participated in the survey and 95% (60/63) questionnaires were completed. The residents' perceived learning behavior was associated with number of skill repetitions (p < 0.0001), internal medicine as base specialty (p = 0.02), and skill type (p < 0.0001). Their expected teaching style was associated with learning behavior (p < 0.0001) and skill type (p < 0.0001). Their expected supervision level was associated with skill repetitions (p < 0.0001) and skill type (p < 0.0001).
CONCLUSION
For effective learner-centered education, it appears useful to recognize how the residents' learning behavior is affected by the number of skill repetitions and the skill type. Hence, faculty may wish to take into account the residents' learning behavior, driven mainly by skill complexity and the number of skill repetitions, to deliver the appropriate teaching style and supervision level.
If the education of intensive care unit (ICU) residents focuses on individual learning behavior, the faculty's style of teaching and level of supervision need to be adapted accordingly. The aim of this study was to delineate the associations between residents' perceived learning behavior, experience, and demographics and their expectations with regard to teaching style and supervision levels.
METHODS
This multicenter survey obtained data on ICU residents' base specialty, duration of ICU training, individual postgraduate year, gender, and number of repetitions of ICU skills. Using 4-point Likert scales, residents assessed perceived learning behavior, expected teaching style, and supervision level for respective skills. Multivariate regression analysis was used to evaluate associations between assessed variables.
RESULTS
Among 109 residents of four interdisciplinary ICUs, 63 (58%) participated in the survey and 95% (60/63) questionnaires were completed. The residents' perceived learning behavior was associated with number of skill repetitions (p < 0.0001), internal medicine as base specialty (p = 0.02), and skill type (p < 0.0001). Their expected teaching style was associated with learning behavior (p < 0.0001) and skill type (p < 0.0001). Their expected supervision level was associated with skill repetitions (p < 0.0001) and skill type (p < 0.0001).
CONCLUSION
For effective learner-centered education, it appears useful to recognize how the residents' learning behavior is affected by the number of skill repetitions and the skill type. Hence, faculty may wish to take into account the residents' learning behavior, driven mainly by skill complexity and the number of skill repetitions, to deliver the appropriate teaching style and supervision level.
File(s)
File | File Type | Format | Size | License | Publisher/Copright statement | Content | |
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2021_-_Zante_-_BMC_Medical_Education_-_PMID_34330260.pdf | Adobe PDF | 573.79 KB | Attribution (CC BY 4.0) | published |