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Early identification of struggling learners: using prematriculation and early academic performance data
INTRODUCTION: A perennial difficultly for remediation programmes in medical school is early identification of struggling learners so that resources and assistance can be applied as quickly as is practical. Our study investigated if early academic performance has predictive validity above and beyond...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bohn Stafleu van Loghum
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6820636/ https://www.ncbi.nlm.nih.gov/pubmed/31562635 http://dx.doi.org/10.1007/s40037-019-00539-2 |
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author | Bennion, Layne D. Torre, Dario Durning, Steven J. Mears, David Schreiber-Gregory, Deanna Servey, Jessica T Cruess, David F. Yoon, Michelle Dong, Ting |
author_facet | Bennion, Layne D. Torre, Dario Durning, Steven J. Mears, David Schreiber-Gregory, Deanna Servey, Jessica T Cruess, David F. Yoon, Michelle Dong, Ting |
author_sort | Bennion, Layne D. |
collection | PubMed |
description | INTRODUCTION: A perennial difficultly for remediation programmes in medical school is early identification of struggling learners so that resources and assistance can be applied as quickly as is practical. Our study investigated if early academic performance has predictive validity above and beyond pre-matriculation variables. METHODS: Using three cohorts of medical students, we used logistic regression modelling and negative binomial regression modelling to assess the strength of the relationships between measures of early academic performance and outcomes—later referral to the academic review and performance committee and total module score. RESULTS: We found performance on National Board of Medical Examiners (NBME) exams at approximately 5 months into the pre-clerkship curriculum was predictive of any referral as well as the total number of referrals to an academic review and performance committee during medical school (MS)1, MS2, MS3 and/or MS4 years. DISCUSSION: NBME exams early in the curriculum may be an additional tool for early identification of struggling learners. |
format | Online Article Text |
id | pubmed-6820636 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Bohn Stafleu van Loghum |
record_format | MEDLINE/PubMed |
spelling | pubmed-68206362019-11-06 Early identification of struggling learners: using prematriculation and early academic performance data Bennion, Layne D. Torre, Dario Durning, Steven J. Mears, David Schreiber-Gregory, Deanna Servey, Jessica T Cruess, David F. Yoon, Michelle Dong, Ting Perspect Med Educ Original Article INTRODUCTION: A perennial difficultly for remediation programmes in medical school is early identification of struggling learners so that resources and assistance can be applied as quickly as is practical. Our study investigated if early academic performance has predictive validity above and beyond pre-matriculation variables. METHODS: Using three cohorts of medical students, we used logistic regression modelling and negative binomial regression modelling to assess the strength of the relationships between measures of early academic performance and outcomes—later referral to the academic review and performance committee and total module score. RESULTS: We found performance on National Board of Medical Examiners (NBME) exams at approximately 5 months into the pre-clerkship curriculum was predictive of any referral as well as the total number of referrals to an academic review and performance committee during medical school (MS)1, MS2, MS3 and/or MS4 years. DISCUSSION: NBME exams early in the curriculum may be an additional tool for early identification of struggling learners. Bohn Stafleu van Loghum 2019-09-27 2019-10 /pmc/articles/PMC6820636/ /pubmed/31562635 http://dx.doi.org/10.1007/s40037-019-00539-2 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Article Bennion, Layne D. Torre, Dario Durning, Steven J. Mears, David Schreiber-Gregory, Deanna Servey, Jessica T Cruess, David F. Yoon, Michelle Dong, Ting Early identification of struggling learners: using prematriculation and early academic performance data |
title | Early identification of struggling learners: using prematriculation and early academic performance data |
title_full | Early identification of struggling learners: using prematriculation and early academic performance data |
title_fullStr | Early identification of struggling learners: using prematriculation and early academic performance data |
title_full_unstemmed | Early identification of struggling learners: using prematriculation and early academic performance data |
title_short | Early identification of struggling learners: using prematriculation and early academic performance data |
title_sort | early identification of struggling learners: using prematriculation and early academic performance data |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6820636/ https://www.ncbi.nlm.nih.gov/pubmed/31562635 http://dx.doi.org/10.1007/s40037-019-00539-2 |
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