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Putting post-decision wagering to the test: a measure of self-perceived knowledge in basic sciences?

INTRODUCTION: Students learn more effectively when they know what they do not know. Gaining insight into students’ metacognitive awareness is needed as misalignment between actual and self-perceived knowledge impedes their learning process. The optimal method of measuring self-perceived knowledge is...

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Autores principales: Versteeg, Marjolein, Steendijk, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bohn Stafleu van Loghum 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6382616/
https://www.ncbi.nlm.nih.gov/pubmed/30721399
http://dx.doi.org/10.1007/s40037-019-0495-4
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author Versteeg, Marjolein
Steendijk, Paul
author_facet Versteeg, Marjolein
Steendijk, Paul
author_sort Versteeg, Marjolein
collection PubMed
description INTRODUCTION: Students learn more effectively when they know what they do not know. Gaining insight into students’ metacognitive awareness is needed as misalignment between actual and self-perceived knowledge impedes their learning process. The optimal method of measuring self-perceived knowledge is still under debate. In this study, we evaluate the use of psychology-derived post-decision wagering for mapping students self-perceived knowledge. METHODS: Students (n = 71) performed a pre-test on medical physiology, followed by a teacher-moderated discussion and a post-test with isomorph questions. Half of the students rated their self-perceived knowledge on each question using post-decision wagering, i. e. betting 1–5 points on the correctness of their answer, whereas the other half used a 5-point Likert scale to rate their confidence. RESULTS: Self-perceived knowledge scores were higher for post-decision wagering (pre: 3.75 ± 0.14, post: 4.60 ± 0.07) compared with Likert scales (pre: 3.13 ± 0.08, post: 3.92 ± 0.08) despite similar actual knowledge scores. Furthermore, Likert ratings showed a near-normal distribution, whereas wagers were placed preferentially using the outer ends of the scale. Correlations between mean actual and self-perceived knowledge scores were low in both groups. On average, 8.5% of responses were classified as misconceptions, defined as highly confident incorrect answers. DISCUSSION: Despite the presumed reliability of post-decision wagering, our findings suggest that we should adhere to the use of Likert scales as a balanced measure for self-perceived knowledge in medical education. Moreover, the prevalence of misconceptions did not alter after instruction, indicating a need for instructional designs that enhance students’ conceptual understanding in basic sciences.
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spelling pubmed-63826162019-03-10 Putting post-decision wagering to the test: a measure of self-perceived knowledge in basic sciences? Versteeg, Marjolein Steendijk, Paul Perspect Med Educ Original Article INTRODUCTION: Students learn more effectively when they know what they do not know. Gaining insight into students’ metacognitive awareness is needed as misalignment between actual and self-perceived knowledge impedes their learning process. The optimal method of measuring self-perceived knowledge is still under debate. In this study, we evaluate the use of psychology-derived post-decision wagering for mapping students self-perceived knowledge. METHODS: Students (n = 71) performed a pre-test on medical physiology, followed by a teacher-moderated discussion and a post-test with isomorph questions. Half of the students rated their self-perceived knowledge on each question using post-decision wagering, i. e. betting 1–5 points on the correctness of their answer, whereas the other half used a 5-point Likert scale to rate their confidence. RESULTS: Self-perceived knowledge scores were higher for post-decision wagering (pre: 3.75 ± 0.14, post: 4.60 ± 0.07) compared with Likert scales (pre: 3.13 ± 0.08, post: 3.92 ± 0.08) despite similar actual knowledge scores. Furthermore, Likert ratings showed a near-normal distribution, whereas wagers were placed preferentially using the outer ends of the scale. Correlations between mean actual and self-perceived knowledge scores were low in both groups. On average, 8.5% of responses were classified as misconceptions, defined as highly confident incorrect answers. DISCUSSION: Despite the presumed reliability of post-decision wagering, our findings suggest that we should adhere to the use of Likert scales as a balanced measure for self-perceived knowledge in medical education. Moreover, the prevalence of misconceptions did not alter after instruction, indicating a need for instructional designs that enhance students’ conceptual understanding in basic sciences. Bohn Stafleu van Loghum 2019-02-05 2019-02 /pmc/articles/PMC6382616/ /pubmed/30721399 http://dx.doi.org/10.1007/s40037-019-0495-4 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
Versteeg, Marjolein
Steendijk, Paul
Putting post-decision wagering to the test: a measure of self-perceived knowledge in basic sciences?
title Putting post-decision wagering to the test: a measure of self-perceived knowledge in basic sciences?
title_full Putting post-decision wagering to the test: a measure of self-perceived knowledge in basic sciences?
title_fullStr Putting post-decision wagering to the test: a measure of self-perceived knowledge in basic sciences?
title_full_unstemmed Putting post-decision wagering to the test: a measure of self-perceived knowledge in basic sciences?
title_short Putting post-decision wagering to the test: a measure of self-perceived knowledge in basic sciences?
title_sort putting post-decision wagering to the test: a measure of self-perceived knowledge in basic sciences?
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6382616/
https://www.ncbi.nlm.nih.gov/pubmed/30721399
http://dx.doi.org/10.1007/s40037-019-0495-4
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