Cargando…
Relationships between Prediction Accuracy, Metacognitive Reflection, and Performance in Introductory Genetics Students
Cognitive scientists have previously shown that students’ perceptions of their learning and performance on assessments often do not match reality. This process of self-assessing performance is a component of metacognition, which also includes the practice of thinking about one’s knowledge and identi...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Cell Biology
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9582813/ https://www.ncbi.nlm.nih.gov/pubmed/35759622 http://dx.doi.org/10.1187/cbe.21-12-0341 |
_version_ | 1784812927218352128 |
---|---|
author | Knight, Jennifer K. Weaver, Daniel C. Peffer, Melanie E. Hazlett, Zachary S. |
author_facet | Knight, Jennifer K. Weaver, Daniel C. Peffer, Melanie E. Hazlett, Zachary S. |
author_sort | Knight, Jennifer K. |
collection | PubMed |
description | Cognitive scientists have previously shown that students’ perceptions of their learning and performance on assessments often do not match reality. This process of self-assessing performance is a component of metacognition, which also includes the practice of thinking about one’s knowledge and identifying and implementing strategies to improve understanding. We used a mixed-methods approach to investigate the relationship between students’ perceptions of their performance through grade predictions, their metacognitive reflections after receiving their grades, and their actual performance during a semester-long introductory genetics course. We found that, as a group, students do not display better predictive accuracy nor more metacognitive reflections over the semester. However, those who shift from overpredicting to matching or underpredicting also show improved performance. Higher performers are overall more likely to answer reflection questions than lower-performing peers. Although high-performing students are usually more metacognitive in their reflections, an increase in a student’s frequency of metacognitive responses over time does not necessarily predict a grade increase. We illustrate several example trends in student reflections and suggest possible next steps for helping students implement better metacognitive regulation. |
format | Online Article Text |
id | pubmed-9582813 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Society for Cell Biology |
record_format | MEDLINE/PubMed |
spelling | pubmed-95828132022-11-01 Relationships between Prediction Accuracy, Metacognitive Reflection, and Performance in Introductory Genetics Students Knight, Jennifer K. Weaver, Daniel C. Peffer, Melanie E. Hazlett, Zachary S. CBE Life Sci Educ General Essays and Articles Cognitive scientists have previously shown that students’ perceptions of their learning and performance on assessments often do not match reality. This process of self-assessing performance is a component of metacognition, which also includes the practice of thinking about one’s knowledge and identifying and implementing strategies to improve understanding. We used a mixed-methods approach to investigate the relationship between students’ perceptions of their performance through grade predictions, their metacognitive reflections after receiving their grades, and their actual performance during a semester-long introductory genetics course. We found that, as a group, students do not display better predictive accuracy nor more metacognitive reflections over the semester. However, those who shift from overpredicting to matching or underpredicting also show improved performance. Higher performers are overall more likely to answer reflection questions than lower-performing peers. Although high-performing students are usually more metacognitive in their reflections, an increase in a student’s frequency of metacognitive responses over time does not necessarily predict a grade increase. We illustrate several example trends in student reflections and suggest possible next steps for helping students implement better metacognitive regulation. American Society for Cell Biology 2022 /pmc/articles/PMC9582813/ /pubmed/35759622 http://dx.doi.org/10.1187/cbe.21-12-0341 Text en © 2022 J. K. Knight et al. CBE—Life Sciences Education © 2022 The American Society for Cell Biology. “ASCB®” and “The American Society for Cell Biology®” are registered trademarks of The American Society for Cell Biology. https://creativecommons.org/licenses/by-nc-sa/4.0/This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 4.0 Unported Creative Commons License. |
spellingShingle | General Essays and Articles Knight, Jennifer K. Weaver, Daniel C. Peffer, Melanie E. Hazlett, Zachary S. Relationships between Prediction Accuracy, Metacognitive Reflection, and Performance in Introductory Genetics Students |
title | Relationships between Prediction Accuracy, Metacognitive Reflection, and Performance in Introductory Genetics Students |
title_full | Relationships between Prediction Accuracy, Metacognitive Reflection, and Performance in Introductory Genetics Students |
title_fullStr | Relationships between Prediction Accuracy, Metacognitive Reflection, and Performance in Introductory Genetics Students |
title_full_unstemmed | Relationships between Prediction Accuracy, Metacognitive Reflection, and Performance in Introductory Genetics Students |
title_short | Relationships between Prediction Accuracy, Metacognitive Reflection, and Performance in Introductory Genetics Students |
title_sort | relationships between prediction accuracy, metacognitive reflection, and performance in introductory genetics students |
topic | General Essays and Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9582813/ https://www.ncbi.nlm.nih.gov/pubmed/35759622 http://dx.doi.org/10.1187/cbe.21-12-0341 |
work_keys_str_mv | AT knightjenniferk relationshipsbetweenpredictionaccuracymetacognitivereflectionandperformanceinintroductorygeneticsstudents AT weaverdanielc relationshipsbetweenpredictionaccuracymetacognitivereflectionandperformanceinintroductorygeneticsstudents AT peffermelaniee relationshipsbetweenpredictionaccuracymetacognitivereflectionandperformanceinintroductorygeneticsstudents AT hazlettzacharys relationshipsbetweenpredictionaccuracymetacognitivereflectionandperformanceinintroductorygeneticsstudents |