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The Mastery Rubric for Bioinformatics: A tool to support design and evaluation of career-spanning education and training
As the life sciences have become more data intensive, the pressure to incorporate the requisite training into life-science education and training programs has increased. To facilitate curriculum development, various sets of (bio)informatics competencies have been articulated; however, these have pro...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6879125/ https://www.ncbi.nlm.nih.gov/pubmed/31770418 http://dx.doi.org/10.1371/journal.pone.0225256 |
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author | Tractenberg, Rochelle E. Lindvall, Jessica M. Attwood, Teresa K. Via, Allegra |
author_facet | Tractenberg, Rochelle E. Lindvall, Jessica M. Attwood, Teresa K. Via, Allegra |
author_sort | Tractenberg, Rochelle E. |
collection | PubMed |
description | As the life sciences have become more data intensive, the pressure to incorporate the requisite training into life-science education and training programs has increased. To facilitate curriculum development, various sets of (bio)informatics competencies have been articulated; however, these have proved difficult to implement in practice. Addressing this issue, we have created a curriculum-design and -evaluation tool to support the development of specific Knowledge, Skills and Abilities (KSAs) that reflect the scientific method and promote both bioinformatics practice and the achievement of competencies. Twelve KSAs were extracted via formal analysis, and stages along a developmental trajectory, from uninitiated student to independent practitioner, were identified. Demonstration of each KSA by a performer at each stage was initially described (Performance Level Descriptors, PLDs), evaluated, and revised at an international workshop. This work was subsequently extended and further refined to yield the Mastery Rubric for Bioinformatics (MR-Bi). The MR-Bi was validated by demonstrating alignment between the KSAs and competencies, and its consistency with principles of adult learning. The MR-Bi tool provides a formal framework to support curriculum building, training, and self-directed learning. It prioritizes the development of independence and scientific reasoning, and is structured to allow individuals (regardless of career stage, disciplinary background, or skill level) to locate themselves within the framework. The KSAs and their PLDs promote scientific problem formulation and problem solving, lending the MR-Bi durability and flexibility. With its explicit developmental trajectory, the tool can be used by developing or practicing scientists to direct their (and their team’s) acquisition of new, or to deepen existing, bioinformatics KSAs. The MR-Bi is a tool that can contribute to the cultivation of a next generation of bioinformaticians who are able to design reproducible and rigorous research, and to critically analyze results from their own, and others’, work. |
format | Online Article Text |
id | pubmed-6879125 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-68791252019-12-08 The Mastery Rubric for Bioinformatics: A tool to support design and evaluation of career-spanning education and training Tractenberg, Rochelle E. Lindvall, Jessica M. Attwood, Teresa K. Via, Allegra PLoS One Research Article As the life sciences have become more data intensive, the pressure to incorporate the requisite training into life-science education and training programs has increased. To facilitate curriculum development, various sets of (bio)informatics competencies have been articulated; however, these have proved difficult to implement in practice. Addressing this issue, we have created a curriculum-design and -evaluation tool to support the development of specific Knowledge, Skills and Abilities (KSAs) that reflect the scientific method and promote both bioinformatics practice and the achievement of competencies. Twelve KSAs were extracted via formal analysis, and stages along a developmental trajectory, from uninitiated student to independent practitioner, were identified. Demonstration of each KSA by a performer at each stage was initially described (Performance Level Descriptors, PLDs), evaluated, and revised at an international workshop. This work was subsequently extended and further refined to yield the Mastery Rubric for Bioinformatics (MR-Bi). The MR-Bi was validated by demonstrating alignment between the KSAs and competencies, and its consistency with principles of adult learning. The MR-Bi tool provides a formal framework to support curriculum building, training, and self-directed learning. It prioritizes the development of independence and scientific reasoning, and is structured to allow individuals (regardless of career stage, disciplinary background, or skill level) to locate themselves within the framework. The KSAs and their PLDs promote scientific problem formulation and problem solving, lending the MR-Bi durability and flexibility. With its explicit developmental trajectory, the tool can be used by developing or practicing scientists to direct their (and their team’s) acquisition of new, or to deepen existing, bioinformatics KSAs. The MR-Bi is a tool that can contribute to the cultivation of a next generation of bioinformaticians who are able to design reproducible and rigorous research, and to critically analyze results from their own, and others’, work. Public Library of Science 2019-11-26 /pmc/articles/PMC6879125/ /pubmed/31770418 http://dx.doi.org/10.1371/journal.pone.0225256 Text en © 2019 Tractenberg et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Tractenberg, Rochelle E. Lindvall, Jessica M. Attwood, Teresa K. Via, Allegra The Mastery Rubric for Bioinformatics: A tool to support design and evaluation of career-spanning education and training |
title | The Mastery Rubric for Bioinformatics: A tool to support design and evaluation of career-spanning education and training |
title_full | The Mastery Rubric for Bioinformatics: A tool to support design and evaluation of career-spanning education and training |
title_fullStr | The Mastery Rubric for Bioinformatics: A tool to support design and evaluation of career-spanning education and training |
title_full_unstemmed | The Mastery Rubric for Bioinformatics: A tool to support design and evaluation of career-spanning education and training |
title_short | The Mastery Rubric for Bioinformatics: A tool to support design and evaluation of career-spanning education and training |
title_sort | mastery rubric for bioinformatics: a tool to support design and evaluation of career-spanning education and training |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6879125/ https://www.ncbi.nlm.nih.gov/pubmed/31770418 http://dx.doi.org/10.1371/journal.pone.0225256 |
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