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A Novel Electronic Assessment Strategy to Support Applied Drosophila Genetics Training in University Courses

The advent of “omic” technologies has revolutionized genetics and created a demand to focus classical genetics on its present-day applications (Redfield, 2012, PLoS Biol 10: e1001356). This demand can be met by training students in Drosophila mating scheme design, which is an important problem-solvi...

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Autores principales: Fostier, Maggy, Patel, Sanjai, Clarke, Samantha, Prokop, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4426358/
https://www.ncbi.nlm.nih.gov/pubmed/25717150
http://dx.doi.org/10.1534/g3.115.017509
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author Fostier, Maggy
Patel, Sanjai
Clarke, Samantha
Prokop, Andreas
author_facet Fostier, Maggy
Patel, Sanjai
Clarke, Samantha
Prokop, Andreas
author_sort Fostier, Maggy
collection PubMed
description The advent of “omic” technologies has revolutionized genetics and created a demand to focus classical genetics on its present-day applications (Redfield, 2012, PLoS Biol 10: e1001356). This demand can be met by training students in Drosophila mating scheme design, which is an important problem-solving skill routinely applied in many modern research laboratories. It promotes a thorough understanding and application of classical genetics rules and introduces to transgenic technologies and the use of model organisms. As we show here, such training can be implemented as a flexible and concise module (~1-day home study, ~8-hour course time) on university courses by using our previously published training package designed for fly researchers (Roote and Prokop, 2013, G3 (Bethesda) 3: 353−358). However, assessing this training to make it an accredited course element is difficult, especially in large courses. Here, we present a powerful assessment strategy based on a novel hybrid concept in which students solve crossing tasks initially on paper and then answer automatically marked questions on the computer (1.5 hours total). This procedure can be used to examine student performance on more complex tasks than conventional e-assessments and is more versatile, time-saving, and fairer than standard paper-based assignments. Our evaluation shows that the hybrid assessment is effective and reliably detects varying degrees of understanding among students. It also may be applicable in other disciplines requiring complex problem solving, such as mathematics, chemistry, physics, or informatics. Here, we describe our strategies in detail and provide all resources needed for their implementation.
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spelling pubmed-44263582015-05-13 A Novel Electronic Assessment Strategy to Support Applied Drosophila Genetics Training in University Courses Fostier, Maggy Patel, Sanjai Clarke, Samantha Prokop, Andreas G3 (Bethesda) Investigations The advent of “omic” technologies has revolutionized genetics and created a demand to focus classical genetics on its present-day applications (Redfield, 2012, PLoS Biol 10: e1001356). This demand can be met by training students in Drosophila mating scheme design, which is an important problem-solving skill routinely applied in many modern research laboratories. It promotes a thorough understanding and application of classical genetics rules and introduces to transgenic technologies and the use of model organisms. As we show here, such training can be implemented as a flexible and concise module (~1-day home study, ~8-hour course time) on university courses by using our previously published training package designed for fly researchers (Roote and Prokop, 2013, G3 (Bethesda) 3: 353−358). However, assessing this training to make it an accredited course element is difficult, especially in large courses. Here, we present a powerful assessment strategy based on a novel hybrid concept in which students solve crossing tasks initially on paper and then answer automatically marked questions on the computer (1.5 hours total). This procedure can be used to examine student performance on more complex tasks than conventional e-assessments and is more versatile, time-saving, and fairer than standard paper-based assignments. Our evaluation shows that the hybrid assessment is effective and reliably detects varying degrees of understanding among students. It also may be applicable in other disciplines requiring complex problem solving, such as mathematics, chemistry, physics, or informatics. Here, we describe our strategies in detail and provide all resources needed for their implementation. Genetics Society of America 2015-02-25 /pmc/articles/PMC4426358/ /pubmed/25717150 http://dx.doi.org/10.1534/g3.115.017509 Text en Copyright © 2015 Fostier et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution Unported License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Investigations
Fostier, Maggy
Patel, Sanjai
Clarke, Samantha
Prokop, Andreas
A Novel Electronic Assessment Strategy to Support Applied Drosophila Genetics Training in University Courses
title A Novel Electronic Assessment Strategy to Support Applied Drosophila Genetics Training in University Courses
title_full A Novel Electronic Assessment Strategy to Support Applied Drosophila Genetics Training in University Courses
title_fullStr A Novel Electronic Assessment Strategy to Support Applied Drosophila Genetics Training in University Courses
title_full_unstemmed A Novel Electronic Assessment Strategy to Support Applied Drosophila Genetics Training in University Courses
title_short A Novel Electronic Assessment Strategy to Support Applied Drosophila Genetics Training in University Courses
title_sort novel electronic assessment strategy to support applied drosophila genetics training in university courses
topic Investigations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4426358/
https://www.ncbi.nlm.nih.gov/pubmed/25717150
http://dx.doi.org/10.1534/g3.115.017509
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