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QuoVidi: An open‐source web application for the organization of large‐scale biological treasure hunts
Learning biology, and in particular systematics, requires learning a substantial amount of specific vocabulary, both for botanical and zoological studies. While crucial, the precise identification of structures serving as evolutionary traits and systematic criteria is not per se a highly motivating...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8057331/ https://www.ncbi.nlm.nih.gov/pubmed/33898007 http://dx.doi.org/10.1002/ece3.7130 |
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author | Lobet, Guillaume Descamps, Charlotte Leveau, Lola Guillet, Alain Rees, Jean‐François |
author_facet | Lobet, Guillaume Descamps, Charlotte Leveau, Lola Guillet, Alain Rees, Jean‐François |
author_sort | Lobet, Guillaume |
collection | PubMed |
description | Learning biology, and in particular systematics, requires learning a substantial amount of specific vocabulary, both for botanical and zoological studies. While crucial, the precise identification of structures serving as evolutionary traits and systematic criteria is not per se a highly motivating task for students. Teaching this in a traditional teaching setting is quite challenging especially with a large crowd of students to be kept engaged. This is even more difficult if, as during the COVID‐19 crisis, students are not allowed to access laboratories for hands‐on observation on fresh specimens and sometimes restricted to short‐range movements outside their home. Here, we present QuoVidi, a new open‐source web platform for the organization of large‐scale treasure hunts. The platform works as follows: students, organized in teams, receive a list of quests that contain morphologic, ecologic, or systematic terms. They have to first understand the meaning of the quests, then go and find them in the environment. Once they find the organism corresponding to a quest, they upload a geotagged picture of their finding and submit this on the platform. The correctness of each submission is evaluated by the staff. During the COVID‐19 lockdown, previously validated pictures were also submitted for evaluation to students that were locked in low‐biodiversity areas. From a research perspective, the system enables the creation of large image databases by the students, similar to citizen science projects. Beside the enhanced motivation of students to learn the vocabulary and perform observations on self‐found specimens, this system allows instructors to remotely follow and assess the work performed by large numbers of students. The interface is freely available, open‐source and customizable. Unlike existing naturalist platforms, allows the educators to fully customize the quests of interest. This enables the creation of multiple teaching scenarios, without being bound to a fixed scope. QuoVidi can be used in other disciplines with adapted quests and we expect it to be of interest in many classroom settings. |
format | Online Article Text |
id | pubmed-8057331 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80573312021-04-23 QuoVidi: An open‐source web application for the organization of large‐scale biological treasure hunts Lobet, Guillaume Descamps, Charlotte Leveau, Lola Guillet, Alain Rees, Jean‐François Ecol Evol Academic Practice in Ecology and Evolution Learning biology, and in particular systematics, requires learning a substantial amount of specific vocabulary, both for botanical and zoological studies. While crucial, the precise identification of structures serving as evolutionary traits and systematic criteria is not per se a highly motivating task for students. Teaching this in a traditional teaching setting is quite challenging especially with a large crowd of students to be kept engaged. This is even more difficult if, as during the COVID‐19 crisis, students are not allowed to access laboratories for hands‐on observation on fresh specimens and sometimes restricted to short‐range movements outside their home. Here, we present QuoVidi, a new open‐source web platform for the organization of large‐scale treasure hunts. The platform works as follows: students, organized in teams, receive a list of quests that contain morphologic, ecologic, or systematic terms. They have to first understand the meaning of the quests, then go and find them in the environment. Once they find the organism corresponding to a quest, they upload a geotagged picture of their finding and submit this on the platform. The correctness of each submission is evaluated by the staff. During the COVID‐19 lockdown, previously validated pictures were also submitted for evaluation to students that were locked in low‐biodiversity areas. From a research perspective, the system enables the creation of large image databases by the students, similar to citizen science projects. Beside the enhanced motivation of students to learn the vocabulary and perform observations on self‐found specimens, this system allows instructors to remotely follow and assess the work performed by large numbers of students. The interface is freely available, open‐source and customizable. Unlike existing naturalist platforms, allows the educators to fully customize the quests of interest. This enables the creation of multiple teaching scenarios, without being bound to a fixed scope. QuoVidi can be used in other disciplines with adapted quests and we expect it to be of interest in many classroom settings. John Wiley and Sons Inc. 2020-12-28 /pmc/articles/PMC8057331/ /pubmed/33898007 http://dx.doi.org/10.1002/ece3.7130 Text en © 2020 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Academic Practice in Ecology and Evolution Lobet, Guillaume Descamps, Charlotte Leveau, Lola Guillet, Alain Rees, Jean‐François QuoVidi: An open‐source web application for the organization of large‐scale biological treasure hunts |
title | QuoVidi: An open‐source web application for the organization of large‐scale biological treasure hunts |
title_full | QuoVidi: An open‐source web application for the organization of large‐scale biological treasure hunts |
title_fullStr | QuoVidi: An open‐source web application for the organization of large‐scale biological treasure hunts |
title_full_unstemmed | QuoVidi: An open‐source web application for the organization of large‐scale biological treasure hunts |
title_short | QuoVidi: An open‐source web application for the organization of large‐scale biological treasure hunts |
title_sort | quovidi: an open‐source web application for the organization of large‐scale biological treasure hunts |
topic | Academic Practice in Ecology and Evolution |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8057331/ https://www.ncbi.nlm.nih.gov/pubmed/33898007 http://dx.doi.org/10.1002/ece3.7130 |
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