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@ARTICLE{Lobet:889076,
author = {Lobet, Guillaume and Descamps, Charlotte and Leveau, Lola
and Guillet, Alain and Rees, Jean‐François},
title = {{Q}uo{V}idi: {A}n open‐source web application for the
organization of large‐scale biological treasure hunts},
journal = {Ecology and evolution},
volume = {11},
number = {8},
issn = {2045-7758},
address = {[S.l.]},
publisher = {John Wiley $\&$ Sons, Inc.},
reportid = {FZJ-2021-00012},
pages = {3516-3526},
year = {2021},
abstract = {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.},
cin = {IBG-3},
ddc = {500},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {217 - Für eine nachhaltige Bio-Ökonomie – von
Ressourcen zu Produkten (POF4-217)},
pid = {G:(DE-HGF)POF4-217},
typ = {PUB:(DE-HGF)16},
pubmed = {33898007},
UT = {WOS:000602633600001},
doi = {10.1002/ece3.7130},
url = {https://juser.fz-juelich.de/record/889076},
}