Using R to Apply Open Science Principles in Second Language Acquisition and Didactics
In this article, the advantages of the Open Science movement in terms of open access to publications and results, collaboration between researchers, and especially methodological transparency, are presented. It is then argued that the R software is a useful tool which can contribute to the sharing o...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | URI:https://journals.openedition.org/alsic, |
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| Κύριος συγγραφέας: | |
| Μορφή: | Article ou chapitre numérique |
| Γλώσσα: | Anglais |
| Έκδοση: |
Alsic
2024
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| Θέματα: | |
| Διαθέσιμο Online: | Accès Université d'Orléans et IFPM Accès Université d'Orléans et IFPM |
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openedition-oai:revues.org:alsic_7486 |
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openedition |
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openedition-oai:revues.org:alsic_7486 https://doi.org/10.4000/12a6r urn:doi:10.4000/12a6r en https://journals.openedition.org/alsic/7486 2024-11-04T01:00:00Z info:eu-repo/semantics/openAccess article info:eu-repo/semantics/article urn:handle:20.500.13089/12a6r https://creativecommons.org/licenses/by-nc-nd/4.0/ Using R to Apply Open Science Principles in Second Language Acquisition and Didactics Alsic Adalsic info:eu-repo/semantics/reference/issn/1286-4986 URI:https://journals.openedition.org/alsic Jouannaud, Marie-Pierre oral comprehension English open science statistics anglais science ouverte statistique compréhension de l’oral In this article, the advantages of the Open Science movement in terms of open access to publications and results, collaboration between researchers, and especially methodological transparency, are presented. It is then argued that the R software is a useful tool which can contribute to the sharing of data analysis methods by providing explicit information about the pre-treatment of data files and the statistical analyses used. R also helps with the comprehension of results by facilitating the production of data-accountable graphics. This is illustrated in the context of a large-scale research project requiring the use of statistics to analyze data from pre- and post-tests to validate the use of Luciole, an educational app teaching English listening comprehension in first- and second-grade classrooms in France. Cet article commence par la description des apports du mouvement de la science ouverte : libre accès aux publications et aux résultats scientifiques, collaboration entre chercheurs, et surtout transparence méthodologique. Il montre ensuite que le logiciel R est un outil utile pour partager les méthodes d'analyse des données, parce qu’il permet de fournir des informations explicites sur le prétraitement des fichiers de données et sur les analyses statistiques utilisées. R aide également à la compréhension des résultats en facilitant la production de graphiques qui rendent compte des données de façon claire et esthétique. Son potentiel est illustré dans le contexte d'un projet de recherche à grande échelle nécessitant l'utilisation de statistiques pour analyser les résultats de prétests et posttests de Luciole, une application numérique permettant d'enseigner la compréhension de l’oral en anglais dans les classes de CP et CE1 en France. |
| collection |
OpenEdition Journal |
| language |
Anglais |
| format |
Article ou chapitre numérique |
| building |
0/Bibliothèque numérique/ 1/Bibliothèque numérique/OpenEdition Journals/ |
| topic |
oral comprehension English open science statistics anglais science ouverte statistique compréhension de l’oral |
| spellingShingle |
oral comprehension English open science statistics anglais science ouverte statistique compréhension de l’oral Jouannaud, Marie-Pierre Using R to Apply Open Science Principles in Second Language Acquisition and Didactics |
| description |
In this article, the advantages of the Open Science movement in terms of open access to publications and results, collaboration between researchers, and especially methodological transparency, are presented. It is then argued that the R software is a useful tool which can contribute to the sharing of data analysis methods by providing explicit information about the pre-treatment of data files and the statistical analyses used. R also helps with the comprehension of results by facilitating the production of data-accountable graphics. This is illustrated in the context of a large-scale research project requiring the use of statistics to analyze data from pre- and post-tests to validate the use of Luciole, an educational app teaching English listening comprehension in first- and second-grade classrooms in France. |
| author |
Jouannaud, Marie-Pierre |
| author_facet |
Jouannaud, Marie-Pierre |
| author_sort |
Jouannaud, Marie-Pierre |
| title |
Using R to Apply Open Science Principles in Second Language Acquisition and Didactics |
| title_short |
Using R to Apply Open Science Principles in Second Language Acquisition and Didactics |
| title_full |
Using R to Apply Open Science Principles in Second Language Acquisition and Didactics |
| title_fullStr |
Using R to Apply Open Science Principles in Second Language Acquisition and Didactics |
| title_full_unstemmed |
Using R to Apply Open Science Principles in Second Language Acquisition and Didactics |
| title_sort |
using r to apply open science principles in second language acquisition and didactics |
| publisher |
Alsic |
| publishDate |
2024 |
| container_title |
URI:https://journals.openedition.org/alsic |
| url |
https://ezproxy.univ-orleans.fr/login?url=https://doi.org/10.4000/12a6r https://ezproxy.univ-orleans.fr/login?url=https://journals.openedition.org/alsic/7486 |
| _version_ |
1877292245018738688 |