EDUCAUSE 2021 French Delegation Report - EN
Notice bibliographique
Résumé
For the eighth consecutive year, a French Delegation was formed to participate in the annual EDUCAUSEconference. Since 2013, this initiative has been structured around complementary profiles from the FrenchHigher Education digital sector, all of them being keen to open up to the international arena in order to findsources of inspiration and points of comparison, but also to highlight remarkable achievements. From an initialphilosophy of simple participation, which prevailed during the first years of this Delegation, we haveprogressively moved to a resolutely more active approach, at various levels.The members of the Delegation's steering committee actively participate in the life of EDUCAUSE, throughvarious involvements: as proposal reviewers for the EDUCAUSE Annual Conferences and the EDUCAUSELearning Initiative Annual Conferences, as members of the panel of experts mobilized for the drafting of theEDUCAUSE Horizon Report, or as members of various thematic Community Groups (XR and Learning Spacesin particular). In addition, there have been about 15 presentations made by members of the French Delegation atvarious EDUCAUSE conferences since 2017.The recognition of these different levels of intervention has allowed us to establish privileged connexions withEDUCAUSE and in particular its executive members (President, Vice Presidents and Directors), and moreglobally within the North American Higher Education community, with which some formal collaborations havealready been established over time. These connexions contribute to the realization of our fundamentalobjectives: exchange, sensitize, inform, and share in order to support the development of digital technology inFrench Higher Education.Every year, our traditional restitution gives concrete expression to this desire, and has become a major annualevent that we know to be appreciated. As for the accompanying report, it is being disseminated more and more,and is based on an English translation that we have quickly put in place. Outside of Europe, it is awaited andread every year in the United States, Canada, Japan, Singapore, Australia and New Zealand. This new edition ofour report follows the restitution that took place on March 17th, 2022. It deals with the different workshopsfollowed during the EDUCAUSE conference held in October 2021. It can also be completed by the differenttweets posted by the delegation under the #EDU21fr hashtag.The 2021 edition of the EDUCAUSE conference was again placed as in 2020 under the sign of the global healthcrisis. It was only accessible by distance for international participants like us without flights. However, a limitednumber of sessions outside the plenary sessions were filmed and broadcasted. The short duration (one month)of online viewing of these videos would have made it difficult to write the articles in this report. However, ourintervention with the EDUCAUSE organization allowed us to have access to some of the sessions outside of thedeadline and we would like to thank our contacts for this.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,010 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,004 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,009 | 0,002 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,004 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,183 | 0,101 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».