EDUCAUSE 2022 French Delegation Report - EN: Visits to Colorado University of Boulder, Colorado Community College System, Community College of Denver & Internet2
Notice bibliographique
Résumé
For the ninth consecutive year, a French Delegation has been formed to attend the annual EDUCAUSEconference. This initiative, which has been underway since 2013, brings together complementary profiles fromthe Digital world of French Higher Education community. We hope that this opening will provide sources ofinspiration and points of comparison, as well as vectors for promoting existing or upcoming projects.Thus, from an initial philosophy of simple participation that prevailed during the first years of this Delegation, wehave progressively moved to a more active logic, at various levels. More than 15 presentations accepted for thedifferent EDUCAUSE conferences on several academic topics have thus been given by members of our groupsince 2016. In addition, members of the Delegation's steering committee are actively involved in the life ofEDUCAUSE as members of the panel of experts gathered for the EDUCAUSE Horizon Report, as members ofseveral Community Groups (XR and Learning Spaces in particular), or as writers of reference articles andtranslators of tools. This involvement also reflects itself in the organization of the EDUCAUSE AnnualConferences and EDUCAUSE Learning Initiative Annual Meetings, for which we are not only mobilized each yearas proposal reviewers, but also as members of the respective program committees (in 2019 and 2023).The recognition of these different levels of involvement has allowed us to build a privileged relationship withEDUCAUSE and in particular its executive members (President, Vice-Presidents and Directors). Our actionshave also given us significant visibility in the North American academic community and beyond, which has led tothe settlement of formal collaborations, some of which are long term. In particular, various cooperations arebeing established with the EDUCAUSE Japanese Delegation.These different approaches contribute to reach our fundamental goals: exchange, inform, and share in order tosupport the development of digital in Higher Education.Our traditional restitution is a concrete expression of this desire, and has become a major annual event, whichwe know being appreciated. As for the accompanying report, it has an ever-increasing international audience,which is supported in particular by an English translation that we have quickly put into effect. Outside of Europe,it is awaited and read every year in the United States, Canada, Japan, Singapore, Australia and New Zealand.This new edition of the report follows the restitution held in Paris on January 27, 2023. It covers the differentworkshops followed during the EDUCAUSE conference held in October 2022 in Denver, as well as the four visitsthat the return to face-to-face meetings allowed us to organize again. It can also be completed by the differenttweets posted by the Delegation under the #EDU22fr hashtag.
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 | 0,004 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,005 | 0,001 |
| Communication savante | 0,005 | 0,001 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,003 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,283 | 0,074 |
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 ».