EDUCAUSE 2019 French Delegation Report - EN: Visits to University of Chicago, Northwestern University & Concordia University
Notice bibliographique
Résumé
For the seventh consecutive year, a French delegation was formed to participate to the EDUCAUSE AnnualConference. Since 2013, this initiative has been structured around complementary profiles from the digital worldof the French Higher Education, 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 attendance, which prevailed during the first years of this delegation, we have graduallymoved to a resolutely more active approach, at various levels.The members of the Delegation steering committee actively participate to the life of EDUCAUSE :• The delegation communicated from 2012 to 2019 in the framework of the Annual Conference (six sessionsand five posters) and the ELI conference1 (three sessions).• Three members are part of the proposal reviewers since 2015 to evaluate papers submitted to the AnnualConferences and ELI.• One member was selected on behalf of CSIESR on the 2019 program committee.• Since 2018, two members have been part of the panel of experts selected for the drafting of theEDUCAUSE Horizon Report2.• Two members participate to EDUCAUSE working groups, the Learning Space Community Group, theBlended and Online Learning Community Group and the Extended Reality XR Community Group.• Two members under CSIESR and EUNIS work in the CHEITA group which is an informal federation of sisterEDUCAUSE associations around the world (Europe, Australia, France, Japan, New Zealand, UnitedKingdom, Netherlands).• Two members under CSIESR and EUNIS worked for the EDUCAUSE International Task Force which met inwebconference from January to October 2019 to produce a recommendations document on EDUCAUSE'sinternational actions.The recognition of these different levels of involvement has enabled us to forge privileged links with EDUCAUSE,and in particular its executive members (President, Vice-Presidents and Directors), and more generally within theNorth American University community, with whom some formal collaborations have already been establishedover the years. These links contribute to the achievement of our fundamental objectives: to exchange, raiseawareness, inform and share in order to support the development of digital technology in French HigherEducation.Our traditional restitution is a concrete expression of this desire, and has become a major annual event that weknow being appreciated. The accompanying report, for its part, is becoming increasingly widely distributed, andis based in particular on the present English translation which we quickly took note of. Outside Europe, it isexpected and read every year in the United States, Canada, Japan, Singapore, Australia and New Zealand. Thisnew edition of our report follows on from the restitution held in Paris on 12 February 2020 in the premises of theAMUE. It covers the usual three university visits (University of Chicago, Northwestern University in Chicago, andConcordia University in Montreal), and the various workshops attended at the EDUCAUSE Conference itself. Itcan also be supplemented by the various tweets posted by the delegation under the hashtag #EDU19fr.
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 | 0,008 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,005 | 0,001 |
| Communication savante | 0,006 | 0,001 |
| Science ouverte | 0,001 | 0,006 |
| Intégrité de la recherche | 0,003 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,154 | 0,049 |
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 ».