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Enregistrement W7135402960 · doi:10.1108/dl-09-2007-0012

CASE STUDY: Wayne State University Takes the Lead in Library and Information Science Using Mediasite

2007· article· en· W7135402960 sur OpenAlexaboutno aff
Joseph J. Mika

Notice bibliographique

RevueDistance Learning · 2007
Typearticle
Langueen
DomaineComputer Science
ThématiqueWeb and Library Services
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésInformation scienceState (computer science)Educational programSchool libraryScience educationContinuing educationInformation technology

Résumé

récupéré en direct d'OpenAlex

The Wayne State University Library and Information Science Program can trace its origins to 1918, when the Detroit Normal Training School began offering courses in school librarianship to elementary teachers in the Detroit Public School system. After the training school became the Detroit Teachers College in 1923, the library science program grew and it remains one of only only 57 American Library Association-accredited degree programs of library and information science in the United States and Canada. In recognition of the growth of the program and the expansion of its curriculum, the name of the program was changed to the Library and Information Science Program (adding information science) in 1993. The program has 15 full-time and 60 part-time faculty members.Joseph Mika, then director of the Library and Information Science Program, sought to take advantage of a technology that would enhance student learning. The school already had transitioned from a successful on-site program to four off-campus sites to offering online courses using the Blackboard course management system. The next logical step seemed to be the integration of live classes for remote students.Mika discovered Mediasite while attending a recruitment meeting for directors and assistant deans more than 2 years ago. At that meeting, he spoke with the assistant dean of the university business school, who raved about Mediasite, so Mika went to see it in operation. About 2 months later, the Library and Information Science Program had its own Mediasite system.“I went after something I knew worked and had a chance to observe,” said Mika. “The equipment itself is very straightforward and easy to use. It only took a matter of hours to get up and running after watching the demo by Sonic Foundry personnel and using the technology ourselves.”The Wayne State University Library and Information Science Program utilizes Mediasite to capture a minimum of 25–28 recordings per month. Seven teachers capture four lectures per week. Program faculty have affectionately nicknamed Mediasite “ECHO,” which stands for “enhancing courses held online.” “I love Mediasite,” said John Heinrichs, assistant professor in library and information science. “It’s a whole new way of teaching. Now I can stop, run polls to see if students understand the content. I can see if there are any questions being keyed into the moderator function and answer those right away.”Working students also are able to save time that otherwise would be spent in transit between school and their places of employment. In fact, some employers are so appreciative that their student employees can remain on-site, they allow them to view Mediasite classes at the office or at another convenient location. “The students seem to really love it,” said Heinrichs. “They don’t have to travel during tumultuous Michigan winters and are able to review lectures—stop and replay, which they obviously can’t do in a conventional classroom environment.”Besides online course content, Mediasite now is being used to capture new student orientations. “We used to require students to come to our campus for orientation classes. Now we can capture orientation online and provide a virtual orientation,” said Mika. Additionally, Mika recently received a grant that would allow department faculty to offer mediasite continuing education curricula to rural librarians not wishing to undertake a master’s degree.Mediasite has changed Heinrichs’ very own approach to teaching. Since the program purchased Mediasite, Heinrichs takes care to enunciate his words and to avoid meandering around the classroom as he drives home a compelling point. Heinrichs now uses masking tape to corner off the area in which he must remain so that he can be sure to be visually captured by Mediasite.“It’s not a question of saving money. It’s more an issue of increasing the student body by reaching remote individuals who otherwise would not be in our program,” Mika said. “Mediasite is helping us expand the benefits of our teachings as well as increase our student enrollment,” said Heinrichs. “It’s not just a teaching and learning tool; it’s a driver of growth.”

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,008
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,044
Score d'incertitude au seuil0,088

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,008
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0180,004
Communication savante0,0050,006
Science ouverte0,0030,006
Intégrité de la recherche0,0060,005
Charge utile insuffisante (le modèle a refusé de juger)0,0130,002

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.

Tête enseignante Opus0,010
Tête enseignante GPT0,214
Écart entre enseignants0,204 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2007
Routes d'admission1
Résumé présentoui

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