MétaCan
Menu
Retour à la cohorte
Enregistrement W7025474957

2013 Year Three Self-evaluation Report

2013· report· en· W7025474957 sur OpenAlexaboutno aff

Notice bibliographique

RevueScholarWorks-UA (University of Alaska Fairbanks) · 2013
Typereport
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueCocoa and Sweet Potato Agronomy
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésThe artsReading (process)Articulation (sociology)Distance educationCurriculumPrimary education
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

certificates largely or entirely by e-Learning 1 .An additional 40 programs were offered in blended or hybrid delivery, combining face-to-face instruction with e-Learning.In two recent studies 2 , both current students and graduates praised access to fully online programs as a major attraction of UAS.Nearly half (47 percent) of UAS students take advantage of e-Learning courses from the University's geographically dispersed campuses and over 40 percent are enrolled primarily through e-Learning.Many are located outside of the region in south-central, interior, and western Alaska.Support for these students is thoroughly integrated into all departments on all three campuses; for example admissions, registration, advising, counseling, disabilities, library, Blackboard, and information technology.UAS programs are delivered through four schools: Arts and Sciences, Education, Management, and Career Education.The rich natural, social, and cultural environment of Southeast Alaska provides generous opportunities for teaching, research, and creative expression in the arts, humanities, and fieldbased science programs of the School of Arts and Sciences.In the formerly NCATE, now CAEP 3accredited School of Education, students intern with master teachers in diverse elementary and secondary settings across the entire state.Offering graduate degrees in special education, school administration, education technology, mathematics education, and reading the School of Education recently agreed to operate the Alaska Learning Network (AKLN), Alaska's virtual high school.This articulation of secondary and post-secondary education is designed to advance opportunities for Alaskan students-especially those in remote communities-to prepare successfully for post-secondary education.The graduates of all Education programs are sought by K-12 school districts statewide.Building upon its location in Juneau-Alaska's capital city-the UAS School of Management offers a variety of training opportunities related to employment in state and local government positions.This School also provides e-Learning programs in public and business administration to meet the needs of students widely distributed throughout Alaska.Over time, this has included opportunities for students in Canada's Yukon Territory (geographically close to Southeast Alaska) to complete their MPA through the UAS program.The School of Career Education offers diverse workforce development programs such as health information management and fisheries technology programs in Sitka, underground mine training in Juneau, and maritime training in Ketchikan, Sitka, and Juneau.Students have numerous opportunities to expand employment skills through occupational endorsements, certificates, and associate degrees.UAS collaborates with other UA units to expand offerings for its students and leverage available resources.In the healthcare arena, for example, UAS cooperates with the University of Alaska Anchorage-designated a decade ago as the lead institution in the state for healthcare education.UAA provides nursing programs with pathways to additional training and advanced degrees in Southeast Alaska.There are also close ties with the University of Alaska Fairbanks for UAS BA and BS degrees in Geography.Even during years of economic difficulties, Alaska has provided relatively stable support for its institutions of higher education, although the current fiscal climate suggests reductions are on the horizon.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,358
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0090,001

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 Opus0,032
Tête enseignante GPT0,219
Écart entre enseignants0,187 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

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
Publié2013
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueScholarWorks-UA (University of Alaska Fairbanks)Même sujetCocoa and Sweet Potato AgronomyTravaux en français237 207