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Enregistrement W2193163513 · doi:10.19030/cier.v1i4.1184

Are 11 Weeks Weak? A Conversation With Instructors

2011· article· en· W2193163513 sur OpenAlexaboutno aff
Gagan Sarkaria, Toni M. Schuster

Notice bibliographique

RevueContemporary Issues in Education Research (CIER) · 2011
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueDiverse Music Education Insights
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCurriculumReputationQuarter (Canadian coin)ConversationPublic relationsInstitutionPsychologyMedical educationPedagogySociologyPolitical scienceMedicine

Résumé

récupéré en direct d'OpenAlex

Undergraduate programs in the United States range from locally funded, two-year community colleges, to state and federally funded universities, as well as private, tuition-based institutions. Assumingly most programs attempt to facilitate a relevant and balanced curriculum that prepares students for the general and perhaps specific obstacles that they will experience in a professional environment. Successful curricula may also attempt to prepare students for the social, cultural and economic challenges that they will experience in their personal life. The question of how various programs implement this fundamental yet daunting task has been in the past and assuredly will remain a part of academia, research studies and discussions. In general, these debates relate to the breadth of a program. However, within this arena, the pertinent factor is a program’s length—the number of credit hours congruent to or with the duration of a quarter or a semester that are required to achieve a particular degree. This aspect may be of significance to prospective students, their parents, spouses and other individuals who potentially hold a role in the selection of the student’s educational process and future. Undeniable factors in the decision-process include admission’s work, the program itself, the degree offering, the reputation of the institution, cost of credit hours, the school’s physical location and its supporting environment—including housing accommodation, libraries, activity centers, proximity to family and workplace. Regardless of the various options, some individuals make the decision to enroll in an 11-week quarter-based educational model. The Art Institutes utilize this educational model at their thirty-five locations across the United States and two facilities in Canada. This system leads us to the question: do eleven weeks provide sufficient time for a student to interpret, analyze and demonstrate the course objectives? With an effort to advocate open-minded and non-conformist responses questions relating to this topic were asked in an informal setting—to new and experienced instructors who currently teach full or part-time at The Art Institute of Dallas. All possess a Masters or terminal degree in their fields of instruction and have been teaching in higher education for five or more years. Data from these conversations was gathered and has become the essence of this paper. Readers may assume current faculty advocate this model in order to maintain active employment. However, those assumptions are erroneous. The relevance of this research is important to prospective students, parents and all the individuals involved in higher education across the continuum of five- to seventeen-week terms. Those individuals can ‘hear’ the pros and cons (if any) of such a model from instructors themselves. This inquiry contributes to the conversations and value as found and defined by instructors. Via their research, the authors hope to facilitate a dialogue that advocates/or does not advocate the institution of an 11-week educational model amongst all the interested individuals in higher education. A deeper level of understanding and respect for instructors who successfully teach in quarter-based educational models can be obtained. Administrators may find value in this research for economic and accounting reasons. Both the authors clearly understand that the ‘instructor’ is only one component of any successful educational model. Opinions from others such as the students and alumni are also of immense value. These individuals will be addressed in their further studies.

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)0,025
score de la tête « metaresearch » (Gemma)0,044
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,025
Score d'incertitude au seuil0,133

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0250,044
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0240,014
Communication savante0,0160,021
Science ouverte0,0040,008
Intégrité de la recherche0,0190,046
Charge utile insuffisante (le modèle a refusé de juger)0,0100,003

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 Opus0,220
Tête enseignante GPT0,352
Écart entre enseignants0,132 · 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'étudeQualitatif
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
Publié2011
Routes d'admission1
Résumé présentoui

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