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Enregistrement W1584246128

Commuter Students: Involvement and Identification with an Institution of Higher Education

2011· article· en· W1584246128 sur OpenAlexaboutno aff
John J. Newbold, Sanjay S. Mehta, Patricia Forbus

Notice bibliographique

RevueThe Academy of Educational Leadership Journal · 2011
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueHigher Education Research Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésYesterdayHigher educationPopulationQuarter (Canadian coin)InstitutionSocioeconomic statusPublic relationsSociologyPolitical sciencePsychologyDemographic economicsGeographyDemographyEconomicsSocial scienceLaw
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

INTRODUCTION Since the 1980's, many public universities in the United States have evolved from universities to supported universities. A state-assisted university is one that receives less than 50% of their budget from the state (Archibald and Feldman, 2004). In order to overcome this gap in resources, it is important for universities to become more marketing oriented. The traditional student of yesterday is rare in today's world. There are not many of the typical residential colleges in which a full-time student enters immediately after high school, lives in a dormitory, and rarely works because the parents are their source of support. Less than a quarter of today's undergraduate population fits the description of a traditional student (Attewell and Lavin, 2007). Approximately seventy-five percent of college students are commuters (Recruitment and Retention in Higher Education, 2006). A commuter student is defined as one who does not live on campus (Recruitment and Retention in Higher Education, 2006), but attends the university from local and surrounding areas (Schibrowsky and Peltier, 1993). In today's competitive environment, it is essential to understand the needs, attitudes and opinions of the large group of the commuter students who ultimately pay many of the school's bills. Understanding group differences between the commuters and non-commuters is critical, as the commuter population nationwide continues to increase and universities are forced to compete for the patronage of these commuter students. Commuting and non-commuting students may be differentiated among three basic dimensions: (1) socioeconomic and demographic differences; (2) academic differences; and (3) non-school obligations and activities. In general, the commuter student's average age and standard deviation of ages tend to be higher than non-commuters. Commuter students are more apt to come from blue collar families with less income and educational background. These commuter students are also more likely to be first generation college students and be less academically prepared for college (Schibrowsky and Peltier, 1993). Many of these commuting students are likely to cycle in and out of college. They may postpone re-enrolling in college and work more hours, so that they can afford the next semester's tuition. Conversely, they may discontinue enrollment in order to take care of their family needs and obligations. For many commuting students, a college degree is something that must be fit into the rest of their life and not the other way around (Attewell and Lavin, 2007). Understanding the commuter student is becoming more and more important. Yet, their lives are becoming increasingly complex. Universities need to consider whether it makes sense for the commuting student to pay fees for programs that they will almost certainly never use. The commuter student is less likely to use the recreational center or attend a sporting event, but they still pay the fees. It is important to understand what is significant to the commuting student from the standpoint of tuition and fees. Additional issues that may differentiate commuters and noncommuters include their motivation to attend college, their support groups, how they spend their time, their involvement in school, and their attitudes towards the university. With this growing trend in commuting students expected to continue into the future, understanding the commuter student allows universities to better meet their needs (which is exactly what the marketing concept is all about). LITERATURE REVIEW University education becomes more productive and complete as students develop relationships with their peers and faculty (Astin, 1993; Astin, 1999). Being involved in the university is thought to have a positive effect on the learning experience (Rubin, 2000). For a commuter student, these relationships on campus and involvement in activities may be more complicated. …

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)0,007
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,019
Score d'incertitude au seuil0,063

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,007
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,001
Communication savante0,0030,002
Science ouverte0,0010,002
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0190,002

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 Opus0,246
Tête enseignante GPT0,448
Écart entre enseignants0,202 · 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'étudeObservationnel
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

Citations57
Publié2011
Routes d'admission1
Résumé présentoui

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