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Enregistrement W7055218153

Challenges faced by program administrators when training international genetic counseling students

2018· dissertation· en· W7055218153 sur OpenAlexaboutno aff

Notice bibliographique

RevueCSUN ScholarWorks (California State University, Northridge) · 2018
Typedissertation
Langueen
DomainePhysics and Astronomy
ThématiqueMagnetic confinement fusion research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAccreditationGenetic counselingTraining (meteorology)Cultural diversityDiversity (politics)Cultural competenceHealth carePopulation
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The effect of globalization has resulted in a diverse population of patients that healthcare professionals treat today, and this has led to challenges in the fields of nursing, psychology, and other healthcare professions. Genetic Counseling is faced with similar challenges and these can be countered by increasing diversity and cultural sensitivity in the profession. One potential but not the only method is to increase the presence of international students in the genetic counseling programs. Studies in the past have looked at the issues and challenges faced by students in fields such as genetic counseling, nursing, and clinical psychology. These studies acknowledge the benefits of having international students in the training program as they increase the cultural awareness of the training program and in turn the profession. On the other hand, cultural differences and communication challenges add to the complexity of training international students in healthcare professions. This study aims to look at the previously unexplored side of the program administrators, and assess their perspectives on the training of the international genetic counseling students. Aims: 1. Identify themes that describe the experiences of program administrators and clinical supervisors while training international students.2. Develop recommendations to help program administrators and international students to prepare for these challenges and increase their success in the training program. Methods: For the purposes of this study, participants were supposed to be Program Administrators of Masters level genetic counseling programs accredited by the Accreditation Council for Genetic Counseling (ACGC) and located in the United States and Canada for at least 6 months. In the context of this study, international students are students or applicants who are not from the United States or Canada. A semi-structured interview guide was developed. All the Program administrators were contacted by sending out an email through the Association of Genetic Counseling Program Directors (AGCPD) listserv. These semi-structured interviews were transcribed verbatim and analyzed to identify emerging themes. Results and Conclusions: It was found that about 5-10% of the applicant pool applying to the genetic counseling training programs is international. The data generated from the interviews were organized into four categories: 1) Motivation to accept international students, 2) Application and admissions process, 3) Challenges during training, and 4) Experiences post-graduation. The Program administrators identified that international students take more time and effort when they are a part of the cohort. Assessing international applicants for a position in the genetic counseling programs is time-consuming. Even though the overall assessments employed for these applicants are the same as those employed for domestic students, international applicants need to be assessed on a much deeper level to ensure the success of the students and the program. Most challenges encountered during the training of these students arise due to differences in the previous education system, lack of language proficiency, unfamiliarity with the healthcare system and cultural differences. Despite facing these challenges, the overarching sentiment has been that having an international student in the classroom is rewarding and worth the time.

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)0,000
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 consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,976
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0020,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0260,000

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 Opus0,020
Tête enseignante GPT0,287
Écart entre enseignants0,267 · 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 tête enseignante, pas un consensus.

Devis d'étudeAutre devis
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
Publié2018
Routes d'admission1
Résumé présentoui

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