Different hunting grounds: American Indian tribal college student perceptions of predominantly white institutions
Notice bibliographique
Résumé
American Indian students who have attended tribal colleges have expressed gratitude, appreciation and pride in their educational and cultural experiences at these institutions. Most of the 37 tribal colleges and universities (TCUs) in the US and Canada currently offer two-year degree and certificate programs. Many American Indian students who wish to continue onto a bachelor degree program from a two-year TCU consider transferring to a predominantly white institution (PWI). This qualitative study was meant to better understand the perceptions that American Indian TCU students have of PWIs and what these students believe would be helpful for them to both transfer and succeed at a predominantly white four-year institution. A phenomenological qualitative study was chosen to better understand the perceptions of PWIs and the needs related to attendance at a PWI by American Indian TCU students. Fifteen American Indian TCU students were interviewed at six TCUs in the state of Montana. There were two research questions that were used to guide this study, the first was what are American Indian TCU student perceptions of predominantly white institutions? The second was how do American Indian TCU students believe PWIs can better assist and support American Indian students who desire to matriculate to a PWI? Although a qualitative phenomenological research approach was chosen to approach the research questions and potential answers to those questions, my research was heavily focused on appropriately utilizing Indigenous research methodology in all areas of this study. It was of paramount importance for me as an Indigenous researcher to be responsible, respectful, reciprocal and relevant in all the relationships that were both enriched and created in this research endeavor. The stories shared with me from 15 American Indian TCU students resulted in six themes emerging from their collective interviews. Those themes were 1.) family and community, 2.) acceptance and acknowledgement of cultural identity, 3.) PWI support and excitement for new opportunities, 4.) TCU love/pride, 5.) Fear and isolation and 6.) Humor and relationships. The findings for this research have significant implications for all those interested in working with and for American Indian students, specifically for PWIs and their constituents.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,008 | 0,002 |
| Communication savante | 0,000 | 0,002 |
| Science ouverte | 0,003 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».