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Enregistrement W1555103619

The Expert Knowledge of University Graduate Students with Learning Disabilities: A Policy and Service Analysis

2010· dissertation· en· W1555103619 sur OpenAlexaboutno aff
Sarah Teichman

Notice bibliographique

RevueMacSphere (McMaster University) · 2010
Typedissertation
Langueen
DomaineSocial Sciences
ThématiqueHigher Education Learning Practices
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedical educationLearning disabilityService (business)Graduate educationMathematics educationService-learningPsychologyPedagogyMedicineBusiness
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The narratives of university graduate students with learning disabilities (LDs) are for the most part absent in the development of a life course perspective and analysis of LDs, yet an in depth qualitative study of individual stories and experiences with schooling or transition from high school to post-secondary education at this age can inform what we know about employment rates, income, and other markers of adult adjustment in the context of LDs. An insider perspective of this group may help to uncover patterns of discrimination in the dispersal of resources that lead to lower educational attainment and socioeconomic status and mental health problems, as is seen in this group. Specifically, this thesis aims to examine two research questions: a) What are the experiences of graduate students with LDs in a university setting?; and b) What are the implications of such experiences for policy and services for this group? I am interested in exploring the unique narratives amongst graduate students with learning disabilities from their own perspectives and understanding the implementations of such policies as the AODA (Accessibility for Ontarians with Disabilities Act) in light of these students' experiences. Two female graduate students from two different universities in the south-western Ontario area were interviewed using open ended questions. Literature of empirical studies was compared to the spirit of our government legislation for analysis of its potential effectiveness at ensuring equal opportunity for this group. The undergraduate experiences of the participants in this study are consistent with international literature on undergraduate experiences, adding to data that suggests that individuals with LDs who manage to gain admission to a postsecondary institution continue to be subjected to disparaging attitudes and interactions similar to the ones they endured as children. The attitudes of teachers and staff betrayed ignorance of facts regarding LDs, leading to judgments such as that they are intellectually inferior, lazy, and unworthy of attention or of accommodations that are their legal right. Participants discussed their more recent graduate experiences, the context of which sometimes differed in noteworthy ways from that of their undergraduate experiences. As graduate students they emphasized their belief that the most worrisome and discriminatory experiences were those related to unreasonable delays in the provision of accommodations, the delivery of financial aid, and the delivery of technological aids. This included problems such as vague, complicated, and excessively time consuming rules and processes, as well as rules that seem to be structured so as to disqualify individuals with LDs from receiving resources or help, rather than, as might reasonably be hoped, identifying those who should be granted help, and policies and procedures that work to create a substantially larger financial burden. It is suggested that the AODA has not been effective as a tool for disseminating truth and knowledge and eradicating discrimination against individuals with LDs, and that interactions with individual staff members may not only evidence the discriminatory beliefs of that individual, but of the system or department that he or she represents as well. Suggested changes include: mandatory education and awareness training for post secondary instructors; the implementation of Universal Design of Instruction and needed infrastructure; and the implementation of clear procedures and penalties for non compliance that do not place the onus on the student to report incidents or secure and provide proof.

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)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,583
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,003
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

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 Opus0,025
Tête enseignante GPT0,328
Écart entre enseignants0,302 · 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'étudeQualitatif
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2010
Routes d'admission1
Résumé présentoui

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