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Enregistrement W1481796589

College Preparedness and Time of Learning Disability Identification.

2009· article· en· W1481796589 sur OpenAlexaboutno aff
Carla Abreu-Ellis, Jason Brent Ellis, Richard L. Hayes

Notice bibliographique

RevueJournal of developmental education · 2009
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueDisability Education and Employment
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLearning disabilityPreparednessPsychologyPostsecondary educationHigher educationMedical educationSpecial educationGerontologyMedicinePedagogyPsychiatry
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Murray, Goldstein, Nourse, and Edgar (2000) observed that high graduates with learning disabilities (L.D.) were significantly less likely to attend a postsecondary institution or to graduated from postsecondary programs throughout the first 10 years following high school (p. 119). However, research indicates that the number of students with learning disabilities attending postsecondary institutions is on the rise (Henderson, 2001; Ward 8c Merves, 2006). In addition, the number of adults returning to higher education is increasing (Schuetze 8c Slowey, 2002), and older students may have had a lesser chance of L.D. diagnosis in primary or secondary schools due to the lack of a consistent definition of learning disability.Annually since 1966, the Cooperative Institutional Research Program (CIRP) of the University of California, Los Angeles has administered a national survey to a large sample of 4-year college freshmen in the United States; one measure that appears every 4 years asks freshmen whether they have a disability (Ward 8c Merves, 2006). Among college freshmen with disabilities the most commonly identified category of disability was that of learning disabilities. Data indicated that 2.8% of all entering freshmen selfreported a learning disability (Ward & Merves). This is a relative increase in the number of students with learning disabilities attending college as compared to 2.4% in 2000, 2.6% in 1998, 2.3% in 1996, and 2.0% in 1994 (Henderson, 2001).In Canada, of those 16 to 21, slightly more than one person in 100 (1.1%) aged 16 to 21 said that they had a learning disability on the 2001 Participation and Activity Limitation Survey (PALS) (Learning Disabilities Association of Canada, 2007a, p. 1), and 15.4% of the national percentage reported attending university, with or a degree (Learning Disabilities Association of Canada, 2007a). There is a gap in the literature related to the enrollment rate of students with learning disabilities in Ontario colleges and universities, which is where the current study took place.Research indicates that students with learning disabilities may arrive on college campuses with slightly different characteristics than their peers learning disabilities, characteristics which may cause them to place into developmental courses. They are characterized as having higher levels of anxiety, taking less responsibility for their own learning, and having a lesser repertoire of learning and study (Kovack 8c Wilgosh, 1999). On the positive side, postsecondary students with learning disabilities can have a more positive attitude toward college success compared to their peers (Kovack & Wilgosh). Further, according to Kirby, Silvestri, Allingham, Parrila, and La Fave (2008), subsequent to applying the Learning and Study Strategies Inventory (LASSI) in Canada, students without dyslexia obtained significantly higher scores than students with dyslexia in their reported use of selecting main ideas and test taking strategies (p. 85).Although there have been noted discrepancies in the statistical significance of the content constructs of the LASSI (Cano, 2006), low LASSI scores have been shown to correlate with a lack of academic success. Proctor, Prevatt, Adams, Reaser, and Petscher (2006) compared three academically struggling groups of college students: (a) low GPA, (b) clinic-referred for L.D. testing, and (c) clinic-referred for psychoeducational testing. AU three groups displayed weaknesses in study skills relative to their comparison groups; that is, in comparison with students who were not struggling. Areas identified as weaknesses for all three groups included Anxiety, Concentration, Motivation, Selecting Main Ideas, and Test Strategies. Further Albaili (1997) observed that when comparing low, average, and high achieving college students based on their GPA scores, findings indicated that lowachieving students scored significantly lower than the average and high-achieving students on all the scales (p. …

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)0,001
score de la tête « metaresearch » (Gemma)0,014
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 enseignants0,035
Score d'incertitude au seuil0,118

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,014
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0020,000
Communication savante0,0030,002
Science ouverte0,0010,003
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0350,003

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 Opus0,018
Tête enseignante GPT0,334
Écart entre enseignants0,316 · 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

Citations22
Publié2009
Routes d'admission1
Résumé présentoui

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