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Enregistrement W3205059467 · doi:10.60059/spl.2021.1.18-37

Ранна диагностика на детското езиково развитие и превенция на нарушенията на писмения език

2025· article· bg· W3205059467 sur OpenAlexaboutno aff
Теодора Яръмова, Цветанка Ценова

Notice bibliographique

RevueСпециална педагогика и логопедия · 2025
Typearticle
Languebg
DomaineArts and Humanities
ThématiqueLinguistics, Language Diversity, and Identity
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPolitical science

Résumé

récupéré en direct d'OpenAlex

Със статията се прави опит за обобщение на резултати от изследване, които сочат възможността ненормативните прояви във функционирането на устния език в горна предучилищна възраст да са надежден предиктор с прогностична стойност за бъдещи затруднения в овладяването на писмения език. Проучване на устния език на 100 деца във възрастта 6-7 години показва водещата предикативна роля на експресивния езиков дефицит. Проспективната оценка на езиковото развитие и разпознаването още в предучилищна възраст на предикторите, сочещи бъдещи затруднения при ограмотяване, са необходими условия за превенция, своевременна терапия и намаляване проявите на специфичните нарушения на писмения език и ученето. Библиография: Атанасова-Трифонова, М., Атанасов, Д., Пенева, Л., Андонова, Е., Мутафчиева, М., Колчева, Н. (2014). Скрининг тест за тригодишни деца. Ръководство. София: Булвест 2000. Тодорова, Е. (2005). Диагностика на езиков дефицит при дислексия, част I. София: Логопедичен център Ромел. Тодорова, Е. (2013). Дислексия. https://www.facebook.com/dyslexia.kids/posts/2077721382263637. Тодорова, Е. (2016). Дислексия: Специфични нарушения на способността за учене. София: УИ Нов български университет. Ценова, Ц. (2011). Норми за правилно писане и скрининг на признаци за дислексия при учениците от ІІ, ІІІ и ІV клас – Дисертационен труд. Софийски Университет „Св. Климент Охридски“(България). http://digilib.nalis.bg/xmlui/handle/nls/2842. Ценова, Ц. (2019). Логопедия: Описание, диагностика и терапия на комуникативните нарушения. София: УИ „Св. Климент Охридски“. Ценова, Ц. (2020а). Дискусионни аспекти на взаимовръзката между нарушенията на устния и на писмения език. Специална педагогика и логопедия, 1(2020), 61-74. Ценова, Ц. (2020b). Предиктори за дислексия на развитието. Годишник на СУ, ФНОИ, том 113, ред. Коларова, Ц. и кол., София: УИ „Св. Климент Охридски”, (под печат). Якимова, Р. (2009). Нарушения на писмената реч: Практическо ръководство за корекция (2-ро издание). София: Логопедичен център Ромел. Aaron, P. (1991). Can reading disabilities be diagnosed without using intelligence tests? Journal of Learning Disabilities, 24(3), 178-186, 191. Adlof, S., Hogan, T. (2018). Understanding Dyslexia in the Context of Developmental Language Disorders. Language, Speech, and Hearing Services in Schools, 49(4), 762-73. Boets, B., Op de Beeck, H., Vandermosten, M., Scott, S., Gillebert, C., Mantini, D. & Ghesquiеre, P. (2013). Intact but less accessible phonetic representations in adults with dyslexia. Science, 342(6163), 1251-1254. doi: 10.1126/science.1244333 Carroll, J., Mundy, I., & Cunningham, A. (2014). The roles of family history of dyslexia, language, speech production and phonological processing in predicting literacy progress. Developmental Science, 17(5), 727-742. doi: 10.1126/science.1244333 Deacon, S., Parrila, R., & Kirby, J. (2008). A review of the evidence on morphological processing in dyslexics and poor readers: A strength or weakness? In G. Reid, A. Fawceti, F. Manis, L. Siegel (Eds.), The Sage handbook of dyslexia (pp. 212-237). London: Sage. Denckla, M. (1972). Clinical syndromes in learning disabilities: The case for "splitting" vs. "lumping". Journal of Learning Disabilities, 5(7), 401-406. Deuster, D., Zehnhoff-Dinnesen, A., Schmidt, C.-M., Matulat, P., Huebner, J., Reichmuth, K., Fiori. A., & Knief, A. (2008). Development and evaluation of the new module ‘communication disorders’ in medical education. Journal Medical Teacher, 30(8), e225-e231. https://www.tandfonline.com/doi/pdf/10.1080/01421590802216225 DSM-V. (2013). Diagnostic and Statistical Manual of Mental Disorders – 5th Edition. Washington, DC: American Psychiatric Association. https://books.google.bg/books?hl=bg&lr=&id=-JivBAAAQBAJ&oi=fnd&pg=PT18&ots=ceWK-7JKvd&sig=arYpqTLny50TDal-fLJnN68aci8&redir_esc=y#v=onepage&q&f=false Duff, F., Reen, G., Plunkett, K., & Nation, K. (2015). Do infant vocabulary skills predict school-age language and literacy outcomes? Journal of Child Psychology and Psychiatry, 56(8), 848-56. https://acamh.onlinelibrary.wiley.com/doi/epdf/10.1111/jcpp.12378 Hessler, G. L. (2001). Who is really learning disabled? In R. Sornson & B. Sornson (Ed.), Preventing early learning failure (pp. 21-36). Virginia USA: ASCD Alexandria. ICD-10. (2008). International Statistical Classification of Diseases and Related Health Problems – 10th Revision, Version: 2019. Geneva: World Health Organization. https://icd.who.int/en Gathercole, S., Alloway, T., Willis, C., & Adams, A.-M. (2006). Working memory in children with reading disabilities. Journal of Experimental Child Psychology, 93(3), 265-281. https://dspace.stir.ac.uk/bitstream/1893/799/1/GathercoleJECP.pdf Loukusa, S., Makinen, L., Kuusikko-Gauffin, S., Ebeling, H., Moilanen, I. (2014). Theory of mind and emotion recognition skills in children with specific language impairment, autism spectrum disorder and typical development: group differences and connection to knowledge of grammatical morphology, word-finding abilities and verbal working memory. International Journal of Language and Communication Disorders, 49(4), 498-507, doi: 10.1111/1460-6984.12091 Lovett, M., Frijters, J., Wolf, M., Steinbach, K., Sevcik, R., & Morris, R. (2017). Early intervention for children at risk for reading disabilities: The impact of grade at intervention and individual differences on intervention outcomes. Journal of Educational Psychology, 109(7), 889-914. doi: 10.1037/edu0000181 Lyytinen, H., Erskine, J., Hamalainen, J., Torppa, M., & Ronimus, M. (2015). Dyslexia – Early Identification and Prevention: Highlights from the Jyvaskyla Longitudinal Study of Dyslexia. Journal Current Developmental Disorders Reports, 2(4), 330-338. doi: 10.1007/s40474-015-0067-1 Miles, T. (1983). Dyslexia. Springfield, Illinois: Charles C. Thomas Publishers. Olson, R. (2002). Dyslexia: nature and nurture. Dyslexia, 8(3), 143-159. doi: 10.1002/dys.228 Pennington, B. (2006). From single to multiple deficit models of developmental disorders. Cognition, 101(2), 385-413. doi: 10.1016/j.cognition.2006.04.008 Rutter, M., Caspi, A., Fergusson, D., Horwood, L., Goodman, R., Maughan, B., Moffitt, T., Meltzer, H., & Carroll, J. (2004). Sex differences in developmental reading disability: new findings from 4 epidemiological studies. Journal оf the American Medical Association, 291(16), 2007-2012. doi: 10.1001/jama.291.16.2007 Scarborough, H. (1990). Very early language deficits in dyslexic children. Child Development, 61(6), 1728-1743. doi: 10.1111/j.1467-8624.1990.tb03562.x Scarborough, H. (2005). Developmental Relationship Between Language and Reading: Reconciling a Beautifil Hypothesis With Some Ugly Facts. In H. Catts & A. Kamhi (Eds.), The Conection Between Language And Reading Disabilities (pp. 3-22). New Jersey, London: Lawrence Erlbaum Associates Publishers. Schumacher, J., Hoffmann, P., Schmаl, C., Schulte‐Kоrne, G., & Nоthen, M. (2007). Genetics of dyslexia: the evolving landscape. Journal of Medical Genetics, 44(5), 289-297. Scott, C., & Windsor, J. (2000). General language performance measures in spoken and written narrative and expository discourse of school-age children with language learning disabilities. Journal of Speech, Language, and Hearing Research, 43(2), 324-339, doi: 10.1044/jslhr.4302.324 Storch, S., Whitehurst, G. (2002). Oral language and code-related precursors to reading: Evidence from a longitudinal structural model. Developmental Psychology, 38(6), 934-47. Teale, W. & Sulzby, E. (Eds.) (1986). Emergent literacy: Writing and reading. N Jersey: Ablex. Thompson, P., Hulme, C., Nash, H., Hayiou-Thomas, E. & Snowling, M. (2015). Developmental dyslexia: predicting individual risk. Journal of Child Psychology and Psychiatry, 56(9), 976-987, doi: 10.1111/jcpp.12412 Timler, G., Vogler-Elias, D., McGill, K. (2007). Strategies for Promoting Generalization of Social Communication Skills in Preschoolers and School-aged Children. Topics in Language Disorders, 27(2), 167-181, doi: 10.1097/01.TLD.0000269931.18881.90 Townend, J. & Turner, M. (Eds) (1999). Dyslexia in Practice: A Guide for Teachers. New York: Kluwer Academic/Plenum Publishers. Troia, G. (2011). How Might Pragmatic Language Skills Affect the Written Expression of Students with Language Learning Disabilities? Topics in Language Disorders, 31(1), 40-53, doi: 10.1097/TLD.0b013e31820a0b71 Wanzek, J., & Vaughn, S. (2007). Research-based implications from extensive early reading interventions. School Psychology Review, 36(4), 541-561.

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)0,006
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,041
Score d'incertitude au seuil0,138

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,006
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0030,002
Études des sciences et des technologies0,0040,006
Communication savante0,0110,006
Science ouverte0,0010,004
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0410,017

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 Opus0,009
Tête enseignante GPT0,236
Écart entre enseignants0,227 · 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'étudeSans objet
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
Publié2025
Routes d'admission1
Résumé présentoui

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