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3 Ways Technology Supports Ell Instruction: By Extending the Learning beyond Class Time, Scaffolding Instruction, and Personalizing Education, Technology Is Helping English Language Learners Succeed

2016· article· en· W2567839389 sur OpenAlexaboutno aff
Greg Thompson

Notice bibliographique

RevueT.H.E. Journal Technological Horizons in Education · 2016
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueEducation and Technology Integration
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésFluencyMathematics educationLiteracyClass (philosophy)Reading (process)PedagogyVocabularyPsychologyComputer scienceLinguisticsArtificial intelligence
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

[ILLUSTRATION OMITTED] THE WSLACO INDEPENDENT School District is located at the southern tip of Texas, only seven miles from the Mexican border, and 40 percent of its 18,000 students are English language learners. With so many Weslaco students beginning school without any exposure to English, Superintendent Ruben Alejandro knew he had to do something dramatic to move the needle on achievement. To meet the needs of these students, he has put together a comprehensive plan for ELL instruction--the centerpiece of which is an early literacy program that provides access to an online library of digital books for the entire Weslaco community. The initiative, called Zero to Three Weslaco Reads, is intended to develop early literacy skills among children before they even enter the school system--and to encourage students to continue reading as often as possible through elementary and middle We needed to do something to build English vocabulary and comprehension skills among our students as quickly as possible, Alejandro said. The challenges that Weslaco educators face aren't unique to that district. Nationwide, nearly four and a half million students participate in ELL programs, according to the United States Department of Education, and this number continues to rise. Here are three key ways that technology is improving instruction for English language learners in Weslaco and many other K-12 districts around the nation. Extending Learning Although basic conversational fluency typically occurs in one to two years, it often takes English language learners at least five years to catch up to native English speakers academically, said Jim Cummins, a University of Toronto professor and ELL expert. That's academic language is more complex and less accessible than conversational language, he said: It contains many low-frequency words that students find only in classrooms and in printed texts, rather than in conversation with their peers. Also, native English speakers continue to develop their proficiency with academic English as students who are learning English are trying to catch up. In essence, English language learners have to run faster, Cummins said, because they're trying to chase a moving target. Spending extra time developing English literacy skills during and outside school is essential to this process, said Cummins, who recommended that educators create more opportunities for what he calls engaged literacy--and technology can help by extending students' learning beyond the allotted class time. For instance, Weslaco's partnership with myON allows parents and students to download digital books from myON's library of more than 10,000 titles to any device for reading before, during or after About 70 percent of these titles are nonfiction, which helps students learn the vocabulary they'll need to support academic discourse. We saw this as a great opportunity to help students build their English literacy, Alejandro said. We wanted to expose them to the vocabulary they would need to be successful in school. In Nashville, TN, nearly 14,000 students (about 15 percent of the total student population) are English language learners who speak more than 130 different languages, said Kevin Stacy, ELL director for Metropolitan Nashville Public Schools. The district has outlined a $38 million plan to meet their instructional needs. As in Weslaco, the plan extends beyond students and out into the larger community--and technology plays a key role. Metro Nashville holds frequent community nights in which it hosts language and literacy programs for entire families, Stacy said. In addition, the district uses cloud-based software such as Imagine Learning and Achieve3000 to support English literacy instruction, so students can access the programs from home as well as …

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)0,002
score de la tête « metaresearch » (Gemma)0,004
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
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 enseignants0,735
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,003
Études des sciences et des technologies0,0020,002
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,010
Tête enseignante GPT0,292
Écart entre enseignants0,283 · 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
Publié2016
Routes d'admission1
Résumé présentoui

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