Results 91 to 100 of about 146,510 (332)
Frontiers in Psychology, 2017 Language input is crucial for language acquisition and especially for children’s vocabulary size. Bilingual children receive reduced input in each of their languages, compared to monolinguals, and are reported to have smaller vocabularies, at least in ...
Karolina Mieszkowska +5 more
doaj +1 more source
Measuring Receptive Vocabulary Knowledge of Young Learners of English
, 2020 El conocimiento léxico constituye un hito en el lenguaje oral y escrito y es uno de los elementos esenciales en el aprendizaje de la lengua extranjera. A pesar de esta importancia, el proceso de la enseñanza y aprendizaje del vocabulario no recibe la debida atención en la didáctica de la L2.
Kavanoz, Suzan, Varol, Burcu
openaire +1 more source
Agribusiness, EarlyView.ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani +3 more
wiley +1 more source
Do you delve below the tip of the iceberg? Language for thinking and learning [PDF]
, 2017 What are the similarities between an iceberg and language and literacy? Usually only about 10% of an iceberg is above the surface; the shape of the underwater portion is difficult to judge and can cause problems for the unwary.
Lennox, Sandra
core +1 more source
The narrative coherence of witness transcripts in children on the autism spectrum [PDF]
, 2019 Background and Aims. Autistic children often recall fewer details about witnessed events than typically developing children (of comparable age and ability), although the information they recall is generally no less accurate.
Crane, L. +5 more
core +3 more sources
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Brazilian English Language Teaching Journal, 2015 Forty-six students majoring in business English volunteered to take part in an extensive reading program. The learners were divided into two groups: EG, the experimental group, received instruction in methods of extensive reading plus explicit output ...
Teng, Feng
doaj
Advanced Intelligent Discovery, EarlyView.Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher +4 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Acta Scientiarum: Language and Culture, 2013 Based on Involvement Load Hypothesis (LAUFER; HULSTIJN, 2001), current study examined the effect of involvement load and task type on vocabulary acquisition.
Abdullah Sarani +2 more
doaj +1 more source