Results 231 to 240 of about 25,611 (285)
Abstract This study examined how task design, task motivation, and learner engagement influenced L2 vocabulary learning by comparing learner‐generated content (LGC) and teacher‐generated content (TGC) in a classroom setting. One hundred sixty‐three Japanese high school students from five intact classes were assigned to LGC, TGC, or a test‐only control ...
Gaia Oikawa, Takumi Uchihara
wiley +1 more source
Leveraging GenAI for Automated Feedback on Source‐Based Writing: A Three‐Stage Model
Abstract Writing from multiple sources is a critical skill that requires both reading and writing abilities. It involves comprehending and evaluating source texts while synthesizing information across them. Due to these demands, feedback on such writing typically relies on teachers, who must consider the source texts during evaluation.
Danling Li, Kai Guo
wiley +1 more source
A Country That Never Sleeps? A Web Scrapping Analysis of the 24‐h Economy Policy in Ghana
ABSTRACT In light of revitalizing Ghana's economic landscape through sustainable job creation underpinned by 24‐h operations across all key sectors, the National Democratic Congress proposed the ‘24‐h economy’ policy proposal. This study employs the web‐scraping technique through text mining and python codes to analyse 1820 comments from Facebook, X ...
Pius Gamette +3 more
wiley +1 more source
Lesions Reveal Shared and Distinct Neurocognitive Bases of Oral Reading and Silent Word Recognition. [PDF]
Chang EHT +4 more
europepmc +1 more source
Clarity Without Credibility? Human Versus AI Abstracts in Otolaryngology
ABSTRACT Objective This study evaluated whether otolaryngologists can distinguish between human‐ and machine‐written abstracts. The primary question was whether large language models (LLMs) produce abstracts comparable in clarity and usefulness to human‐authored work, and whether reviewers can identify authorship with accuracy.
Sholem Hack +12 more
wiley +1 more source
Word frequency and contextual diversity measures for Singapore English. [PDF]
Jiang ZR, Siew CSQ.
europepmc +1 more source
Traumatic brain injury (TBI) remains a major cause of death and disability worldwide. Traditional classification based on the Glasgow Coma Scale (GCS) provides a shared clinical language but insufficiently captures the biological heterogeneity, imaging variability, and contextual modifiers that influence outcomes.
Ruben Peralta +6 more
wiley +1 more source
The effect of emotional valence on concrete and abstract words in L2 lexical processing among Chinese-English learners. [PDF]
Zhang Y, Zhang Z.
europepmc +1 more source
Adding volition to word processing: Expected utility norms for 80,000 English words and multiword expressions. [PDF]
Wang A, Brysbaert M, Günther F.
europepmc +1 more source

