Results 181 to 190 of about 12,131 (263)

Incidental Acquisition of Multiword Expressions Through Repeated Viewing: Sequential Use of L1 and L2 Captions

open access: yesTESOL Quarterly, EarlyView.
Abstract Repeated viewing is reportedly a common learning and pedagogical strategy among autonomous second language (L2) learners and language teachers. This experimental study examined the extent to which sequential captioning use facilitates the acquisition of multiword expressions (MWEs) through repeated viewing under incidental learning conditions.
Kenneth W. Y. Li, Yaxin Ni
wiley   +1 more source

Learner Engagement in L2 Vocabulary Learning through Communicative Tasks: Comparing Learner‐ and Teacher‐Generated Content

open access: yesTESOL Quarterly, EarlyView.
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

BadDomains: Early Detection of Phishing Domains Registration. [PDF]

open access: yesSensors (Basel)
Seweryn K   +2 more
europepmc   +1 more source

A Country That Never Sleeps? A Web Scrapping Analysis of the 24‐h Economy Policy in Ghana

open access: yesThunderbird International Business Review, EarlyView.
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

Clarity Without Credibility? Human Versus AI Abstracts in Otolaryngology

open access: yesWorld Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
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

From Ambiguous Queries to Verifiable Insights: A Task‐Driven Framework for LLM‐Powered SOC Analysis⋆

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Security operations centre (SOC) analysts must investigate alerts, correlate threat intelligence and interpret heterogeneous telemetry under tight timing constraints. Although large language models (LLMs) offer strong understanding capabilities, directly applying them to SOC environments remains challenging due to semantic ambiguity in analyst
Huan Zhang   +5 more
wiley   +1 more source

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