Results 261 to 270 of about 1,110,211 (336)
Abstract This study investigated how repeating a video‐lecture‐based task affects second language (L2) learners’ processing and incidental acquisition of technical vocabulary as well as the relationship between processing and lexical gains. The participants were 75 Chinese learners of L2 English.
Danni Shi+2 more
wiley +1 more source
User Experience With a Personalized mHealth Service for Physical Activity Promotion in University Students: Mixed Methods Study. [PDF]
Wittmar S+6 more
europepmc +1 more source
Incidental Vocabulary Acquisition Through Captioned Viewing: A Meta‐Analysis
Abstract Second language (L2) viewing with captions (i.e., L2 on‐screen text) is now a proliferating as well as promising area of L2 acquisition research. The goal of the present meta‐analysis was to examine (a) the relationship between captioned viewing and incidental vocabulary learning and (b) what variables related to learners, treatment ...
Satsuki Kurokawa+2 more
wiley +1 more source
Abstract Background Generative Artificial Intelligence (GenAI) is increasingly integrated into health professions education (HPE), offering new opportunities for student learning. However, current research lacks a comprehensive understanding of how HPE students actually use GenAI in practice.
Thai Duong Pham+6 more
wiley +1 more source
Simulation of film transmission path based on ant colony optimization algorithm. [PDF]
Wang Y.
europepmc +1 more source
Abstract Purpose Despite Point‐of‐Care Ultrasound (PoCUS) emerging as an essential clinical skill, evidence regarding practitioners' knowledge retention and competence remains poorly synthesized. This systematic review sought to evaluate PoCUS competency retention patterns using the Indication, Acquisition, Interpretation, Medical decision‐making (I ...
Liang‐Wei Wang+7 more
wiley +1 more source
Zero‐shot framework for construction equipment task monitoring
Abstract Vision‐based monitoring of construction equipment is limited in scalability due to the high resource demands of collecting and labeling large datasets across diverse environments. This study proposes a framework that employs Zero‐Shot Learning (ZSL) and Multimodal Large Language Model (MLLM) to recognize construction equipment tasks from video
Jaewon Jeoung+2 more
wiley +1 more source