Results 161 to 170 of about 147,317 (278)
Seeing both sides: detailing the experiences of Black women mental healthcare workers serving Black youth. [PDF]
Fante-Coleman T +4 more
europepmc +1 more source
Attention to text in video predicts young children's orthographic knowledge
Abstract Background and Aims This study examined preschool‐aged children's attention to text in video, and whether it may be related to their developing orthographic knowledge. Sample 1 Study 1 showed 66 children videos that included text. Method Children's attention to the video was measured using eye‐tracking, and their recognition of orthographic ...
Tanya Kaefer, Susan B. Neuman
wiley +1 more source
Oral and Oropharyngeal Cancer Mortality in Brazil: Estimates and Projections up to 2042. [PDF]
Chisini LA +4 more
europepmc +1 more source
Abstract Background Many words have multiple meanings, which present challenges to learning, yet research has yet to identify effective interventions for homonyms. Lexical inference may be a promising strategy. Aim To evaluate a brief, novel lexical inference intervention for homonyms. Samples Children aged 7–8 years (Study 1: N = 180, Study 2: N = 76).
Sophie A. Booton +4 more
wiley +1 more source
qlifetable: An R package for constructing quarterly life tables. [PDF]
Pavía JM, Lledó J.
europepmc +1 more source
Supporting learner agency in collaborative writing with generative AI
Abstract To support learner agency in LLM‐powered writing environments, this research introduces a new interface that integrates two key features: an Argument Outline and a Similarity Viewer. These features were designed to enhance intentionality in writing and self‐monitoring of reliance on AI‐generated suggestions.
Sujin Kim, Hyo‐Jeong So, Kyudong Park
wiley +1 more source
Disease accumulation across birth cohorts in South Korea. [PDF]
Lam A, Keenan K, Myrskylä M, Kulu H.
europepmc +1 more source
Fraud Claims Filed Involving Practicing Ophthalmologists from 1985 Through 2020. [PDF]
Sharma M +4 more
europepmc +1 more source
Abstract Explainable AI (XAI) methods provide explanations of AI models, but our understanding of how they compare with human explanations remains limited. Here, we examined human participants' attention strategies when classifying images and when explaining how they classified the images through eye‐tracking and compared their attention strategies ...
Ruoxi Qi +4 more
wiley +1 more source
Modeling the temporal prevalence peak drift of chronic diseases. [PDF]
Rodenkirchen J, Hoyer A, Brinks R.
europepmc +1 more source

