3179 papers
This paper details how the authors achieved top performance in the Predicting Fertility data challenge by employing two data engineering strategies—time-shift data augmentation to increase sample size and partner linkage to expand feature sets—demonstrating their effectiveness for optimizing machine learning on tabular social science datasets.
This cross-sectional study of Chinese vocational health students found a strong positive association between perceived school support and self-reported digital civic responsibility, though the authors caution that common method bias and poor discriminant validity likely inflate this correlation, rendering the findings hypothesis-generating rather than causal.
Using nationally representative data from India's Longitudinal Ageing Study, this paper identifies that life satisfaction among older adults is significantly shaped by a combination of socioeconomic status, family structure, and health factors, highlighting the need for multi-dimensional policies to address well-being disparities.
This study introduces the Consistency Quotient (CQ) to demonstrate that while experienced teachers generally produce more conceptually and structurally coherent AI-generated educational content than novices, significant individual variability and the effectiveness of structured prompt engineering challenge deterministic assumptions about professional experience, highlighting the critical role of AI literacy and pedagogical knowledge in optimizing teacher-AI collaboration.
This study of 303 Chinese design students reveals that the educational impact of Generative AI depends less on the breadth of its workflow integration and more on students' reaffirmation of disciplinary value and professional agency, which are critical drivers of learning engagement and responsible-use intentions.
This study reveals that while Open Educational Resources offer significant potential to enhance mathematics pedagogy in Nepal through visualization and professional growth, their effective implementation is currently hindered by critical infrastructural deficits, language barriers, and a lack of localized curriculum alignment.
This study utilizes Structural Equation Modeling on 366 biology students to demonstrate that while ChatGPT usage and learning content positively influence learning motivation, digital competence acts as a critical moderator that enhances the effectiveness of content and determines the extent to which ChatGPT contributes to student engagement.
This study employs a systematic approach using the INFORMAS Food-EPI framework to map the distribution of legislative powers across EU, federal, state, and municipal levels for food policies in Germany, revealing a complex multilevel governance structure that is crucial for designing effective implementation strategies.
This study on Pashto-speaking adult English learners finds that their mastery of English articles improves monotonically with advancing proficiency, thereby supporting the continuity model of cognitive development while contradicting the U-shaped learning theory.
This studio-based research investigates how upcycled art, grounded in Eco-aesthetics and transformative learning theories, can serve as a pragmatic intervention to mitigate the adverse impacts of solid waste in Jamestown's urban and consumerist culture by unifying aesthetic values with sustainability to drive sociocultural transformation.