566 papers
Drawing on ethnographic and oral history methods, this article argues that social cohesion in rural Northeast Brazil is a dynamic, performative process sustained through religious rituals, reciprocal labor systems, and shared moral economies that foster cooperation, intergenerational continuity, and a sense of territorial belonging.
Although lecturers in Nigerian universities perceive machine learning interventions as effective for early identifying learning difficulties and enhancing academic engagement among students with intellectual disabilities, their actual usage remains low due to insufficient training and infrastructure, highlighting a critical gap between perceived value and practical implementation.
This mixed-methods study of 250 child–parent dyads in Greater Cairo reveals how Egyptian children aged 8 to 12 utilize generative AI for diverse purposes ranging from education to religious inquiry, while their parents employ culturally and religiously specific mediation strategies that extend beyond traditional frameworks to navigate the technology's moral and social implications within an Arab-Muslim context.
This study utilizes a mixed-methods approach to analyze Indonesian university websites, revealing that AI personalization is the strongest predictor of user satisfaction and that domestic and international users share consistent perceptions, thereby offering strategic insights for enhancing digital presence and global recruitment.
This study demonstrates that pediatric pain anxiety is better conceptualized as a network of mutually reinforcing symptoms rather than a single latent trait, revealing that a network model outperforms traditional factor models in fit and clinical utility while highlighting the necessity of contextualized interpretation across clinical and community populations.
This study utilizes network analysis on 306 married Saudi adults to reveal that emotional hurt is the central driver of marital loneliness, which weakly connects to AI attachment through social substitution, suggesting that therapeutic efforts should prioritize repairing emotional wounds within the marriage rather than directly targeting AI use.
This study investigated whether social support, neuroticism, age at the time of loss, or relationship duration predict unusual sensory experiences following sudden relationship loss, finding no significant correlations with these variables but identifying a significant link with gender, thereby suggesting future research should categorize specific types of relationship loss to improve mental health interventions.
This mixed-methods study demonstrates that while AI-supported microteaching significantly accelerates preservice teachers' digital pedagogical competence and TPACK development, its effectiveness is critically mediated by factors such as temporal optimization, peer collaboration, and disciplinary background, necessitating a hybrid curriculum where human mentors guide the translation of AI analytics into instructional practice.
This paper synthesizes fragmented literature on the transition from reactive generative AI to proactive agentic AI in higher education to identify key instructional, agency, and governance tensions, culminating in the development of the AIRA-G framework to guide institutional readiness and accountability.
This study investigates the impact of gamification on university students' emotions during LMS interaction and finds that while gamification did not significantly alter the duration or frequency of basic emotional states, it did influence distinct patterns of emotional transitions, such as shifting from anger to happiness.