566 papers
Using instrumental variables on French SHARE data to address endogeneity, this study demonstrates that both structural social support and family proximity have significant positive causal effects on the self-perceived health of adults aged 50 and older.
This study demonstrates that gender-based violence significantly drives high levels of public stigma and internalized shame among women and girls in Somalia's IDP camps, highlighting an urgent need for integrated interventions combining survivor-centered psychosocial care, community stigma reduction, and strengthened protection and livelihood support.
A mixed-methods study of secondary schools in Southern Ethiopia reveals that cluster supervision is currently ineffective and perceived as error-focused rather than supportive, highlighting an urgent need to shift toward collaborative, capacity-building approaches that align with teachers' professional development needs.
This study validates the Turkish adaptation of the Disaster Adaptation and Resilience Scale (DARS) through a methodological design involving 1,206 survivors, confirming its five-factor structure, high reliability, and suitability as a culturally appropriate tool for assessing post-disaster psychological resilience in Turkey.
Drawing on a systematic benchmarking of global and national guidelines, this paper proposes the Umm Al-Qura Responsible AI Framework (UQU-RAIF), the first comprehensive, implementation-ready policy from a Saudi university that unifies guidelines for faculty, students, and staff while integrating Islamic values, national data laws, and actionable tools to address the current lack of institutional AI governance in the region.
A survey of 1,444 US high school students reveals that AI appropriation involves complex, co-occurring learning and shortcut behaviors while frequent use correlates with reduced self-confidence and a widening reliance gap, suggesting that schools must move beyond general guidelines to provide targeted teacher-guided practice for effective AI reliance calibration.
This paper identifies critical gaps between syllabus intent and evidence-based design in Arabic teacher education at Universitas Islam Riau through a documentary audit and stakeholder validation, leading to the proposal of the Transformative Learning Integration Model (TLIM) to coordinate problem-based learning, self-regulated cycles, and AI within a transformative learning framework.
This paper presents a systematic review of grey literature and qualitative analysis revealing that intimate massage salons in Russia operate as a systemic shadow business exploiting vulnerable workers through a hierarchical structure, facilitated by legal ambiguities that hinder effective law enforcement and necessitate comprehensive legislative and social reforms.
This exploratory replication study demonstrates that Turkish EAP learners who engaged in four weeks of AI chatbot practice showed measurable improvements in oral fluency, reduced speaking anxiety, and increased learner independence, with acoustic and qualitative data suggesting early proceduralization of language skills and a shift toward more ambitious linguistic output.
This study employs cognitive-linguistic analysis to demonstrate how Gulf Arabic-speaking undergraduate students revise AI-generated essays on parental authority by selectively retaining, eliminating, or replacing metaphorical schemas to shift the conceptual framing from formative shaping toward guidance and conditional involvement, thereby revealing and mitigating potential cultural biases in generative AI.