Jurnal STAI Al-Hamidiyah
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Tackling the nuances of social accountability: Exploring the black box of teaching and learning experiences
According to the World Health Organization, academic institutions have “an obligation to direct their education, research, and service activities toward addressing the priority needs of the communities and populations they have a mandate to serve,” and as such, the integration of the values and aspirations espoused by the concept of social accountability in health. Health professions education (HPE) programs have increasingly oriented their educational practices toward experiences that prepare learners to actively engage in the betterment of society as future health professionals, thus leveraging education to help shape learners’ understanding of their responsibility and teach them the skills necessary to fulfill these obligations. While health professions education curricula are undergoing reform, learning related to social accountability remains a black box and little is known about how, or what educational approaches transform learners and the processes behind such transformative action. The topics and subject matter addressed, the curricular approaches taken, and the innovations produced are elements of practical knowledge that must be made accessible so that those facing similar challenges and issues can benefit.
This scoping review will address a critical knowledge-practice gap by synthesizing the existing literature reporting on the implementation of educational approaches in and by building on current strengths to advance curriculum development and implementation
Wind Turbine Noise Regulations
A repository of information on the regulation of wind turbine noise in different jurisdiction
Incremental processing of classifier-noun agreement by Mandarin-speaking toddlers: A real-time comprehension study
Scans and dataset from "Evolution of the syrinx of Apodiformes including the vocal-learning Trochilidae (Aves, Strisores)"
This project contains CT scan data for 19 bird specimens sampled in Legendre et al. (2024)
Simulating the impact of first responder communication strategies on citizen adherence in emergencies - Study 2
UKRI Future Leaders Fellowship aimed at understanding how and why members of the public respond to evacuation guidance in emergencies
Evaluating Loneliness Measurements across the European Union
Loneliness has been associated with several detrimental effects for individuals and societies, making it a priority for monitoring across the European Union. While many loneliness measures exist, notable gaps exist regarding knowledge of their psychometric structure, reliability, comparability, and validity, particularly as it pertains to their suitability for EU-wide population surveys. Relying on data from the EU Loneliness Survey covering the 27 EU member states (N=25,646), we examined the factor structure, internal consistency, measurement invariance, and construct validity of the six-item De Jong Gierveld Loneliness Scale (DJGLS-6), the three-item UCLA Loneliness Scale (T-ILS), and a single-item measure of loneliness. Our analyses followed a two-step process, with exploratory analyses conducted in an exploratory fold, followed by pre-registered confirmatory analyses in a confirmatory fold. The DJGLS-6 showed mixed psychometric performance across countries, with adequate internal consistency, limited cross-country invariance, and generally sufficient construct validity. The T-ILS showed more robust performance, with good internal consistency, scalar invariance across all countries, and sufficient construct validity in most countries. The single-item measure showed acceptable construct validity in a smaller subset of countries. Overall, these findings suggest that the T-ILS may currently be the most suitable measure for monitoring loneliness across the European Union. In addition, discrepancies between content-based categorizations of loneliness measures and empirical performance reveal limitations in current construct validation practices and a lack of consensus about key external correlates and their expected strength. Addressing these gaps will require more explicit theoretical models and clearer predictions linking loneliness measures to their nomological networks