Active learning approaches to biology teaching, including simulation-based activities, are known to enhance student learning, especially of higher-order skills; nonetheless, there are still many open questions about what features of an activity promote optimal learning. Here we designed three versions of a simulation-based tutorial called…

Obtaining reliable and timely estimates of migration flows is critical for advancing the migration theory and guiding policy decisions, but it remains a challenge. Digital data provide granular information on time and space, but do not draw from representative samples of the population, leading to biased estimates. We propose a method for…

Game-based learning has emerged as a promising approach to enhance students' engagement and understanding in educational settings. This study investigates the effectiveness of integrating physics education technology (PhET) simulations as game-based learning tools in teaching physics concepts related tao equilibrium system. A quasi-experimental…

In this study, we assessed a highly structured, yearlong, case-based course designed for undergraduate pre-health students. We incorporated both content learning assessments and developed a novel method called Multiple Mini Exams for assessing course impact on the development of skills that professional schools often seek in pre-health students,…

The integration of Diversity, Equity and Inclusion (DEI) into healthcare professional training is critical in order to ensure positive patient outcomes and help combat healthcare disparities, leading towards health equity. There is not currently a standard specific to DEI awareness in healthcare education and training. One area of healthcare…

Measurement invariance (MI) is required for validly comparing latent constructs measured by multiple ordinal self-report items. Non-invariances may occur when disregarding (group differences in) an acquiescence response style (ARS; an agreeing tendency regardless of item content). If non-invariance results solely from neglecting ARS, one should…

Survey instruments and assessments are frequently used in many domains of social science. When the constructs that these assessments try to measure become multifaceted, multidimensional item response theory (MIRT) provides a unified framework and convenient statistical tool for item analysis, calibration, and scoring. However, the computational…

This qualitative descriptive study investigated the experiences and professional outcomes of novice registered nurses participating in professional development nursing simulations integrating worked examples, a cognitive load instructional design principle. Drawing upon cognitive load theory and the worked examples principle, the study addressed…

Developing empathy in teacher education is essential as it contributes to increased sensitivity and understanding between teachers and their students. This is especially important for preservice content-area teachers (PCTs) who may have limited linguistic awareness yet will be potentially teaching emergent multilinguals in their mainstream…

Nursing students faced learning losses during the COVID-19 pandemic due to the transition to virtual classes, inadequate communication, and reliance on virtual clinical training as a prerequisite for clinical practice. This study aimed to investigate the extent of learning loss experienced by nursing students and examine the impact of…

The author discusses how social scientists and psychologists in the late 1960s and early 1970s devised the board games Ghetto, Blacks & Whites, and El Barrio to teach students in college and high school about racism, racial segregation, and poverty in American society. But, he also argues, these games assumed that poor Black and Latino…

Researchers often study dynamic processes of latent variables in everyday life, such as the interplay of positive and negative affect over time. An intuitive approach is to first estimate the measurement model of the latent variables, then compute factor scores, and finally use these factor scores as observed scores in vector autoregressive…

Space exploration requires individuals who can think critically, adapt to uncertainty, and learn in cognitively complex environments. This paper examines how Human Systems Engineering (HSE) and cognitive design principles can enhance both astronaut training and STEM education on Earth. The same methodologies that help astronauts manage stress,…

Skills competency is important especially in vocational and technical education. Thus, the aim of this research was to develop the student conceptual knowledge and skills in electrical measuring device to equip the students the necessary skills to become competent and skilful Technologist/Technician. A mixed method data analysis was employed on…

Longitudinal data structures are frequently encountered in a variety of disciplines in the social and behavioral sciences. Growth curve modeling offers a highly extensible framework that allows for the exploration of rich hypotheses. However, owing to the presence of interrelated sources of potential data-model misfit at multiple levels, the…