Child environmental health (CEH) science has identified numerous effects of early life exposures to common, ubiquitous environmental toxicants. CEH scientists have documented the costs not only to individual children but also to population-level health effects of such exposures. Importantly, such risks are unequally distributed in the population,…

This study's innovative objective was to develop a personalised learning model to equate students' entry level knowledge as they entered the School of Medicine and Health Sciences at Tecnologico de Monterrey in Mexico in 2019. This was necessitated by a difference in the depth and approach to preparatory content. The methodology focused on…

Students of color, first-generation, and residents of communities experiencing disinvestment--who aspire to obtain meaningful postsecondary degrees, career success, financial security, and social mobility--face tremendous challenges in navigating science, technology, engineering, math, and health science (STEM-H) education and career sectors. The…

As implementation scientists know well, evaluating fidelity is essential for researchers and practitioners when making sure they implement a plan as intended. However, the concept of fidelity remains unclear, given that various conceptualizations exist within and across disciplines. To help researchers and practitioners understand fidelity, a…

The COVID-19 pandemic has led to an unprecedented shift in how health science education is delivered (Sandars et al., 2020). With face-to-face learning, such as lab and classroom interactions, largely unavailable during the pandemic, institutions have been required to quickly shift the learning environment to a fully virtual format. While…

The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…