Digital inequality, faculty communication, and remote learning experiences during the COVID-19 pandemic: A survey of U.S. undergraduates.

AIMS: The COVID-19 pandemic forced closure of most U.S. university campuses in March 2020, obliging millions of students to finish their semesters via remote learning. This study examines whether and how students' prior and current experiences of digital inequality-defined as constrained access to the internet and internet-connecting devices-were associated with their remote learning experiences. METHOD: An anonymous, online survey of 2,913 undergraduate college students from 30 U.S. universities completing their spring term remotely was conducted between April and May 2020. Hypothesis testing utilized a structural equation model with cluster-bootstrapped standard errors and p-values, to account for students being clustered by university. RESULTS: Findings revealed that students' challenges with internet connectivity and digital devices during remote learning were associated with lower remote learning proficiency (RLP). Difficulty communicating with professors and teaching assistants was also associated with lower RLP. Prior experience with online coursework was associated with higher RLP, and digital inequality challenges during the year prior to the pandemic with lower RLP. Moreover, students who reported greater financial hardship since the start of the pandemic experienced significantly more connectivity, device, and faculty communication challenges during remote learning, and had significantly lower RLP. CONCLUSIONS: Many students will continue to learn remotely in some form until the pandemic recedes. We identify key factors associated with students' remote learning proficiency: (1) consistent, high-speed internet connectivity and functioning devices to connect to it, and (2) the ability to relate to and communicate easily with professors and teaching assistants. This study identifies potential barriers to effective remote learning, as well as possible opportunities to improve students' experiences.

Digital Inequality and Developmental Trajectories of Low-income, Immigrant, and Minority Children.

Children growing up in the United States today are more ethnically and racially diverse than at any time in the nation's history. Because of rising income inequality, almost half of the 72 million children in the United States are also growing up in low-income families, with immigrant and children of color disproportionately likely to be within their ranks. Children in low-income households are more likely to face a number of social challenges, including constrained access to the Internet and devices that connect to it (ie, digital inequality), which can exacerbate other, more entrenched disparities between them and their more privileged counterparts. Although the American Academy of Pediatrics' new guidelines encourage clinicians to reduce children's overexposure to technology, we argue for a more nuanced approach that also considers how digital inequality can reduce low-income children's access to a range of social opportunities. We review previous research on how digital inequality affects children's learning and development and identify areas where more research is needed on how digital inequality relates to specific aspects of children's developmental trajectories, and to identify what interventions at the family, school, and community levels can mitigate the adverse effects of digital inequality as children move through their formal schooling. On the basis of the evidence to date, we conclude with guidelines for clinicians related to supporting digital connectivity and more equitable access to social opportunity for the increasingly diverse population of children growing up in the United States.

Communication resources for obesity prevention among African American and Latino residents in an urban neighborhood.

African Americans and Latinos are at disproportionately high risk for obesity and for the chronic conditions and diseases associated with it. This study uses communication infrastructure theory to explore how connections to neighborhood communication resources and communication with family members can affect residents' regular exercise and healthy eating behaviors-two of the most direct strategies for achieving or maintaining a healthy weight. Regression analyses revealed that connections to the neighborhood storytelling network and family interaction predicted residents' regular exercise and that family interaction had the strongest effect on the likelihood of exercising regularly. Family interaction was the only independent variable that predicted residents' daily intake of fruits and vegetables. Implications of these findings for community health programs and theory development are discussed.