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While designing personally meaningful activities with data technologies can support the development of data literacies, this paper aims to focuses on the overlooked aspect of how learners navigate tensions between personal experiences and data trends.

The authors report on an analysis of three student cases from a design study in which middle and high school youth assembled family migration stories using data visualization technologies with socioeconomic and demographic data. The authors used interaction analysis to examine how students responded to misalignments they encountered between their families’ experiences and data trends in their models, drawing on the theoretical construct of epistemic data agency.

This case analysis demonstrates ways in which students enacted epistemic data agency. Instructional support can help students deepen inquiry and avoid certain pitfalls, such as encoding data in unsound or misleading ways to support a particular story, while encouraging students to see themselves as an epistemic authority on par with data. This study opens pathways for future research that considers how data can shape personal narratives and how students can leverage their experiences in the stories they tell with data.

The authors introduce the construct of epistemic data agency to describe the conceptual and material practices that reveal and shape students’ relationships to the data. The descriptions of students enacting epistemic data agency in assembling data stories informs the understanding of how to better elevate and recognize students’ efforts in relation to disciplinary norms and support deeper, meaningful student learning with and about data.

This study aims to identify comfort food (CF) consumption and its associated factors during the pandemic period. The study also involves an online survey conducted five months after the quarantine started in Brazil.

Data on lifestyle, eating habits and anthropometric data were collected before and during the pandemic, and the differences in these habits were analyzed. Univariate and multivariate logistic regression models were performed to identify predictors of CF consumption by gender.

A total of 1,363 individuals were included in the sample, with a median age of 31 years old, of whom 80.3% were women. Since individuals were free to respond about the food consumed without predetermined categories, it was possible to carry out a faithful assessment of the occurrence of this behavior. At the same time, allowing the subjectivity and symbolism inherent to the concept of CF to be embraced. CF consumption was present for 54%, with “sweets” being the most mentioned group by both genders. The factors associated with CF consumption in women during the pandemic were increased snacking, increased bread, candies and alcoholic beverage intake, increased time spent at work, worsened sleep quality, reduced meals, perceived stress (PS), emotional eating (EE), age and increased frequency of meat intake. In men, the predictors for CF consumption were remote full-time work/study, PS, EE and early waking time. For both genders, CF consumption during the pandemic period was associated with PS and EE.

This study provides an important overview of the possible contributions of the pandemic on behaviors and food choices related to the consumption of CF in Brazilians. This information is valuable to support further studies to investigate and treat the impacts of the pandemic on lifestyle, eating habits and behavior, mental health and other factors in the postpandemic period.