Taking on an agentic perspective, this study employed a digital ethnographic approach to examine a science teacher's emotional experiences in an online graduate science education course during the COVID-19 pandemic. Veronika, the teacher, revealed her feelings of grievance and loss to the graduate course cohort at the advent of large-scale school…

This study explored the impact of authentic out-of-school learning on students' beliefs about their science learning efficacy and career aspirations. The learning activity, designed following an authentic learning framework, was led by research scientists. We examined how students' emotions, induced in an authentic scientific activity, mediated…

Through the lens of science capital, this research aims to detect the key factors and their main effects in identifying students with science-related career expectations. A machine learning approach (i.e., random forest) was employed to analyze a dataset of 519,334 15-year-old students from the Programme for International Student Assessment (PISA)…