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)…

Informal learning environments such as Natural History Museums can introduce visitors to a variety of topics in evolution by providing accessible representations of concepts like geological time, evolutionary mechanisms, biological diversity, geological time, and fossil dating. Our study examined sixth-grade students' conceptualization of…

This article reports on quantitative findings from a design-based implementation research (DBIR) project "Carbon TIME" that focused on teaching carbon cycling at multiple scales, from atomic-molecular to global. We report results from a large dataset from diverse schools, including 59,654 student assessments of three-dimensional learning…

Previous research has demonstrated the potential of examining log-file data from computer-based assessments to understand student interactions with complex inquiry tasks. Rather than solely providing information about what has been achieved or the accuracy of student responses ("product data"), students' log files offer additional…

Science educators are confronted with the challenge to accommodate in their classes an increasing cultural and linguistic diversity that results from globalization. Challenged by the call to work towards valuing and keeping this diversity in the face of the canonical nature of school science discourse, we propose a new way of thinking about and…