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Direct linkLihua Tan; Fu Chen; Bing Wei – Journal of Research in Science Teaching, 2024
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)…
Descriptors: Science Education, STEM Careers, Expectation, Student Attitudes
Schmidt, Jennifer A.; Rosenberg, Joshua M.; Beymer, Patrick N. – Journal of Research in Science Teaching, 2018
Science education reform efforts in the Unites States call for a dramatic shift in the way students are expected to engage with scientific concepts, core ideas, and practices in the classroom. This new vision of science learning demands a more complex conceptual understanding of student engagement and research models that capture both the…
Descriptors: Science Education, Learner Engagement, Learning Activities, Multivariate Analysis
