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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
Lau, Kwok Chi – Asia-Pacific Forum on Science Learning and Teaching, 2014
The study has integrated the data from PISA 2006 to 2012 to give an overall picture of the cognitive and affective performances and pedagogy of East Asian regions on PISA scientific literacy. Attempts are made to account for their performances based on the PISA data and cultural characteristics. The cognitive science performance of East Asian…
Descriptors: Foreign Countries, Science Education, Scientific Literacy, Achievement Tests
