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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
Teig, Nani; Scherer, Ronny; Kjaernsli, Marit – Journal of Research in Science Teaching, 2020
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…
Descriptors: Science Process Skills, Thinking Skills, Inquiry, Simulation
Jack, Brady Michael; Lin, Huann-shyang; Yore, Larry D. – Journal of Research in Science Teaching, 2014
This study investigates how affective and self-related factors impact participation in science learning and environmental awareness and responsibility. Using PISA 2006 datasets from Taiwan and Canada having similar level of science competency, the model for this study verifies and expands an earlier model by examining the relationships among…
Descriptors: Foreign Countries, Cross Cultural Studies, Cultural Differences, Science Education
