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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
Woods-McConney, Amanda; Oliver, Mary C.; McConney, Andrew; Maor, Dorit; Schibeci, Renato – Research in Science Education, 2013
Previous research has underlined the importance of school students' engagement in science (including students' attitudes, interests and self beliefs). Engagement in science is important as a correlate of scientific literacy and attainment, and as an educational outcome in its own right. Students positively engaged with science are more likely to…
Descriptors: Foreign Countries, Learner Engagement, Regression (Statistics), Models
