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Cheng Yong Tan – Asia Pacific Education Review, 2024
The present study provides insights on the influence of family socioeconomic and school resources on principal leadership and, in turn, the influence of principal leadership on the science learning of students. The study uses data from the Programme for International Student Assessment (PISA) in 2015 (248,620 students and 9370 principals) from 35…
Descriptors: Principals, Socioeconomic Status, Educational Resources, Leadership Role
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Lihua 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
Lee, Jihyun – OECD Publishing, 2020
Non-cognitive characteristics of students in four Southeast Asian countries -- Indonesia, Malaysia, Thailand, and Viet Nam -- were reviewed based on the PISA 2009, 2012, and 2015 data. Overall, students in this region demonstrated similarities with respect to their non-cognitive dispositions such as learning habits, approaches to learning,…
Descriptors: Foreign Countries, Student Characteristics, Study Habits, Learning Strategies
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Erbas, Ayhan Kürsat; Tuncer Teksoz, Gaye; Tekkaya, Ceren – Eurasian Journal of Educational Research, 2012
Problem statement: Contemporary global environmental problems have highlighted the importance of acting responsibly towards natural resources and the environment. The role of science education in shaping how people interact with the environment, therefore, has gained importance. The science education community has responded to this challenge by…
Descriptors: Citizenship Responsibility, Conservation (Environment), Science Education, Environmental Education