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Structural Relationships between Learning Environments and Students' Non-Cognitive Outcomes: Secondary Analysis of PISA Data
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Khine, Myint Swe; Fraser, Barry J.; Afari, Ernest – Learning Environments Research, 2020
Relationships between students' perceptions and their non-cognitive outcomes (epistemological beliefs, self-efficacy and attitudes to science) were investigated through secondary analysis of data from 14,167 United Arab Emirates students who participated in the Programme for International Student Assessment (PISA). Structural equation modeling…
Descriptors: Educational Environment, Achievement Tests, International Assessment, Foreign Countries
Comparison of Artificial Neural Networks and Logistic Regression Analysis in PISA Science Literacy Success Prediction
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Bozak, Ali; Aybek, Eren Can – International Journal of Contemporary Educational Research, 2020
The present study aims to determine which analysis technique-Artificial Neural Networks (ANNs) or Logistic Regression (LR) Analysis-is better at predicting the science literacy success of the 15-year Turkish students who participated in PISA research carried out in 2015 by using learning time spent on science, test anxiety, environmental…
Descriptors: Artificial Intelligence, Networks, Regression (Statistics), Achievement Tests
Reflections on and Implications of the Programme for International Student Assessment 2015 (PISA 2015) Performance of Students in Taiwan: The Role of Epistemic Beliefs about Science in Scientific Literacy
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She, Hsiao-Ching; Lin, Huann-shyang; Huang, Li-Yu – Journal of Research in Science Teaching, 2019
Abstract The 2015 Programme for International Student Assessment (PISA) has drawn a substantial amount of attention from science educators and educational policymakers because it marked the first time that PISA assessed students' ability to evaluate and design scientific inquiry using computer-based simulations. We undertook a secondary analysis…
Descriptors: Scientific Literacy, Foreign Countries, Science Instruction, Resilience (Psychology)