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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
Samuel, Robin – Educational Research, 2014
Background: Young females have been found to out-perform males in terms of grades and university degrees in many studies. At the same time, young women seem to exhibit lower levels of well-being compared with men. Interestingly, little work has evaluated the interplay between educational success and well-being. However, antecedents and…
Descriptors: Gender Differences, Well Being, Academic Achievement, Correlation
Sikora, Joanna; Saha, Lawrence J. – National Centre for Vocational Education Research (NCVER), 2011
This document was produced by the authors based on their research for the report "Lost talent? The occupational ambitions and attainments of young Australians", and is an added resource for further information. The purpose of this supplement is to provide greater detail about the background of research into the topic of human talent in…
Descriptors: Foreign Countries, Academic Achievement, Human Capital, Talent