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Examining high achievement in mathematics and science among post-primary students in Ireland: a multilevel binary logistic regression analysis of PISA data
被引:0
|作者:
Vasiliki Pitsia
机构:
[1] Dublin City University,Centre for Assessment Research, Policy and Practice in Education (CARPE)
[2] Educational Research Centre (ERC),Department of Education, School of Education
[3] University of Nicosia,undefined
来源:
Large-scale Assessments in Education
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/
10卷
关键词:
High achievement;
Mathematics;
Science;
PISA;
Multilevel binary logistic regression modelling;
Ireland;
D O I:
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学科分类号:
摘要:
In Ireland, while, on average, students have performed well on national and international assessments of mathematics and science, the low proportions of high achievers in these subjects are noteworthy. Given these patterns and the multifaceted benefits in individual and societal terms that expertise in mathematics and science has been associated with, policymakers in Ireland have begun to place an increasing emphasis on high achievement in these subjects. This emphasis has coincided with ongoing efforts during the last decade to raise interest and improve academic performance within the realm of science, technology, engineering, and mathematics (STEM) education.
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