Equations and Inequalities - PISA
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9789264258488, 9789264258495, 9789264259348

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Executive Summary

Equations and Inequalities - PISA ◽

10.1787/9789264258495-2-en ◽

2016 ◽

pp. 13-29

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Keyword(s):

Executive Summary

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Teachers assigning different tasks to students based on ability, by schools' socio-economic profile

Equations and Inequalities - PISA ◽

10.1787/9789264258495-graph39-en ◽

2016 ◽

Keyword(s):

Economic Profile

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Exposure to contextualised mathematics problems during mathematics lessons

Equations and Inequalities - PISA ◽

10.1787/9789264258495-graph16-en ◽

2016 ◽

Keyword(s):

Mathematics Problems

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Students' intentions, motivation and expected careers in STEM fields, by gender and socio-economic status

Equations and Inequalities - PISA ◽

10.1787/9789264258495-graph71-en ◽

2016 ◽

Keyword(s):

Economic Status ◽

Stem Fields ◽

Socio Economic Status

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Performance gap between disadvantaged and other students, by context of task

Equations and Inequalities - PISA ◽

10.1787/9789264258495-graph84-en ◽

2016 ◽

Keyword(s):

Performance Gap

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Exposure to mathematics content in class, by grade

Equations and Inequalities - PISA ◽

10.1787/9789264258495-graph14-en ◽

2016 ◽

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Parents' preferences for schools, by socio-economic status

Equations and Inequalities - PISA ◽

10.1787/9789264258495-graph28-en ◽

2016 ◽

Keyword(s):

Economic Status ◽

Socio Economic Status

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Teachers' use of cognitive-activation strategies and students' familiarity with mathematics, by schools' socio-economic profile

Equations and Inequalities - PISA ◽

10.1787/9789264258495-graph44-en ◽

2016 ◽

Keyword(s):

Cognitive Activation ◽

Economic Profile

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Change between 2003 and 2012 in the percentage of students who enjoy mathematics

Equations and Inequalities - PISA ◽

10.1787/9789264258495-graph68-en ◽

2016 ◽

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Motivation to learn mathematics and peers' attitudes, by schools' level of familiarity with mathematics

Equations and Inequalities - PISA ◽

10.1787/9789264258495-graph77-en ◽

2016 ◽

Keyword(s):

Motivation To Learn

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