Difference between revisions of "ANLY482 AY2016-17 T2 Group11"

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The Ministry of Education (MOE) collects and analyses data from schools through Singapore to continually improve on their policies and practices in Education which they set for schools in Singapore. However, most of the data from MOE are not publicly available for research and analysis for people who are not working inside MOE. With that limitation, it is hard to gain insights about education in Singapore to make improvements or suggestions to the education system. An alternative for this is through the publicly available data collected by the Organisation for Economic Co-operation and Development (OECD) through the Programme for International Student Assessment (PISA) global education survey.  
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Our project sponsor is Professor Kam Tin Seong who is interested in what insights can be obtained from the recently published OECD PISA global education survey. By understanding factors and variables which affects a student’s performance, suggestions can be made to MOE and schools to improve on the performance of students.
  
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The OECD PISA global education survey is a triennial international survey which aims to evaluate education systems worldwide by testing the skills and knowledge of 15 year old students in math, reading, and science. The survey has become increasingly influential on politicians who see their countries and their policies being measured against these global school league tables.
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Asian countries continue to dominate, with Singapore rated as best, replacing Shanghai, which is now part of a combined entry for China.
 
  
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The 2015 PISA data was released last December 6 2016 and this will be used for the team’s analysis.
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Latest revision as of 20:53, 23 April 2017

Return to ANLY482 AY2016-17 Home Page

T11 Banner.png

T11 home 2.png T11 about us.png T11 overview.png T11 mgmt.png T11 findings.png T11 documentation.png


T11 progress.jpg

100% completed (estimate)

   


T11 sponsor.jpg

Our project sponsor is Professor Kam Tin Seong who is interested in what insights can be obtained from the recently published OECD PISA global education survey. By understanding factors and variables which affects a student’s performance, suggestions can be made to MOE and schools to improve on the performance of students.


T11 background.jpg
T11 pisa logo.png
T11 interim PISA.png
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