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A Data Mining Approach to Comparing American and Canadian Grade 10 Students’ PISA Science Test Performance
Volume 10, Issue 3 (2012), pp. 441–464
Chong Ho Yu   Charles Kaprolet   Angel Jannasch-Pennell     All authors (4)

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https://doi.org/10.6339/JDS.201207_10(3).0006
Pub. online: 4 August 2022      Type: Research Article      Open accessOpen Access

Published
4 August 2022

Abstract

Abstract: According to 2006 Programme for International Student Assess ment (PISA), sixteen Organization for Economic Cooperation and Develop ment (OECD) countries had scores that were significantly higher than the US. The top three performers were Finland, Canada, and Japan. While Finland and Japan are vastly different from the US in terms of cultures and educational systems, the US and Canada are similar to each other in many aspects, thus their performance gap was investigated. In this study data mining was employed to identify factors regarding access to and use of resources, as well as student views on science for predicting PISA science scores among Grade 10 American and Canadian students. It was found that science enjoyment and frequent use of educational software play important roles in the academic achievement of Canadian students.

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Keywords
American students Canadian students data mining

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