A Data Mining Approach to Comparing American and Canadian Grade 10 Students’ PISA Science Test Performance

Type Journal Article - Journal of Data Science
Title A Data Mining Approach to Comparing American and Canadian Grade 10 Students’ PISA Science Test Performance
Author(s)
Volume 10
Publication (Day/Month/Year) 2012
Page numbers 441-464
URL http://www.jds-online.com/files/JDS-1064.pdf
Abstract
According to 2006 Programme for International Student Assessment (PISA), sixteen Organization for Economic Cooperation and Development (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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