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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JDS</journal-id>
      <journal-title-group>
        <journal-title>Journal of Data Science</journal-title>
      </journal-title-group>
      <issn pub-type="epub">1680-743X</issn>
      <issn pub-type="ppub">1680-743X</issn>
      <publisher>
        <publisher-name>SOSRUC</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">100306</article-id>
      <article-id pub-id-type="doi">10.6339/JDS.201207_10(3).0006</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>A Data Mining Approach to Comparing American and Canadian Grade 10 Students’ PISA Science Test Performance</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Yu</surname>
            <given-names>Chong Ho</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_000"/>
        </contrib>
        <aff id="j_JDS_aff_000">Azusa Pacific University</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Kaprolet</surname>
            <given-names>Charles</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_001"/>
        </contrib>
        <aff id="j_JDS_aff_001">Scottsdale Unified School District</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Jannasch-Pennell</surname>
            <given-names>Angel</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_002"/>
        </contrib>
        <aff id="j_JDS_aff_002">KOI Education</aff>
        <contrib contrib-type="author">
          <name>
            <surname>DiGangi</surname>
            <given-names>Samuel</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_003"/>
        </contrib>
        <aff id="j_JDS_aff_003">Arizona State University</aff>
      </contrib-group>
      <volume>10</volume>
      <issue>3</issue>
      <fpage>441</fpage>
      <lpage>464</lpage>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>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.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>American students</kwd>
        <kwd>Canadian students</kwd>
        <kwd>data mining</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
