<?xml version="1.0" encoding="utf-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.0 20120330//EN" "JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="article">
<front>
    <journal-meta>
        <journal-id journal-id-type="publisher-id">INFEDU</journal-id>
        <journal-title-group>
            <journal-title>Informatics in Education</journal-title>
        </journal-title-group>
        <issn pub-type="epub">1648-5831</issn>
        <issn pub-type="ppub">1648-5831</issn>
        <publisher>
            <publisher-name>VU</publisher-name>
        </publisher>
    </journal-meta>
    <article-meta>
                <article-id pub-id-type="publisher-id">INFE237</article-id>
                        <article-id pub-id-type="doi">10.15388/infedu.2014.08</article-id>
                        <article-categories>
            <subj-group subj-group-type="heading">
                <subject>Article</subject>
            </subj-group>
        </article-categories>
                        <title-group>
            <article-title>Educational Data Mining and Problem-Based Learning</article-title>
        </title-group>
                        <contrib-group>
                                        <contrib contrib-type="author">
                                                <name>
                    <surname>WALLDÉN</surname>
                    <given-names>Sari</given-names>
                </name>
                                <email xlink:href="mailto:Sari.Wallden@uta.fi">Sari.Wallden@uta.fi</email>
                                                <xref ref-type="aff" rid="j_INFEDU_aff_000"/>
                                            </contrib>
                        <aff id="j_INFEDU_aff_000">University of Tampere, School of Information Sciences
FIN-33014 Tampere, Finland</aff>
                                                    <contrib contrib-type="author">
                                                <name>
                    <surname>MÄKINEN</surname>
                    <given-names>Erkki</given-names>
                </name>
                                <email xlink:href="mailto:Erkki.Makinen@uta.fi">Erkki.Makinen@uta.fi</email>
                                                <xref ref-type="aff" rid="j_INFEDU_aff_001"/>
                                            </contrib>
                        <aff id="j_INFEDU_aff_001">University of Tampere, School of Information Sciences
FIN-33014 Tampere, Finland</aff>
                                </contrib-group>
                                                                                                        <volume>13</volume>
                                <issue>1</issue>
                                    <fpage>141</fpage>
                        <lpage>156</lpage>
						<pub-date pub-type="epub">
                        <day>15</day>
                                    <month>04</month>
                        <year>2014</year>
        </pub-date>
                                                        <abstract>
                        <p>This paper considers the use of log data provided by learning management systems when studying whether students obey the problem-based learning (PBL) method. Log analysis turns out to be a valuable tool in measuring the use of the learning material of interest. It gives reliable figures concerning not only the number of use sessions but also the interlocking of various course activities. The longitudinal study based on log analysis makes use of a new software tool, SPY US. Our study concentrates on using log data analysis in improving the PBL method used in learning diagnostic skills with the help of Virtual Patients.</p>
                    </abstract>
                <kwd-group>
            <label>Keywords</label>
                        <kwd>learning management system</kwd>
                        <kwd>problem-based learning</kwd>
                        <kwd>educational data mining</kwd>
                    </kwd-group>
    </article-meta>
</front>
</article>
