<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<TEI xmlns="http://www.tei-c.org/ns/1.0">
  <teiHeader>
    <fileDesc>
      <titleStmt>
        <title type="main" level="a">The relation between students’ educational performances and their access test results: a focus on an Italian case</title>
        <author>
          <persName n="1">
            <forename>Matteo</forename>
            <surname>Corsi</surname>
            <placeName type="affiliation">University of Genoa, Italy</placeName>
          </persName>
          <persName n="2" ref="https://orcid.org/0000-0002-5436-2627" type="ORCID">
            <forename>Luca</forename>
            <surname>Persico</surname>
            <placeName type="affiliation">University of Genoa, Italy</placeName>
          </persName>
          <persName n="3" ref="https://orcid.org/0000-0002-7424-9998" type="ORCID">
            <forename>Sara</forename>
            <surname>Preti</surname>
            <placeName type="affiliation">University of Genoa, Italy</placeName>
          </persName>
          <persName n="4">
            <forename>Agnese</forename>
            <surname>Sechi</surname>
            <placeName type="affiliation">University of Genoa, Italy</placeName>
          </persName>
        </author>
        <respStmt>
          <resp>This is a section of <title>ASA 2022 Data-Driven Decision Making</title>(DOI: <idno type="DOI">10.36253/979-12-215-0106-3</idno>) by </resp>
          <name>Enrico di Bella, Luigi Fabbris, Corrado Lagazio</name>
        </respStmt>
      </titleStmt>
      <publicationStmt>
        <publisher>Firenze University Press</publisher>
        <pubPlace>Firenze</pubPlace>
        <date when="2023">2023</date>
        <idno type="DOI">https://doi.org/10.36253/979-12-215-0106-3.05</idno>
        <availability>
          <p>Available for academic research purposes</p>
          <p>Open Access</p>
          <p>Copyright Author(s)</p>
          <licence source="text" target="https://creativecommons.org/licenses/by/4.0/legalcode">
            <p>Content licence CC BY 4.0</p>
          </licence>
          <licence source="metadata" target="https://creativecommons.org/publicdomain/zero/1.0/legalcode">
            <p>Metadata licence CC0 1.0</p>
          </licence>
        </availability>
      </publicationStmt>
      <sourceDesc>
        <p>This is original content, published for academic research purposes</p>
      </sourceDesc>
    </fileDesc>
    <encodingDesc>
      <appInfo>
        <application version="2.2" ident="Booksflow">
          <desc>Digital edition XML powered by Booksflow</desc>
        </application>
      </appInfo>
    </encodingDesc>
    <profileDesc>
      <abstract xml:lang="en">
        <p>This paper aims at analyzing the relationship between university performances of freshman students, measured by the University credits (CUs) gathered during the first semester, and the results achieved in T.E.L.E.MA.CO. test, a useful tool for orientation and access to university studies based on solid scientific methodologies, and their social-demographic characteristics. This analysis is useful to understand when and how timely policies and programs can be implemented to avoid losing students, a frequent trend, especially in the first semester of the first year. All the considered students are enrolled at the Economic Department of the University of Genoa. Data provided directly by the Department are analyzed from a descriptive point of view and then a logit model is used to compute the probability of getting at least 15 CUs at the end of the first semester. Furthermore, the paper investigates the existence of a gender gap in mathematics before the beginning of university and after the first exams, based on the score gained in the admission test in the numeracy section (pre-university assessment) and the mark obtained in the mathematics exam (post-university assessment). Finally, this work attempt to explain if the university environment contributes to increase or reduce the gender gap.</p>
      </abstract>
      <textClass>
        <keywords>
          <list>
            <item>Students' performance</item>
            <item>Access test</item>
            <item>Gender gap</item>
            <item>Higher education</item>
          </list>
        </keywords>
      </textClass>
    </profileDesc>
  </teiHeader>
  <text>
    <body>
      <p>It is available online at https://doi.org/10.36253/979-12-215-0106-3.05<ref target="https://doi.org/10.36253/979-12-215-0106-3.05" /></p>
      <div>
        <listBibl>
          <head>References</head>
          <bibl n="111696">Bestetti, R.B., Couto, L.B., Roncato-Paiva, P., Rom&amp;#227;o, G.S., Faria-Jr, M., Furlan-Daniel, R.A., Geleilete, T., Jorge-Neto, S., Mendon&amp;#231;a, F., Garcia, M., Durand, M.T. (2020). University Admission Test Associates with Academic Performance at the End of Medi</bibl>
          <bibl n="111697">Carrieri, V., D’Amato M., Zotti R. (2013). Selective Admission Tests and Students’ Performances. Evidence from a Natural Experiment in a Large Italian University. (No. 0/00). CELPE-Centre of Labour Economics and Economic Policy, University of Salerno, Ita</bibl>
          <bibl n="111698">Cisia (2020). Il Test D’Ingresso. Valenza Predittiva e Rilevanza Nei Percorsi di Orientamento Universitario. Edizioni CISIA, Pisa, pp. 1-68.</bibl>
          <bibl n="111699">Migliaretti, G., Bozzaro S., Siliquini R., Stura I., Costa G., Cavallo F. (2017). Is the admission test for a course in medicine a good predictor of academic performance? A case-control experience at the school of medicine of Turin. BMJ Open, 7(11), pp. 1</bibl>
          <bibl n="111700">Priulla, A., D’Angelo, N. &amp;amp; Attanasio, M. (2021). An analysis of Italian university students’ performance through segmented regression models: gender differences in STEM courses. Genus, 77, 11.</bibl>
          <bibl n="111701">Tigre, R., Sampaio, B., Menezes, T. (2016). The impact of commuting time on youth’s school performance. Journal of Regional Science, 57(1), pp. 28-47.</bibl>
          <bibl n="111702">Youden, W.J., (1950). Index for rating diagnostic tests. Cancer, 3(1), pp. 32-35.</bibl>
        </listBibl>
      </div>
    </body>
  </text>
</TEI>