<rdf:RDF xmlns:rdf="http://www.openarchives.org/OAI/2.0/rdf/" xmlns:ow="http://www.ontoweb.org/ontology/1#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:ds="http://dspace.org/ds/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/rdf/ http://www.openarchives.org/OAI/2.0/rdf.xsd">
   <ow:Publication rdf:about="oai:digibug.ugr.es:10481/66594">
      <dc:title>Estimating the Academic Performance of Secondary Education Mathematics Students: A Gain Lift Predictive Model</dc:title>
      <dc:creator>Trujillo Torres, Juan Manuel</dc:creator>
      <dc:creator>Hinojo Lucena, Francisco Javier</dc:creator>
      <dc:subject>Mathematics education</dc:subject>
      <dc:subject>Educational innovation</dc:subject>
      <dc:subject>School environment</dc:subject>
      <dc:subject>High School</dc:subject>
      <dc:subject>Academic performance</dc:subject>
      <dc:subject>School failure</dc:subject>
      <dc:description>Several socioeconomic, environmental, ethnic, family, and educational factors influence&#xd;
an individual’s academic performance and can determine their school performance in mathematics.&#xd;
Mathematical competence is one of the skills that allow students to build visions of the future from&#xd;
performance in the present. However, the perception that students have of mathematics, in addition&#xd;
to the teacher–student relationship, the classroom, gender, teaching–learning, and motivation are&#xd;
crucial factors for achieving an optimal academic performance and preventing school failure. The aim&#xd;
of the present study was: (1) to examine which variables of the dimensions “Learning Mathematics”&#xd;
and “School Environment” significantly contribute to the marks in the second quarter and quantify&#xd;
their relative importance; (2) to determine the optimal algorithm model for predicting the maximum&#xd;
gain in students’ marks in the second quarter and quantifying it; and (3) to analyze the maximum gain&#xd;
in terms of gender. A total of 2018 high school students in Melilla were included in this cross-sectional&#xd;
study. Mathematical learning and the school environment were assessed using a validated 14-item&#xd;
questionnaire. Gain lift was employed to quantify the improvement in students’ performance. The role&#xd;
of the classroom and teacher–student relationship had a greater influence on mathematics scores than&#xd;
affinity indicators, teaching, study time, teaching resources used, study aids, and motivation.</dc:description>
      <dc:date>2021-02-16T08:21:00Z</dc:date>
      <dc:date>2021-02-16T08:21:00Z</dc:date>
      <dc:date>2020</dc:date>
      <dc:type>info:eu-repo/semantics/article</dc:type>
      <dc:identifier>Trujillo-Torres, J.-M.; Hossein-Mohand, H.; Gómez-García, M.; Hossein-Mohand, H.; Hinojo-Lucena, F.-J. Estimating the Academic Performance of Secondary Education Mathematics Students: A Gain Lift Predictive Model. Mathematics 2020, 8, 2101. https://doi.org/10.3390/math8122101</dc:identifier>
      <dc:identifier>http://hdl.handle.net/10481/66594</dc:identifier>
      <dc:identifier>10.3390/math8122101</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:rights>http://creativecommons.org/licenses/by/3.0/es/</dc:rights>
      <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
      <dc:rights>Atribución 3.0 España</dc:rights>
      <dc:publisher>MDPI</dc:publisher>
   </ow:Publication>
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