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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">RFDS</journal-id>
      <journal-title-group>
        <journal-title>Regional Formation and Development Studies</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2351-6542</issn>
      <issn pub-type="ppub">2029-9370</issn>
      <publisher>
        <publisher-name>KU</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">06_KESYLE</article-id>
      <article-id pub-id-type="doi">10.15181/rfds.v42i1.2612</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Unveiling the Potential of Learning Analytics in Learning Design: Theoretical Implications for General Education</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Kesylė</surname>
            <given-names>Kamilė</given-names>
          </name>
          <email xlink:href="mailto:k.kesyle@kvk.lt">k.kesyle@kvk.lt</email>
          <xref ref-type="aff" rid="j_RFDS_aff_000"/>
        </contrib>
        <aff id="j_RFDS_aff_000">Klaipėda University</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Melnikova</surname>
            <given-names>Julija</given-names>
          </name>
          <email xlink:href="mailto:julija.melnikova@ku.lt">julija.melnikova@ku.lt</email>
          <xref ref-type="aff" rid="j_RFDS_aff_001"/>
        </contrib>
        <aff id="j_RFDS_aff_001">Klaipėda University</aff>
      </contrib-group>
      <volume>43</volume>
      <issue>2</issue>
      <fpage>59</fpage>
      <lpage>71</lpage>
      <pub-date pub-type="epub">
        <day>11</day>
        <month>07</month>
        <year>2024</year>
      </pub-date>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>The article seeks to explore the possibilities of learning analytics in the improvement of learning design in general education. Hence,</p>
        <p>it aims to describe key components of learning analytics and address its advantages and some limitations in education, as well as to</p>
        <p>depict the most common learning design models. Theoretical analysis helped to reveal how learning analytics can provide teachers</p>
        <p>with valuable insights into student engagement, progress and learning outcomes. By taking into account students’ data on interaction</p>
        <p>with course materials, teachers can identify areas for improvement, and make data-informed decisions on pedagogical strategies. The</p>
        <p>implications of the article highlight the most common practices on how learning analytics can be used to evaluate the effectiveness of</p>
        <p>the learning design, address weaknesses in teaching-learning process, predict course completion rates by identifying student profiles,</p>
        <p>etc. The theoretical implications allow for presupposing that the synergy of learning analytics and learning design could serve the</p>
        <p>improvement of the quality of general education.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>learning analytics</kwd>
        <kwd>learning design</kwd>
        <kwd>general education</kwd>
      </kwd-group>
      <kwd-group kwd-group-type="JEL CODES">
        <label>JEL CODES</label>
        <kwd>I20</kwd>
        <kwd>I21</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
