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    <journal-meta>
      <journal-id journal-id-type="nlm-ta">REA Press</journal-id>
      <journal-id journal-id-type="publisher-id">null</journal-id>
      <journal-title>REA Press</journal-title><issn pub-type="ppub"> 3042-2221</issn><issn pub-type="epub"> 3042-2221</issn><publisher>
      	<publisher-name>REA Press</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">https://doi.org/10.22105/metaverse.v2i3.86</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject>Artificial intelligence, Personalized learning, Educational chatbots, Digital twin technology, Smart university systems</subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>The impact of artificial intelligence on personalized learning approaches in higher education institutions</article-title><subtitle>The impact of artificial intelligence on personalized learning approaches in higher education institutions</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname>Malekpour</surname>
		<given-names>Fatemah</given-names>
	</name>
	<aff>Department Counseling and Guidance, Research Sciences Branch, Islamic Azad University, Tehran, Iran.</aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>09</month>
        <year>2025</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>16</day>
        <month>09</month>
        <year>2025</year>
      </pub-date>
      <volume>2</volume>
      <issue>3</issue>
      <permissions>
        <copyright-statement>© 2025 REA Press</copyright-statement>
        <copyright-year>2025</copyright-year>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.5/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</p></license>
      </permissions>
      <related-article related-article-type="companion" vol="2" page="e235" id="RA1" ext-link-type="pmc">
			<article-title>The impact of artificial intelligence on personalized learning approaches in higher education institutions</article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			This study explores the impact of Artificial Intelligence (AI) on personalized learning approaches within higher education institutions. The research investigates how AI-based systems, including chatbots and digital twin technologies, can enhance student support services and improve educational outcomes. Key findings indicate that AI-powered tools demonstrate significant potential in addressing academic inquiries and providing personalized assistance to students. Additionally, personalized learning approaches supported by AI have led to enhanced academic performance and increased student satisfaction. However, challenges such as technical limitations, privacy concerns, and the need for faculty training are noted. The study concludes that while AI offers transformative opportunities for higher education, its successful implementation requires careful planning, adequate resources, and ongoing evaluation. Future research should focus on long-term impacts and best practices for AI integration in educational settings.
		</p>
		</abstract>
    </article-meta>
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