<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Article Tag Suite 1.1//EN"
  "https://jats.nlm.nih.gov/publishing/1.1/JATS-journalpublishing1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink"
         xmlns:mml="http://www.w3.org/1998/Math/MathML"
         article-type="Research Paper"
         xml:lang="en">
  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>Indian Journal of Social Enquiry</journal-title>
        <abbrev-journal-title abbrev-type="publisher">IJSE</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="epub">applied</issn>
      <issn pub-type="ppub">0974-9012</issn>
      <publisher>
        <publisher-name>Prof Gitanjali Chawla</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">IJSE2170005</article-id>
      <title-group>
        <article-title>AI and Education: Transforming Learning for the Future</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Kanoujia</surname>
            <given-names>Latesh</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
      </contrib-group>
      <aff id="aff1">Maharaja Agrasen College, University of Delhi</aff>
      <pub-date pub-type="epub" iso-8601-date="2026-09-03">
        <month>09</month>
        <day>03</day>
        <year>2026</year>
      </pub-date>
      <volume>17</volume>
      <issue>2</issue>
      <fpage>95</fpage>
      <lpage>106</lpage>
      <abstract>
        <p>Artificial Intelligence (AI) is revolutionising classrooms by making learning
efficient, accessible, and personalised. AI-enabled tools such as intelligent
tutoring systems and adaptive learning software, monitor students’ performance
and provide customised study plans, allowing students to study at their own
pace. Virtual assistants and chatbots offer instant feedback and guidance in
communication, and computer grading lightens the administrative load for
faculty members, permitting them to devote their time to teaching and advising.
Outside the classroom, AI is transforming access to learning. Speech-to-text and
text-to-speech functionality facilitate learning for disabled students, and textto-language programs aid in breaking down multilingual classroom barriers.
Such technologies promote accessibility and inclusion of foreign students in
education. However, integrating AI with education may also be fraught with
danger. Issues such as privacy of information, digital disparities, and reduction
of the human element in education need to be addressed. AI technologies are not
equally accessible to all, which may cause them to widen educational disparities
instead of reducing them. It is emphasised that ethical AI innovation, wise
policymaking, and digital infrastructure investments be used to ensure that AI
is accessible to all students on an equal basis, irrespective of their backgrounds.
This study examines the potential of AI to revolutionise learning into possibilities
and opportunities intertwined. It is hoped that AI improves future learning and
customised education as well as becomes inclusive, if policymakers, educators,
and technologists join hands in a collective effort.</p>
      </abstract>
      <kwd-group kwd-group-type="author">
        <kwd>Artificial Intelligence</kwd>
        <kwd>Personalised learning</kwd>
        <kwd>Education
technology</kwd>
        <kwd>Digital accessibility</kwd>
        <kwd>Adaptive learning</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <!-- Full article body not available in metadata-only JATS export. See PDF/HTML galley. -->
  </body>
  <back/>
</article>
