<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article">
  <front>
    <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"> 3042-3058</issn><issn pub-type="epub"> 3042-3058</issn><publisher>
      	<publisher-name>REA press</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi"> https://doi.org/10.48314/isti.v2i2.42</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject>Artificial intelligence in education, Identifying gaps in learners, Adaptive learning methods, Natural learning process3, Foreign language learning, Diagnostic assessment, Real time feedback</subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>The Role of AI in Identifying and Addressing Individual Learning Gaps in Foreign Language Acquisition</article-title><subtitle>The Role of AI in Identifying and Addressing Individual Learning Gaps in Foreign Language Acquisition</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname>Mishra</surname>
		<given-names>Shivam </given-names>
	</name>
	<aff>Department of Foreign Languages Studies, Central University of Karnataka, Kalaburagi, India.</aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>06</month>
        <year>2025</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>12</day>
        <month>06</month>
        <year>2025</year>
      </pub-date>
      <volume>2</volume>
      <issue>2</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 Role of AI in Identifying and Addressing Individual Learning Gaps in Foreign Language Acquisition</article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			The recent times have witnessed a rapid integration of the Artificial Intelligence (AI) powered tools and software in education. Because of the advantages they bring along to the learners as well as to the teachers, the development in this field is taking place at an unprecedented pace. As a result, in the area of foreign language learning also now various applications and technical assistants have emerged. These collaborative efforts of data scientists, software engineers, machine learning experts and linguists are not just revolutionizing the methods of learning foreign languages, they are also bringing the world closer by overcoming the language barriers. The major success that the AI has brought in the area of teaching and learning in general and in foreign languages learning in particular, lies in its ability to bring the individual in center. AI is rapidly making it possible to customize the learning for individuals by identifying the gaps in their learning and addressing them timely. Along with this it also helps the teachers to provide the learners with the lessons plans which are devised specifically for their needs. This not helps a learner in retaining confidence, interest in learning, but also boosts the learning process. This paper will briefly discuss the factors contributing to the success of integration of AI in the education sector in general. Then it will discuss how the potential of the AI can be harnessed by using various methods like adaptive learning system and Natural Learning Process (NLP). Further it will deal with the question, how AI can help diagnose the individual learning gaps through the mechanism of diagnostic assessment, real time feedback and learning progress analytics. To summarize this paper will discuss the pertinent issues related to the integration AI in foreign language learning in a calibrated manner and how teachers can incorporate AI tools in a meaningful manner to enrich a learner’s learning experience.
		</p>
		</abstract>
    </article-meta>
  </front>
  <body></body>
  <back>
    <ack>
      <p>null</p>
    </ack>
  </back>
</article>