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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher">BJCR</journal-id>
      <journal-title-group>
        <journal-title xml:lang="en">British Journal of Contemporary Research</journal-title>
        <abbrev-journal-title xml:lang="en">BJCR</abbrev-journal-title>
      </journal-title-group>
      
      <publisher>
        <publisher-name>Bexford Publishing Ltd</publisher-name>
        <publisher-loc><uri>https://bexfordpublishing.co.uk</uri></publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">BEX_MAY_26_001</article-id>
      
      <article-categories>
        <subj-group xml:lang="en" subj-group-type="heading">
          <subject>Case Study</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title xml:lang="en">ARTIFICIAL INTELLIGENCE SIMULATIONS AND STUDENTS’ ENGAGEMENT IN PHYSICS PRACTICAL SESSIONS IN ADAMAWA STATE, NIGERIA</article-title>
      </title-group>
      <contrib-group content-type="author">
      <contrib corresp="yes">
        <name-alternatives>
          <name name-style="western" specific-use="primary">
            <given-names>Abraham Aderemi Adetutu</given-names>
          </name>
        </name-alternatives>
        <email>teyananya@gmail.com</email>
        <bio xml:lang="en"><p>Department of Physics/School of Sciences/Adamawa State College of Education, Hong, Nigeria, Nigeria</p></bio>
      </contrib>
      <contrib>
        <name-alternatives>
          <name name-style="western" specific-use="primary">
            <given-names>Reuben Benson</given-names>
          </name>
        </name-alternatives>
        
        <bio xml:lang="en"><p>Curriculum and Instructional Technology, School of General Education, Adamawa State College of Education, Hong, Nigeria | ORCID: 0000-0003-4484-3408</p></bio>
      </contrib>
      </contrib-group>
      <pub-date date-type="pub" publication-format="epub">
        <day>09</day>
        <month>06</month>
        <year>2026</year>
      </pub-date>
      <volume>1</volume>
      <issue>1</issue>
      
      
      <pub-history>
        <event event-type="received">
          <event-desc>Received: <date date-type="received">
            <day>30</day>
            <month>05</month>
            <year>2026</year>
          </date></event-desc>
        </event>
        
      </pub-history>
      <permissions>
        <copyright-statement>Copyright (c) 2026 Abraham Aderemi Adetutu</copyright-statement>
        <copyright-year>2026</copyright-year>
        <license xlink:href="https://creativecommons.org/licenses/by/4.0">
          <license-p>This work is licensed under a Creative Commons Attribution 4.0 International License.</license-p>
        </license>
      </permissions>
      <abstract><p>By improving student engagement, interaction, and comprehension of real-world concepts, artificial intelligence (AI) simulations are progressively revolutionizing science teaching. AI-powered simulations in physics education offer interactive, virtual learning environments that let students carry out experiments, change variables, and successfully visualize abstract ideas. The impact of AI simulations on students&#039;s participation in physics practical sessions was investigated in this study. Three research questions served as the study&#039;s compass, and a descriptive survey research design was used. Structured questionnaires were used to gather data from physics teachers and students, and mean scores and standard deviation were used for analysis. The results showed that during physics practical sessions, AI simulations enhance students&#039; interest, involvement, teamwork, conceptual comprehension, and practical skills. However, challenges including poor internet connectivity, inadequate ICT infrastructure, incompetent teachers, and restricted access to digital devices make it difficult to successfully apply AI simulations in classrooms. According to the study&#039;s findings, AI simulations greatly improve students&#039; participation and educational opportunities during physics practical sessions. For successful AI integration in physics education, the research recommended more funding for digital infrastructure, teacher preparation, and innovative curricula.</p></abstract>
    </article-meta>
  </front>
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