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  <doi_batch_id>aspg-27-4411-1792223469</doi_batch_id>
  <timestamp>20261017075109</timestamp>
  <depositor>
   <depositor_name>American Scientific Publishing Group</depositor_name>
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  <journal>
   <journal_metadata language="en">
    <full_title>International Journal of Artificial Intelligence and Education Technology</full_title>
    <abbrev_title>IJAIET</abbrev_title>
    <issn media_type="electronic">2835-2432</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <journal_volume>
     <volume>3</volume>
    </journal_volume>
    <issue>2</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>AI-Enabled Strategic Planning for Educational Institutions: An Education Technology Readiness Framework for Transformation</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Aaras</given_name>
      <surname>Kraidi</surname>
      <affiliations>
       <institution>
        <institution_name>Department of Engineering, University of Technology and Applied Science, Shinas, Sultanate of Oman</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>Educational institutions are under growing pressure to integrate artificial intelligence (AI) and education technology (EdTech) in ways that improve teaching, governance, and service delivery rather than merely expand digital procurement. Strategic planning is therefore a core institutional capability: it aligns infrastructure, teacher readiness, student access, digital learning resources, and governance routines into a coherent transformation agenda. This study develops an AI-enabled strategic planning framework using the public 2023 World Bank EdTech Readiness Index (ETRI) pilot evidence. The framework converts traffic-light dashboard indicators into pillar-level maturity scores, strategic gaps, and a multi-criteria readiness benchmark. Empirical analysis of the Ho Chi Minh City and Dominican Republic pilot dashboards shows that school management is the strongest readiness domain in both settings, whereas connectivity and digital education resources remain more constrained. The paper contributes a managerial decision model that translates readiness evidence into institutional priorities, implementation roadmaps, and governance checkpoints. Unlike tool-centred studies, the analysis treats AI as a decision-support capability for educational planning. The framework offers a transparent and reproducible approach for organising EdTech strategy while keeping final decisions anchored in professional judgement and educational value.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <pages>
     <first_page>12</first_page>
     <last_page>18</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">4411</item_number>
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     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
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    <doi_data>
     <doi>10.54216/IJAIET.030202</doi>
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