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  <full_title>International Journal of Recent Technology and Engineering (IJRTE)</full_title>
  <abbrev_title>IJRTE</abbrev_title>
  <issn media_type='electronic'>22773878</issn>
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  <doi>10.35940/ijrte.2277-3878</doi>
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    <month>03</month>
    <day>30</day>
    <year>2025</year>
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    <volume>13</volume>
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  <issue>6</issue>
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  <titles>
  <title>Personalized and Intelligent Agent Based Context-Aware Mobile Learning Framework</title>
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  <contributors>
    <organization sequence='first' contributor_role='author'>Department of Humanities &amp; Basic Sciences, English Language Scientific College of Design, Muscat, Oman.</organization>
    <person_name sequence='first' contributor_role='author'>
     <given_name>Alaa Edein M.</given_name>
      <surname>Qoussini</surname>
      <ORCID>https://orcid.org/0009-0009-3246-1534</ORCID>
    </person_name>
    <person_name sequence='additional' contributor_role='author'>
      <given_name>Shaima M.</given_name>
      <surname>Al-Tabib</surname>
    </person_name>
   <organization sequence='additional' contributor_role='author'>Research Office, National College of Automotive Technology, Muscat, Oman.</organization>
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  <jats:abstract xml:lang='en'>
    <jats:p>Mobile learning promises the freedom to learn anytime, anywhere. However, effectively integrating personalization within mobile learning environments presents a significant challenge. This research aims to address this challenge by developing a novel framework for personalized content delivery in mobile learning environments (PCDMLE). The proposed PCDMLE framework leverages three key personalization aspects: student preferences, academic level, and assessment unit. By dynamically adapting learning content based on these individual characteristics, the framework aims to enhance student performance and simplify the management of diverse learning needs. To achieve this objective, an in-depth literature review was conducted to identify key personalization aspects within the context of mobile learning. Based on this review, a framework was developed and subsequently validated through an expert review process. A prototype was then developed and evaluated through a six-week experiment. Finally, participant feedback was collected through a survey to assess their evaluation and satisfaction with the framework. The results, derived from both the expert review and participant feedback, demonstrate the framework's effectiveness in delivering personalized content based on the identified aspects. Furthermore, the findings indicate a positive impact on student performance. This research, therefore, contributes significantly to the advancement of personalized content delivery within the mobile learning domain.</jats:p>
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    <month>03</month>
    <day>30</day>
    <year>2025</year>
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    <month>03</month>
    <day>30</day>
    <year>2025</year>
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  <pages>
  <first_page>31</first_page>
  <last_page>40</last_page>
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      <assertion explanation='Declaration' group_label='Declaration' group_name='Declaration' label='Conflicts of Interest' name='Declaration' order='2'>Based on my understanding, this article has no conflicts of interest.</assertion>
      <assertion explanation='Declaration' group_label='Declaration' group_name='Declaration' label='Funding Support' name='Declaration' order='3'>This article has not been sponsored or funded by any organization or agency. The independence of this research is a crucial factor in affirming its impartiality, as it has been conducted without any external sway.</assertion>
      <assertion explanation='Declaration' group_label='Declaration' group_name='Declaration' label='Ethical Approval and Consent to Participate' name='Declaration' order='4'>The data provided in this article is exempt from the requirement for ethical approval or participant consent.</assertion>
      <assertion explanation='Declaration' group_label='Declaration' group_name='Declaration' label='Data Access Statement and Material Availability' name='Declaration' order='5'>The adequate resources of this article are publicly accessible.</assertion>
      <assertion explanation='Declaration' group_label='Declaration' group_name='Declaration' label='Authors Contributions' name='Declaration' order='6'>The authorship of this article is contributed equally to all participating individuals.</assertion>
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  <doi>10.35940/ijrte.D7832.13060325</doi>
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