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Enhancing Sabah History Learning in Urban and Rural Schools Using Offline AI Support Systems

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Bibliographic Details
Title: Enhancing Sabah History Learning in Urban and Rural Schools Using Offline AI Support Systems
Language: English
Authors: Lee Bih Ni
Source: Online Submission. 2026.
Peer Reviewed: N
Page Count: 9
Publication Date: 2026
Document Type: Reports - Research
Descriptors: Artificial Intelligence, Technology Uses in Education, History Instruction, Foreign Countries, Rural Schools, Urban Schools, Learner Engagement, Comprehension, Academic Achievement, Access to Internet, Rural Urban Differences, Teachers, Readiness
Geographic Terms: Malaysia
Abstract: This study explores the use of offline artificial intelligence (AI) support systems to enhance history learning in urban and rural schools in Sabah, Malaysia, where disparities in digital access continue to affect educational quality and equity. Addressing the challenges of limited internet connectivity and infrastructural constraints, the research investigates how offline AI tools can improve student engagement, comprehension, and academic performance in history education. Using a qualitative synthesis of credible academic sources, the study examines differences in implementation and effectiveness across urban and rural contexts, while also considering teacher readiness, technological limitations, and policy implications. Findings indicate that offline AI systems significantly enhance accessibility to interactive learning materials, increase student participation, and contribute to improved learning outcomes, particularly in rural settings. The study concludes that offline AI presents a sustainable and inclusive solution for bridging the educational divide, supporting more equitable and effective history education in Sabah.
Abstractor: As Provided
Entry Date: 2026
Accession Number: ED679675
Database: ERIC
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED679675
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PubType: Report
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IllustrationInfo
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  Data: Enhancing Sabah History Learning in Urban and Rural Schools Using Offline AI Support Systems
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  Data: <searchLink fieldCode="AR" term="%22Lee+Bih+Ni%22">Lee Bih Ni</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Online+Submission%22"><i>Online Submission</i></searchLink>. 2026.
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  Data: 9
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  Data: 2026
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  Data: Reports - Research
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  Data: <searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22History+Instruction%22">History Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Rural+Schools%22">Rural Schools</searchLink><br /><searchLink fieldCode="DE" term="%22Urban+Schools%22">Urban Schools</searchLink><br /><searchLink fieldCode="DE" term="%22Learner+Engagement%22">Learner Engagement</searchLink><br /><searchLink fieldCode="DE" term="%22Comprehension%22">Comprehension</searchLink><br /><searchLink fieldCode="DE" term="%22Academic+Achievement%22">Academic Achievement</searchLink><br /><searchLink fieldCode="DE" term="%22Access+to+Internet%22">Access to Internet</searchLink><br /><searchLink fieldCode="DE" term="%22Rural+Urban+Differences%22">Rural Urban Differences</searchLink><br /><searchLink fieldCode="DE" term="%22Teachers%22">Teachers</searchLink><br /><searchLink fieldCode="DE" term="%22Readiness%22">Readiness</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Malaysia%22">Malaysia</searchLink>
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  Data: This study explores the use of offline artificial intelligence (AI) support systems to enhance history learning in urban and rural schools in Sabah, Malaysia, where disparities in digital access continue to affect educational quality and equity. Addressing the challenges of limited internet connectivity and infrastructural constraints, the research investigates how offline AI tools can improve student engagement, comprehension, and academic performance in history education. Using a qualitative synthesis of credible academic sources, the study examines differences in implementation and effectiveness across urban and rural contexts, while also considering teacher readiness, technological limitations, and policy implications. Findings indicate that offline AI systems significantly enhance accessibility to interactive learning materials, increase student participation, and contribute to improved learning outcomes, particularly in rural settings. The study concludes that offline AI presents a sustainable and inclusive solution for bridging the educational divide, supporting more equitable and effective history education in Sabah.
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  Data: As Provided
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  Data: 2026
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  Data: ED679675
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 9
    Subjects:
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Technology Uses in Education
        Type: general
      – SubjectFull: History Instruction
        Type: general
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Rural Schools
        Type: general
      – SubjectFull: Urban Schools
        Type: general
      – SubjectFull: Learner Engagement
        Type: general
      – SubjectFull: Comprehension
        Type: general
      – SubjectFull: Academic Achievement
        Type: general
      – SubjectFull: Access to Internet
        Type: general
      – SubjectFull: Rural Urban Differences
        Type: general
      – SubjectFull: Teachers
        Type: general
      – SubjectFull: Readiness
        Type: general
      – SubjectFull: Malaysia
        Type: general
    Titles:
      – TitleFull: Enhancing Sabah History Learning in Urban and Rural Schools Using Offline AI Support Systems
        Type: main
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            NameFull: Lee Bih Ni
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              M: 04
              Type: published
              Y: 2026
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            – TitleFull: Online Submission
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