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Augmented Reality Enhanced Analytics for Education: A Systematic Review

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  • Author(s): Manjeet Singh Usma (ORCID Manjeet Singh Usma (ORCID 0000-0001-7771-9361); Shaun Bangay; Atul Sajjanhar (ORCID Atul Sajjanhar (ORCID 0000-0002-0445-0573)
  • Language:
    English
  • Source:
    Journal of Learning Analytics. 2025 12(3):126-155.
  • Publication Date:
    2025
  • Document Type:
    Journal Articles
    Information Analyses
  • Additional Information
    • Availability:
      Society for Learning Analytics Research. 121 Pointe Marsan, Beaumont, AB T4X 0A2, Canada. Tel: +61-429-920-838; e-mail: info@solaresearch.org; Web site: https://learning-analytics.info/index.php/JLA/index
    • Peer Reviewed:
      Y
    • Source:
      38
    • Intended Audience:
      Teachers; Students
    • Education Level:
      Higher Education
      Postsecondary Education
      Elementary Secondary Education
    • Subject Terms:
      Literature Reviews; Computer Simulation; Physical Environment; Simulated Environment; Synthesis; Information Technology; Technology Uses in Education; Educational Technology; Higher Education; Elementary Secondary Education; Learning Analytics; Learner Engagement; Student Behavior; Individualized Instruction; Computer Assisted Instruction; Evaluation Methods
    • ISSN:
      1929-7750
    • Abstract:
      This systematic literature review of augmented reality (AR) applications utilizing enhanced analytics in education settings surveys publications from 2000 to 2025, specifically targeting AR use in primary, secondary, and higher-education sectors. With the growing use of AR in such settings, this review informs educators, application designers, and scholars on insights and evidence gained in current and past studies on the use of enhanced analytics in AR applications. There are relative advantages and challenges in using AR enhanced analytics in educational settings, with the potential to contribute to knowledge in understanding students' engagement, motivation, behaviour, learning experiences, and acquisition of skills. The synergy of AR and learning analytics (LA) is significant as it enables richer, unobtrusive, real-time insights into student learning processes, advancing research beyond traditional self-report measures. The review demonstrates that AR enhanced analytics expand measures of engagement and effectiveness, while also pointing to opportunities for broader extended reality (XR) integration and methodological standardization.
    • Abstract:
      As Provided
    • Publication Date:
      2026
    • Accession Number:
      EJ1492401