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Blending Mixed Reality and Generative AI to Teach Geography: An MR+GenAI Learning Environment

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Title: Blending Mixed Reality and Generative AI to Teach Geography: An MR+GenAI Learning Environment
Language: English
Authors: Yupei Duan, Xinhao Xu, Hao He, Shangman Li, Yuanyuan Gu
Source: Journal of Interactive Learning Research. 2025 36(1):83-100.
Availability: Association for the Advancement of Computing in Education. P.O. Box 719, Waynesville, NC 28786. Tel: 828-246-9558; Fax: 828-246-9557; e-mail: info@aace.org; Web site: http://www.aace.org
Peer Reviewed: Y
Page Count: 18
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Computer Simulation, Artificial Intelligence, Geography Instruction, Educational Environment, Educational Technology, Technology Uses in Education, Knowledge Level, Cartography, Map Skills, Cognitive Processes, Difficulty Level, Outcomes of Education, Foreign Students, Visual Aids, Higher Education, College Science
ISSN: 1093-023X
Abstract: This study examines "VirtualGeo", a Mixed Reality and Generative AI platform designed to enhance U.S. geography knowledge among international students. By integrating immersive technologies, VirtualGeo allows students to engage with spatial content within an interactive digital landscape. Using a mixed-methods approach, the study evaluated the platform's impact through pre- and post-tests measuring geographic knowledge, map-drawing skills, and cognitive load, complemented by qualitative interviews to capture students' learning experiences. Findings show significant gains in international students' geographic understanding and underscore VirtualGeo's potential to support adaptive and student-centered learning. Implications suggest that VirtualGeo is a scalable tool to teach geography and other spatial disciplines, which highlights new possibilities for research, policy, and practice in digital education.
Abstractor: As Provided
Entry Date: 2025
Access URL: https://www.learntechlib.org/primary/p/225218/
Accession Number: EJ1459827
Database: ERIC
FullText Text:
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IllustrationInfo
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  Data: Blending Mixed Reality and Generative AI to Teach Geography: An MR+GenAI Learning Environment
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  Data: <searchLink fieldCode="AR" term="%22Yupei+Duan%22">Yupei Duan</searchLink><br /><searchLink fieldCode="AR" term="%22Xinhao+Xu%22">Xinhao Xu</searchLink><br /><searchLink fieldCode="AR" term="%22Hao+He%22">Hao He</searchLink><br /><searchLink fieldCode="AR" term="%22Shangman+Li%22">Shangman Li</searchLink><br /><searchLink fieldCode="AR" term="%22Yuanyuan+Gu%22">Yuanyuan Gu</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Journal+of+Interactive+Learning+Research%22"><i>Journal of Interactive Learning Research</i></searchLink>. 2025 36(1):83-100.
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  Data: Association for the Advancement of Computing in Education. P.O. Box 719, Waynesville, NC 28786. Tel: 828-246-9558; Fax: 828-246-9557; e-mail: info@aace.org; Web site: http://www.aace.org
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  Data: Y
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  Data: 18
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  Data: 2025
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  Data: Journal Articles<br />Reports - Research
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  Data: 1093-023X
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study examines "VirtualGeo", a Mixed Reality and Generative AI platform designed to enhance U.S. geography knowledge among international students. By integrating immersive technologies, VirtualGeo allows students to engage with spatial content within an interactive digital landscape. Using a mixed-methods approach, the study evaluated the platform's impact through pre- and post-tests measuring geographic knowledge, map-drawing skills, and cognitive load, complemented by qualitative interviews to capture students' learning experiences. Findings show significant gains in international students' geographic understanding and underscore VirtualGeo's potential to support adaptive and student-centered learning. Implications suggest that VirtualGeo is a scalable tool to teach geography and other spatial disciplines, which highlights new possibilities for research, policy, and practice in digital education.
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  Data: 2025
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 18
        StartPage: 83
    Subjects:
      – SubjectFull: Computer Simulation
        Type: general
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Geography Instruction
        Type: general
      – SubjectFull: Educational Environment
        Type: general
      – SubjectFull: Educational Technology
        Type: general
      – SubjectFull: Technology Uses in Education
        Type: general
      – SubjectFull: Knowledge Level
        Type: general
      – SubjectFull: Cartography
        Type: general
      – SubjectFull: Map Skills
        Type: general
      – SubjectFull: Cognitive Processes
        Type: general
      – SubjectFull: Difficulty Level
        Type: general
      – SubjectFull: Outcomes of Education
        Type: general
      – SubjectFull: Foreign Students
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      – SubjectFull: Visual Aids
        Type: general
      – SubjectFull: Higher Education
        Type: general
      – SubjectFull: College Science
        Type: general
    Titles:
      – TitleFull: Blending Mixed Reality and Generative AI to Teach Geography: An MR+GenAI Learning Environment
        Type: main
  BibRelationships:
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      – PersonEntity:
          Name:
            NameFull: Yupei Duan
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            NameFull: Xinhao Xu
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            NameFull: Hao He
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            NameFull: Shangman Li
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            NameFull: Yuanyuan Gu
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              M: 01
              Type: published
              Y: 2025
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              Value: 1093-023X
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              Value: 36
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            – TitleFull: Journal of Interactive Learning Research
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