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 |
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| 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 |
| 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. |
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| ISSN: | 1093-023X |
