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Promoting UAV autonomous aerial video to improve cross-cultural understanding, historical knowledge, and students’ perception

Bibliographic Data

ID21632154
AuthorsWayan Sintawati (0000-0003-2683-6976, Nanjing Normal University), Rustam Shadiev (0000-0001-5571-1158, Zhejiang University, corresponding author)
Year2025
Volume33
Issue1
Pages132-153
Publication date2025-01-02
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueInteractive Learning Environments (JOURNAL)
Journal identifiersISSN: 1049-4820 • E-ISSN: 1744-5191
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/10494820.2024.2335501
OpenAlexW4393364994
LanguageEN
Citations received2
References cited39

We designed a cross-cultural learning activity leveraging unmanned aerial vehicle (UAV) technology to enhance historical and cultural understanding among twenty university students from Indonesia and China. By recording and exchanging aerial videos of local cultural and historical sites using UAVs equipped with the latest AI features, students gained unique perspectives on these landmarks, unavailable through traditional ground-level photography. This study examined how such activities foster cross-cultural understanding and deepen historical knowledge, alongside participants' perceptions of UAV video production. Employing a mixed method approach, including video analysis, questionnaires, and interviews, we discovered that UAV technology not only facilitated a unique learning experience but also significantly impacted participants' cross-cultural and historical insights. The ease of UAV use and its effectiveness in cross-cultural education were particularly noted, with participants expressing intentions to use UAV technology in future learning contexts. Based on these findings, we offer recommendations for educators and researchers to integrate UAV technology into educational settings

Multimedia · Perception · Computer Science · Psychology · Robotics and Automated Systems

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Unique citing works2
Citations per year2
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2

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