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Exploring the research landscape of scenario and video-based learning: A bibliometric and content analysis from 2018-2024

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  • Chau Kien Tsong

  • Qiaolin Zheng

  • Wan Ahmad Jaafar Wan Yahaya

Abstract

This study investigates the research landscape of scenario and video-based learning through a combined bibliometric and content analysis, guided by the PRISMA framework. A Scopus database search (2018-2024) identified 965 relevant articles (from 8,415 initially). Bibliometric analysis, utilizing VOS-viewer, assessed publication trends, citation networks, and thematic clusters, revealing a growing body of research in intelligent and e-learning systems. Detailed content analysis examined methodologies and samples, highlighting an increasing use of quantitative methods (RCTs, quasi-experimental designs) and diverse samples including medical/software engineering students and professional trainees. Findings indicate research focuses on knowledge gain, performance improvement, and user satisfaction, with emerging interest in VR/AR/simulation technologies. This study provides a roadmap for future research directions, including longitudinal assessments, exploration of user preferences, and innovative technological integration to enhance engagement and effectiveness in varied learning environments.

Suggested Citation

  • Chau Kien Tsong & Qiaolin Zheng & Wan Ahmad Jaafar Wan Yahaya, 2025. "Exploring the research landscape of scenario and video-based learning: A bibliometric and content analysis from 2018-2024," International Journal of Innovative Research and Scientific Studies, Innovative Research Publishing, vol. 8(8), pages 276-295.
    • Handle: RePEc:aac:ijirss:v:8:y:2025:i:8:p:276-295:id:10589
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