Exploring the research landscape of scenario and video-based learning: A bibliometric and content analysis from 2018-2024
Year: 2025
Type: article
Study design: Systematic Review
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.
Authors: Qiaolin Zheng, Chau Kien Tsong, Wan Ahmad Jaafar Wan Yahaya
Institution: Universiti Sains Malaysia
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4415017888
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