Starting from Sora: A Scientometric Analysis of Generative Videos for Educational Purposes

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Bibliographic Details
Title: Starting from Sora: A Scientometric Analysis of Generative Videos for Educational Purposes
Language: English
Authors: Anqi Dou (ORCID 0009-0008-6323-6076), Wei Xu (ORCID 0000-0002-7224-1116), Ruijia Liu (ORCID 0009-0002-5989-7695)
Source: International Journal of Distance Education Technologies. 2025 23(1).
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Peer Reviewed: Y
Page Count: 19
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Descriptors: Video Technology, Audiovisual Aids, Artificial Intelligence, Citations (References), Publications, Educational Research, Outcomes of Education, Student Participation, Student Satisfaction, Digital Literacy, Communication (Thought Transfer), Educational Technology
DOI: 10.4018/IJDET.373234
ISSN: 1539-3100
1539-3119
Abstract: Generative videos for educational purposes have become a cutting-edge tool that uses advanced technology to create dynamic and interactive content. This study aims to conduct a scientometric analysis of generative videos for educational purposes using both VOSviewer and CitNetExplorer. Results and conclusions: The research findings indicate that the number of publications and citations in generative video research has fluctuated over the years, indicating changing interest and impact in this field. Among the top 10 most cited authors, sources, organizations, and countries, several key entities stand out as significant contributors to the research landscape. Popular research topics include education, technology, performance, and student-generated videos. Furthermore, the research suggests that generative videos can result in mixed educational outcomes, but improve student engagement and comprehension. They can effectively enhance learners' participation, satisfaction, communication skills, and digital literacy, fostering active learning and visual communication.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1470454
Database: ERIC
Description
Abstract:Generative videos for educational purposes have become a cutting-edge tool that uses advanced technology to create dynamic and interactive content. This study aims to conduct a scientometric analysis of generative videos for educational purposes using both VOSviewer and CitNetExplorer. Results and conclusions: The research findings indicate that the number of publications and citations in generative video research has fluctuated over the years, indicating changing interest and impact in this field. Among the top 10 most cited authors, sources, organizations, and countries, several key entities stand out as significant contributors to the research landscape. Popular research topics include education, technology, performance, and student-generated videos. Furthermore, the research suggests that generative videos can result in mixed educational outcomes, but improve student engagement and comprehension. They can effectively enhance learners' participation, satisfaction, communication skills, and digital literacy, fostering active learning and visual communication.
ISSN:1539-3100
1539-3119
DOI:10.4018/IJDET.373234