An automated predictive model for evaluating narrative cohesion in children’s stories: a computational linguistic approach considering Gérard Genette’s narrative structure theory DOI Creative Commons
Jawharah Alasmari, Mohammed Alzyoudi,

Mohammed Alshehri

et al.

International Journal of Adolescence and Youth, Journal Year: 2025, Volume and Issue: 30(1)

Published: May 12, 2025

Language: Английский

Starting From Sora DOI Open Access

Anqi Dou,

Wei Xu, Ruijia Liu

et al.

International Journal of Distance Education Technologies, Journal Year: 2025, Volume and Issue: 23(1), P. 1 - 19

Published: April 18, 2025

Generative videos for educational purposes have become a cutting-edge tool that uses advanced technology to create dynamic and interactive content. This study aims conduct scientometric analysis of generative using both VOSviewer CitNetExplorer. Results conclusions: The research findings indicate the number publications citations in video has fluctuated over years, indicating changing interest impact this field. Among top 10 most cited authors, sources, organizations, countries, several key entities stand out as significant contributors landscape. Popular topics include education, technology, performance, student-generated videos. Furthermore, suggests can result mixed outcomes, but improve student engagement comprehension. They effectively enhance learners' participation, satisfaction, communication skills, digital literacy, fostering active learning visual communication.

Language: Английский

Citations

0

An automated predictive model for evaluating narrative cohesion in children’s stories: a computational linguistic approach considering Gérard Genette’s narrative structure theory DOI Creative Commons
Jawharah Alasmari, Mohammed Alzyoudi,

Mohammed Alshehri

et al.

International Journal of Adolescence and Youth, Journal Year: 2025, Volume and Issue: 30(1)

Published: May 12, 2025

Language: Английский

Citations

0