Scoping Review Data on AI-Generated Video in Education, 786 Records

786 bibliographic records from Web of Science and Scopus, screened to 65 studies for a scoping review on AI-generated video (AIGV) in education. The dataset was created by Nguyen Hanh and uploaded in May 2026, providing publication characteristics, educational contexts, and technology types. It supports transparency and reproducibility for research on AI in education.

Use Cases

• Reproduce or extend the scoping review based on the provided screening data and inclusion criteria.
• Conduct bibliometric analysis on AI-generated video research using the bibliographic records.
• Analyze trends in educational contexts and technology types for AI-generated video applications.

Strengths

• Includes 786 initial records and the results of a screening process leading to a final sample of 65 studies.
• Provides structured data on publication characteristics, educational contexts, and technology types as described.
• Released under a permissive CC-BY-4.0 license, facilitating reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the final structured data is unknown, which may limit suitability assessment.
• Data may reflect source bias inherent to the Web of Science and Scopus databases used for retrieval.

Provenance

Source

Web of Science and Scopus databases.

Collection Method

Retrieved using a structured search strategy combining keywords related to generative AI video and educational contexts.

Freshness

Last updated 2026-05-23 11:25:28; freshness should be verified.