Survey Responses for Evaluating AI-Generated Educational Video Quality, 221 Participants

Anonymized survey responses from 221 undergraduate students, postgraduate students, alumni, and lecturers in educational technology at a large university in Vietnam. Data were collected via an online questionnaire in April 2026 to develop and validate a measurement framework for AI-generated educational video quality. The dataset includes 76 variables covering demographics, prior experience, and Likert-scale responses across eight quality dimensions.

Use Cases

• Validate measurement frameworks for AI-generated educational video quality based on the eight dimensions described.
• Analyze correlations between demographic factors and perceptions of AI video quality based on participant role and experience.
• Benchmark AI-generated educational tools based on user experience data from the Likert-scale responses.
• Study the adoption and evaluation of AI tools in education based on the multiple-response variables for AI tools and video sources.

Strengths

• Includes 221 survey responses from a defined population of students, alumni, and lecturers.
• Contains 76 variables, including computed mean scores for eight distinct measurement dimensions.
• Data collection method and date (April 2026 via Microsoft Forms) are explicitly stated.
• All measurement items use a consistent five-point Likert scale for comparability.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data reflects a specific geographic and institutional context (a large university in Vietnam), which may limit generalizability.

Provenance

Source

figshare

Collection Method

Online questionnaire administered via Microsoft Forms.

Time Range

April 2026

Freshness

Last updated 2026-05-12 15:34:15; freshness should be verified.

Geography

Large university in Vietnam