University Student Survey on Generative AI for Personalized English Learning

386 valid survey responses from university students, collected via convenience sampling. The dataset was analyzed using structural equation modeling with SmartPLS 4.0 software. The research was authored by Li Wang and last updated on 2026-05-05.

Use Cases

• Modeling technology acceptance determinants based on performance expectancy and effort expectancy.
• Analyzing the mediating role of flow experience on behavioral intention.
• Investigating how personal innovativeness moderates the link between hedonic motivation and intention.

Strengths

• Dataset contains 386 valid survey responses.
• Analysis was conducted using structural equation modeling, suggesting a structured quantitative approach.
• The research extends the UTAUT2 theoretical model with specific mediators and moderators.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic or sampling bias inherent to the convenience sampling method.

Provenance

Source

Li Wang via figshare

Collection Method

Survey conducted among university students using a convenience sampling method.

Freshness

Last updated 2026-05-05 05:29:03; freshness should be verified.