Survey Data on University Student Adoption of Smart Classroom Platforms in China

Survey data from 357 Chinese university students collected for a study on the continued adoption of smart classroom platforms. The research uses the Unified Theory of Acceptance and Use of Technology (UTAUT) model and fuzzy-set qualitative comparative analysis (fsQCA). The dataset was authored by zhao boyang and last updated on 2026-05-16.

Use Cases

• Analyze configurational pathways to technology adoption based on UTAUT constructs like performance expectancy and effort expectancy.
• Identify key factors driving continued platform use based on survey data covering facilitating conditions and social influence.
• Model student adoption behavior for smart classroom platforms characterized by personalized learning and integrated data analytics.
• Validate findings from fuzzy-set qualitative comparative analysis (fsQCA) on technology acceptance in educational contexts.

Strengths

• Survey data from 357 respondents provides a substantive sample size for analysis.
• Analysis is based on a well-established theoretical framework (UTAUT).
• The dataset is openly licensed under CC-BY-4.0.

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 bias inherent to a single-country (China) survey sample.

Provenance

Source

zhao boyang

Collection Method

Survey data collection.

Freshness

Last updated 2026-05-16 04:06:40; freshness should be verified.

Geography

China