<p>Measurement Model Reliability and Validity.</p>

500 fashion design students across 18 Chinese universities participated in a survey examining teacher support, AI usage, and learning outcomes. The dataset, created by Zhiyi Zhang and last updated in May 2026, contains results analyzed via structural equation modeling to test a chain mediation model. The 9.5 KB file is available in XLS format under a CC-BY-4.0 license.

Use Cases

• Modeling the relationship between technical teacher support and AI tool adoption based on the described structural equation model.
• Analyzing the mediating role of creative design capability between AI usage and learning outcomes as described in the study.
• Investigating differential impacts of pedagogical versus emotional support dimensions on technology adoption behavior mentioned in the description.
• Benchmarking AI integration strategies in creative education based on the evidence-based findings from the survey.

Strengths

• Data from 500 respondents provides a substantial sample for analysis.
• Clear theoretical grounding in Technology Acceptance Model and Social Cognitive Theory is described.
• Specific mediation results are reported, such as a 62.3% mediated association between technical support and outcomes.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data reflects a specific geographic and temporal context (Chinese universities, study period not specified), which may limit generalizability.

Provenance

Source

Survey conducted by author Zhiyi Zhang, hosted on figshare.

Collection Method

Data collected via survey from fashion design students and analyzed using structural equation modeling.

Time Range

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Freshness

Last updated 2026-05 17:30:28; freshness should be verified.

Geography

Data collected from 18 universities in China.