Correlations of Key Variables: Student AI Use and Motivation Survey Data

Survey data from undergraduate students in business analytics courses, collected by author Yang Cheng. The dataset contains 5.5 KB of data in XLS format, last updated on June 4, 2026. It examines correlations between perceptions of AI-supported learning and academic and career intentions.

Use Cases

• Analyze the relationship between perceived AI 'fun' and 'coolness' and continued usage intentions.
• Test structural models linking AI enhancement perceptions to academic interest in business analytics.
• Investigate the mediating role of academic interest between AI usage intentions and career-choice intentions.

Strengths

• Data is openly licensed under CC-BY-4.0.
• The 5.5 KB size indicates a focused, structured dataset.
• The study design is grounded in established theories (Social Cognitive Career Theory, motivation theory).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small in scale (5.5 KB), indicating limited scope.

Provenance

Source

figshare, author Yang Cheng.

Collection Method

Survey data collected from undergraduate students enrolled in business analytics courses.

Freshness

Last updated 2026-06-04 17:32:26; freshness should be verified.