Student Experiences with R Shiny and AI Tools in Undergraduate Statistics

Two anonymous data files support a paper on students' experiences with R Shiny development and AI tools in an undergraduate computational statistics course. One file contains survey responses imported from Google Forms, and the other contains anonymized student examination grades. The data is not publicly available due to privacy concerns but may be accessed upon request to the corresponding author.

Use Cases

• Analyzing student survey responses about their experiences with R Shiny development.
• Correlating student examination grades with their reported use of AI tools.
• Studying pedagogical outcomes in computational statistics courses based on survey and grade data.

Strengths

• Data is directly associated with a published research paper, providing academic context.
• Two distinct data sources (survey responses and grades) allow for multi-faceted analysis.
• All information is anonymized to protect participant privacy.

Limitations

• The data is not publicly available for immediate download; access requires a request to the author.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file size are unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Likely collected via Google Forms surveys and course grade records.

Freshness

Last updated 2026-05-30 03:03:51.