Graduate Student Perceptions and Behaviors on Generative AI and Academic Integrity

A study dataset examining the impact of generative AI on academic integrity, focusing on graduate students' perceptions and behaviors. The data was authored by Yanyan Hu and published on the Harvard Dataverse platform. The record was last updated on June 30, 2026.

Use Cases

• Analyzing survey responses on AI tool usage in academic work (inferred from domain, verify after download)
• Modeling factors influencing student perceptions of academic integrity (inferred from domain, verify after download)
• Comparing self-reported behaviors across different student demographics (inferred from domain, verify after download)

Strengths

• Published on the Harvard Dataverse platform.
• Authored by a named researcher (Yanyan Hu).
• Last update timestamp is recorded (2026-06-30 12:27:36).

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license information are unknown.

Provenance

Source

Harvard Dataverse

Collection Method

Likely contains survey or interview data, as inferred from the study title.

Freshness

Last updated 2026-06-30 12:27:36.