Automated Feedback Reports for Team Innovation in Accounting Education

17.5 MB of mixed-methods data collected by researcher Julia Venter, last updated in May 2026. The dataset consists of feedback reports generated by an automated feedback system. These reports were analyzed using quantitative scoring of AI-generated feedback and qualitative analysis.

Use Cases

• Evaluate the effectiveness of AI-generated feedback based on quantitative scoring data
• Analyze qualitative insights into the nature of automated feedback for team projects
• Study the relationship between feedback cycles and team innovation outcomes
• Benchmark automated feedback system performance across design iterations

Strengths

• Data was collected using a mixed-methods approach combining quantitative and qualitative analysis.
• The research employed a design-based approach with multiple cycles of implementation and refinement.
• The dataset is 17.5 MB in size and available in DOCX and XLSX formats.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Julia Venter via figshare

Collection Method

Mixed-method data collection using surveys and automated feedback system reports.

Freshness

Last updated 2026-05-28 13:16:21