Survey data explores the interdependence between recommendations for AI-based auto assessment tools and student acceptance of such tools. The dataset was authored by Wasiq Khan and last updated on April 15, 2026. It is stored in an XLS file with a size of 5.5 KB.
Use Cases
- Analyze correlations between tool recommendation and student acceptance based on survey responses.
- Model factors influencing student attitudes towards AI-based assessment tools.
- Evaluate the perceived interdependence of variables related to AI tool usage in education.
Strengths
- Dataset is openly licensed under CC-BY-4.0.
- File size is 5.5 KB, indicating a compact and focused dataset.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- figshare
- Freshness
- Last updated 2026-04-15 17:45:06; freshness should be verified.