David Paul's 4.3 KB CSV file presents survey results validating a human-AI synergy framework for ethical language education. The data likely contains responses from 48 language educators and practitioners, collected as part of an empirical validation study. The dataset was last updated on May 28, 2026.
Use Cases
- Validate ethical governance models for AI in education based on survey dimensions.
- Analyze educator perceptions of AI tools like intelligent tutoring systems and conversational agents.
- Study agreement levels on dimensions such as fairness, autonomy, and data rights in AI-assisted learning.
Strengths
- Survey results showed moderate to strong agreement on all five dimensions with high internal consistency.
- The dataset is openly licensed under CC-BY-4.0, facilitating reuse and analysis.
- The description provides a detailed theoretical and ethical context for the empirical data.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- The dataset is very small (4.3 KB), indicating limited scope.
Provenance
- Source
- David Paul, via figshare.
- Collection Method
- Initial structured survey of 48 language educators and practitioners.
- Freshness
- Last updated 2026-05-28 04:51:05; freshness should be verified.
- Geography
- Likely includes multilingual settings such as India, as mentioned in the description.