Indonesian AI Undergraduate Curricula Analysis Based on National Documents

Irwansyah Irwansyah provides a dataset, coding framework, and source audit trail supporting a study on responsible artificial intelligence in Indonesian undergraduate AI curricula. The data is derived from a national document analysis, with public source URLs included for verification. The dataset was last updated on May 12, 2026, and is shared under a CC-BY-4.0 license.

Use Cases

• Analyze the integration of responsible AI principles in undergraduate programs based on the described document analysis.
• Compare curriculum structures and content across different Indonesian institutions based on the derived index tables.
• Audit and verify the source documents used in the study based on the provided public URLs in the audit trail.
• Develop or refine coding frameworks for analyzing educational policy documents based on the provided framework.

Strengths

• Includes a source audit trail with public URLs for document verification.
• Provides a derived coding framework and index tables for analysis.
• Released under a permissive CC-BY-4.0 license.

Limitations

• The dataset is small at 230.2 KB, indicating a limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare, authored by Irwansyah Irwansyah.

Collection Method

Derived from a national document analysis of Indonesian undergraduate AI curricula.

Freshness

Last updated 2026-05-12 05:46:07; freshness should be verified.

Geography

Indonesia