William Villegas-Ch published a dataset on figshare in May 2026 for modeling informal learning dynamics in digital higher education environments. The dataset is 4.4 MB and contains calibrated temporal interaction records of non-evaluative digital student activities. It provides dynamic engagement metrics capturing intensity, variability, irregularity, and persistence of participation.
Use Cases
- Analyzing temporal irregularity and sparsity patterns in informal learning based on dynamic engagement metrics.
- Modeling the intensity and persistence of student participation at the student-course level.
- Exploring associations between informal interaction patterns and global outcome variables.
- Comparing informal learning dynamics across different temporal resolutions and aggregation levels.
Strengths
- Dataset size is 4.4 MB, indicating a manageable download.
- The description provides specific statistical findings, such as a mean daily intensity of approximately 1.95 events.
- The dataset is licensed under CC-BY-4.0, allowing for open reuse and redistribution.
- The analysis framework is described as reproducible and methodologically rigorous.
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
- figshare
- Collection Method
- Likely integrates open datasets with calibrated and structurally coherent temporal interaction records.
- Freshness
- Last updated 2026-05-07 04:44:20; freshness should be verified.