Initial Teacher Training and In-Service Practice in Programming, Robotics, and Machine Learning. The dataset was authored by Esteban Vazquez-Cano and hosted on Harvard Dataverse. It was last updated on April 14, 2026.
Use Cases
- Analyze teacher competency development based on training in programming, robotics, and machine learning.
- Compare initial training versus in-service practice outcomes based on the described educational domains.
- Model factors influencing successful technology integration in classrooms based on teacher training data.
Strengths
- Dataset is hosted on the authoritative Harvard Dataverse platform.
- Last update date is explicitly provided as 2026-04-14.
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
- Harvard Dataverse
- Collection Method
- Likely collected via surveys or educational program records, as inferred from the description.
- Time Range
- null
- Freshness
- Last updated 2026-04-14 20:10:07; freshness should be verified.
- Geography
- null