85 secondary education students aged 12-13 participated in a quasi-experimental study comparing Scratch to a 3D robotics platform. A validated 28-item Computational Thinking test measured pre- and post-intervention scores for concepts like directions, loops, and conditionals. The dataset, authored by Luis Castro-San Martin and harvested from Dataverse, was last updated in October 2025.
Use Cases
- Compare learning outcomes for computational thinking concepts based on pre- and post-test scores.
- Analyze the differential impact of a 3D robotics platform versus Scratch on specific skills like loops and conditionals.
- Evaluate the effectiveness of a seven-session educational intervention based on quantitative test results.
- Study student empowerment and mastery metrics in relation to platform type mentioned in the description.
Strengths
- Includes pre- and post-test scores from a validated 28-item Computational Thinking questionnaire.
- Data covers 85 students across control and experimental groups in a structured seven-session intervention.
- Scores are provided for specific computational concepts: Directions, Loops, Conditionals, and Functions.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- e-cienciaDatos Harvested Dataverse
- Collection Method
- Quasi-experimental design with non-equivalent groups, using a pre- and post-intervention test.
- Time Range
- null
- Freshness
- Last updated 2025-10-14 21:36:18; freshness should be verified.
- Geography
- null