Dataset on the Impact of Programming Platforms with Simulated Robotics on Computational Th

161 secondary school students aged 14 from Madrid, Spain, participated in a quasi-experimental study evaluating three programming environments. The dataset includes pre-test and post-test scores on a validated Computational Thinking assessment, programming exam scores, and item-level data for CT subskills. Author Daniel Rodríguez Cabello contributed this anonymized dataset, last updated in October 2025.

Use Cases

• Reproduce statistical analysis of the original study based on pre-test/post-test scores and independent variables.
• Conduct further research on the impact of programming platforms (Scratch, Python, Kibotics) on Computational Thinking skill development.
• Analyze the effect of tools on reducing gender gaps in CT education based on the included gender variable.
• Test machine learning models for educational data mining using the provided raw and normalized scores.

Strengths

• Includes data from 161 participants, providing a substantive sample size for analysis.
• Contains both raw scores and normalized results on a 0–10 scale, facilitating comparative analysis.
• Uses a validated Computational Thinking assessment instrument, suggesting methodological rigor.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for some modeling tasks.

Provenance

Source

Daniel Rodríguez Cabello via e-cienciaDatos Harvested Dataverse.

Collection Method

Collected during a quasi-experimental study in secondary education.

Time Range

null

Freshness

Last updated 2025-10-14 21:33:24; freshness should be verified.

Geography

Madrid, Spain.