575 university students participated in a study measuring the educational impact of serious games in a spreadsheet course. The dataset includes survey responses, academic performance records, and engagement metrics, categorized into control and experimental groups with game-type subgroups. Rodriguez Calzada, Lorena authored this dataset, which was last updated on October 14, 2025.
Use Cases
- Compare student academic performance between control and experimental groups based on the described metrics.
- Analyze correlations between engagement metrics and academic outcomes mentioned in the description.
- Evaluate the differential impact of various serious game types on learning outcomes as suggested by the subgroup structure.
- Model student outcomes using combined survey, performance, and engagement data as described.
Strengths
- Data from 575 university students provides a substantial sample size.
- Combines multiple data types: survey responses, academic performance records, and engagement metrics.
- Structured experimental design with control and experimental groups, plus subgroups based on game type.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- Rodriguez Calzada, Lorena via e-cienciaDatos Harvested Dataverse.
- Collection Method
- Survey responses, academic performance records, and engagement metrics collected from students in a university spreadsheet course.
- Time Range
- null
- Freshness
- Last updated 2025-10-14 21:42:01; freshness should be verified.
- Geography
- null