Educational Video Game Effectiveness Data for 45 Computer Science Students

45 computer science students participated in a study comparing the effectiveness of different educational video game genres. The dataset contains pre-test and post-test scores, demographic data from 5 questionnaire items, and student perceptions from 10 items, including 9 Likert-scale and 1 open-ended response. Data was collected by Daniel López Fernández to support the article with DOI 10.1016/j.entcom.2023.100588 and was last updated on the platform in October 2025.

Use Cases

• Compare learning gains based on pre-test and post-test scores across different game genres.
• Analyze student perceptions and attitudes using the 9-item Likert-scale questionnaire.
• Correlate demographic factors with learning outcomes or perceptions.
• Evaluate the effectiveness of specific educational video game designs mentioned in the source article.

Strengths

• Data from 45 participants provides a basis for quantitative analysis.
• Includes both quantitative scores (pre/post-tests) and qualitative perceptions (open-ended item).
• All data is anonymized to protect participant identity.

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection after download.
• The sample size of 45 students may limit the generalizability of findings.
• Description metadata is limited; actual data structure and quality must be verified.

Provenance

Source

Daniel López Fernández, associated with e-cienciaDatos Harvested Dataverse.

Collection Method

Likely collected via educational experiment and questionnaire from computer science students.

Time Range

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Freshness

Last updated 2025-10-14 21:49:37; freshness should be verified.

Geography

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