ChatGPT Feedback Effects on University Handball Skill Acquisition

56 undergraduate students with no prior formal handball training participated in a randomized controlled trial over 15 instructional sessions. The study measured seven fundamental handball skills and student attitudes across cognitive, affective, and behavioral dimensions. Data was collected via standardized fitness tests, expert-validated performance checklists, and an attitudes scale.

Use Cases

• Analyze pre-test and post-test scores for seven fundamental handball skills to quantify ChatGPT feedback impact.
• Compare attitude scale scores across cognitive, affective, and behavioral dimensions between experimental and control groups.
• Model the relationship between structured corrective feedback criteria and skill acquisition gains using performance checklist data.
• Assess effect sizes (partial η²) reported from .33 to .87 for differences in skill outcomes between intervention groups.

Strengths

• Data originates from a randomized pre-test–post-test control group design, a strong experimental methodology.
• Outcomes are measured using expert-validated performance checklists assessing seven specific handball skills.
• Results showed statistically significant differences with high statistical power (≥.95) after Bonferroni adjustment.

Limitations

• Small sample size of 56 students limits generalizability of findings.
• Data is confined to a single university handball course, introducing potential institutional and demographic bias.
• The dataset is very small (23.7 KB), containing summary results rather than raw participant-level data.

Provenance

Source

Ahmed Hassan Rakha via figshare.

Collection Method

Data collected via standardized physical fitness tests, performance checklists, and attitudes scales during a 15-session instructional program.

Time Range

Coverage of one academic semester.

Freshness

Last updated March 2026.

Geography

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