University Handball Study with ChatGPT Feedback Integration

56 undergraduate students participated in a randomized controlled trial comparing ChatGPT-based feedback to peer feedback in a handball course. The study assessed seven fundamental handball skills and student attitudes across cognitive, affective, and behavioral dimensions over 15 instructional sessions. Data includes pre-test and post-test scores from standardized fitness tests, expert-validated performance checklists, and an attitudes scale.

Use Cases

• Analyze the correlation between ChatGPT-based feedback and post-test scores across the seven fundamental handball skills.
• Compare pre-test and post-test results from standardized physical fitness tests between the experimental and control groups.
• Model student attitudes, segmented by cognitive, affective, and behavioral dimensions, against the type of feedback received.
• Examine the effect sizes (partial η²) reported for skill improvements to validate the intervention's impact.

Strengths

• Data originates from a structured 15-session instructional program with a randomized pre-test–post-test control group design.
• Performance was assessed using expert-validated checklists for seven fundamental handball skills.
• Results showed statistically significant differences with medium to very large effect sizes (partial η² = .33–.87).

Limitations

• Small sample size of 56 students limits generalizability of findings.
• Data is confined to university beginners with no prior formal handball training, not representing skilled athletes.
• The primary data is embedded within a 522.9 KB PDF, requiring extraction for computational analysis.

Provenance

Source

Ahmed Hassan Rakha

Collection Method

Data collected via standardized physical fitness tests, performance checklists, and an attitudes scale during a randomized controlled trial.

Time Range

One academic semester

Freshness

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Geography

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