Post-Test Reading Comprehension Scores from a ChatGPT-Mediated Learning Study

Post-test reading comprehension scores from a quasi-experimental study of 60 male preparatory-year students at a public university in Saudi Arabia. The data was collected by author Naji Alyami to compare the effectiveness of a ChatGPT-mediated mind mapping technique against conventional teaching methods. The dataset was last updated on May 18, 2026, and is shared under a CC-BY-4.0 license.

Use Cases

• Compare post-test reading comprehension scores between experimental and control groups based on the study design described.
• Analyze the effect size of an AI-mediated pedagogical intervention based on the reported statistical results (U=180.00, p<.001, r=0.52).
• Investigate the relationship between qualitative student feedback and quantitative test outcomes based on the mixed-methods approach mentioned.

Strengths

• Dataset is based on a structured 10-week intervention with a defined sample size of 60 students.
• Study design includes both quantitative (pre/post-tests) and qualitative (semi-structured interviews) data collection.
• Statistical results, including test statistic (U=180.00) and effect size (r=0.52), are explicitly reported in the description.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is from a specific, small cohort (60 male students in Saudi Arabia), limiting generalizability.

Provenance

Source

figshare, uploaded by Naji Alyami.

Collection Method

Data gathered through pre- and post-tests of reading comprehension and semi-structured interviews as part of a quasi-experimental study.

Freshness

Last updated 2026-05-18 17:30:07; freshness should be verified.

Geography

A public university in Saudi Arabia.