ChatGPT-Mediated Mind Maps for Reading Comprehension, 60 Students

Sample RC mind maps generated with ChatGPT contains data from a quasi-experimental mixed-methods study on enhancing reading comprehension among English as a Foreign Language learners. The dataset was authored by Naji Alyami and published on figshare, with a last update in May 2026. It includes pre- and post-test scores and qualitative interview data from 60 male preparatory-year students at a public university in Saudi Arabia.

Use Cases

• Analyze the effectiveness of AI-mediated learning tools based on pre- and post-test score comparisons.
• Study student perceptions of AI-generated educational content based on qualitative interview data.
• Investigate the impact of mind mapping techniques on complex idea breakdown based on student feedback.
• Evaluate the relationship between technology access and learning outcomes based on reported student difficulties.

Strengths

• Includes data from a controlled study with 60 participants split into experimental and control groups.
• Quantitative results show a statistically significant improvement with a medium-to-large effect size (r=0.52).
• Combines quantitative test scores with qualitative interview data for mixed-methods analysis.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 9.5 KB, indicating limited scope.

Provenance

Source

Naji Alyami via figshare.

Collection Method

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

Time Range

Covers a 10-week intervention period.

Freshness

Last updated 2026-05-18 17:30:01; freshness should be verified.

Geography

Data collected from a public university in Saudi Arabia.