Wang2025: 70 effect sizes from a meta-analysis of ChatGPT's impact on...
In RoBMA: Robust Bayesian Meta-Analyses
Wang2025 R Documentation
70 effect sizes from a meta-analysis of ChatGPT's impact on student learning
by \insertCitewang2025effect;textualRoBMA
Description
The data set contains Hedges' g effect sizes, standard errors,
sample sizes for experimental and control groups, and various study characteristics
including grade level, type of course, duration, learning model, role of ChatGPT,
and area of ChatGPT application. The meta-analysis examined the effect of ChatGPT
on students' learning performance, learning perception, and higher-order thinking
\insertCitewang2025effectRoBMA.
Usage
Wang2025
Format
A data.frame with 12 columns and 70 observations.
Value
a data.frame.
References
\insertAllCited
RoBMA documentation built on Sept. 10, 2025, 5:08 p.m.
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| Wang2025 | R Documentation |
70 effect sizes from a meta-analysis of ChatGPT's impact on student learning by \insertCitewang2025effect;textualRoBMA
Description
The data set contains Hedges' g effect sizes, standard errors, sample sizes for experimental and control groups, and various study characteristics including grade level, type of course, duration, learning model, role of ChatGPT, and area of ChatGPT application. The meta-analysis examined the effect of ChatGPT on students' learning performance, learning perception, and higher-order thinking \insertCitewang2025effectRoBMA.
Usage
Wang2025
Format
A data.frame with 12 columns and 70 observations.
Value
a data.frame.
References
\insertAllCitedR Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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