| data_selfexplain {esci} | R Documentation |
SelfExplain - Ch15 - from McEldoon et al. (2013)
Description
Self-explaining is a learning strategy where students write or say their own explanations of the material they are studying. Self-explaining has generally been found to be more effective than standard studying, but it may also take more time. This raises the question of whether it's the study strategy or the extra time that benefits learning. To explore this issue, grade school children took a pretest of mathematics conceptual knowledge, studied mathematics problems, and then took a similar posttest (McEldoon et al., 2013). Participants were randomly assigned to one of two study conditions: normal study + more practice (More Practice group), or self-explaining (Self-Explain group). The first condition was intended to make time spent learning to be similar for the two groups. You can find part of the data from this study in SelfExplain, the scores being percent correct.
Usage
data_selfexplain
Format
data_selfexplain
A data frame with 52 rows and 4 columns:
- Student ID
factor
- Condition
factor
- Pretest
numeric
- Posttest
numeric
Source
https://bpspsychub.onlinelibrary.wiley.com/doi/abs/10.1111/j.2044-8279.2012.02083.x