Difference between revisions of "Socioeconomic Status"

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Yudelson et al. (2014) [https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.659.872&rep=rep1&type=pdf pdf]
Yudelson et al. (2014) [https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.659.872&rep=rep1&type=pdf pdf]
* Models structuring schools into reliably discernible groups
 
* Models discovering generalizable sub-populations of students across different schools to optimize learning experience with Carnegie Learning’s Cognitive Tutor (CLCT)
 
* Models trained on schools with a high proportion of low-SES student performed worse than those trained with medium or low proportion
* Models trained on schools with a high proportion of low-SES student performed worse than those trained with medium or low proportion
* Models trained on schools with low, medium  proportion of SES students performed similarly well for schools with high proportions of low-SES students
* Models trained on schools with low, medium  proportion of SES students performed similarly well for schools with high proportions of low-SES students

Revision as of 19:37, 16 May 2022

Yudelson et al. (2014) pdf

  • Models discovering generalizable sub-populations of students across different schools to optimize learning experience with Carnegie Learning’s Cognitive Tutor (CLCT)
  • Models trained on schools with a high proportion of low-SES student performed worse than those trained with medium or low proportion
  • Models trained on schools with low, medium proportion of SES students performed similarly well for schools with high proportions of low-SES students


Yu et al. (2020) [pdf]

  • Models predicting undergraduate course grades and average GPA
  • Students from low-income households were inaccurately predicted to perform worse for both short-term (final course grade) and long-term (GPA)
  • Fairness of model improved if it included only clickstream and survey data