Difference between revisions of "International Students"

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(Created page with "Yu et al. (2020) https://files.eric.ed.gov/fulltext/ED608066.pdf pdf * Model predicting undergraduate course grades and average GPA * International students are falsely predicted to earn a lower final course grade as well as lower GPA than their peers * The algorithmic bias against international students is larger when only institutional data, or a combination of institutional and survey data is included, but this performance is fairer with the inclusion of both cli...")
 
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* Model predicting undergraduate course grades and average GPA
* Model predicting undergraduate course grades and average GPA
* International students are falsely predicted to earn a lower final course grade as well as lower GPA than their peers
* International students are falsely predicted to earn a lower final course grade as well as lower GPA than their peers
* The algorithmic bias against international students is larger when only institutional data, or a combination of institutional and survey data is included, but this performance is fairer with the inclusion of both clickstream and survey data.
* The algorithmic bias against international students is larger when only institutional data, or a combination of institutional and survey data is included, but this performance is fairer with the inclusion of both clickstream and survey data
 
 
Yu et al. (2021) [https://dl.acm.org/doi/pdf/10.1145/3430895.3460139 pdf]
 
* Models predicting college dropout
 
* Model performed with significantly lower accuracy and true negative rate for residential students with greater financial need than online counterparts, whether the attribute were made aware or not
* Model performed with significantly higher recall for residential students with greater financial need than online counterparts, whether the attribute were made aware or not

Revision as of 08:50, 17 February 2022

Yu et al. (2020) [pdf]

  • Model predicting undergraduate course grades and average GPA
  • International students are falsely predicted to earn a lower final course grade as well as lower GPA than their peers
  • The algorithmic bias against international students is larger when only institutional data, or a combination of institutional and survey data is included, but this performance is fairer with the inclusion of both clickstream and survey data


Yu et al. (2021) pdf

  • Models predicting college dropout
  • Model performed with significantly lower accuracy and true negative rate for residential students with greater financial need than online counterparts, whether the attribute were made aware or not
  • Model performed with significantly higher recall for residential students with greater financial need than online counterparts, whether the attribute were made aware or not