Difference between revisions of "Gender: Male/Female"

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Yu et al. (2020) [pdf]
Yu et al. (2020) [pdf]
* Model predicting undergraduate course grades and average GPA
* Model predicting undergraduate course grades and average GPA
* female
* female students were generally inaccurately predicted to perform better than male students
students were generally inaccurately predicted to perform better than male students


Yu and colleagues (2021) [pdf]
Yu and colleagues (2021) [pdf]
* Model predicting college dropout
* Model predicting college dropout
* Worse true negative rates for male students, but somewhat better recall for male students taking courses in-person
* Worse true negative rates for male students, but somewhat better recall for male students taking courses in-person

Revision as of 03:07, 24 January 2022

Kai et al. (2017) pdf

  • Models predicting student retention in an online college program
  • performance was very good for both groups
  • JRip decision tree model performed more equitably than a J48 decision tree model for both male and female students.
  • JRip model had moderately better performance for female students than male students

Hu and Rangwala (2020) pdf

  • Models predicting if student at-risk for failing a course
  • Performed worse for male students, but that this result is inconsistent across university courses

Anderson et al. (2019) pdf

  • Models predicting six-year college graduation
  • Algorithms had higher false negative rates for male students

Gardner, Brooks and Baker (2019) [pdf]

  • Model predicting MOOC dropout
  • Some algorithms studied performed worse for female students than male students, particularly in courses with 45% or less male presence

Riazy et al. (2020) [pdf]

  • Model predicting course outcome
  • Fairly marginal differences were found for prediction quality and in overall proportion of predicted pass between groups
  • Inconsistent in direction between algorithms.

Lee and Kizilcec (2020) [pdf]

  • Model predicting college course grade of median or above
  • Unmodified algorithm, before correction, performed worse for male students than for female students

Yu et al. (2020) [pdf]

  • Model predicting undergraduate course grades and average GPA
  • female students were generally inaccurately predicted to perform better than male students

Yu and colleagues (2021) [pdf]

  • Model predicting college dropout
  • Worse true negative rates for male students, but somewhat better recall for male students taking courses in-person