Difference between revisions of "Course Grade and GPA Prediction"

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* Model predicting course outcome  
* Model predicting course outcome  
* Fairly marginal differences were found for prediction quality and in overall proportion of predicted pass between groups
* Fairly marginal differences were found for prediction quality and in overall proportion of predicted pass between groups
* Inconsistent in direction between algorithms.
* Inconsistent in direction between algorithms
Li et al. (2021) [[https://arxiv.org/pdf/2103.15212.pdf pdf]]
*Model predicting student achievement on the standardized examination PISA
*Inaccuracy of the U.S.-trained model was greater for students from countries with lower scores of national development (e.g. Indonesia, Vietnam, Moldova)

Revision as of 22:31, 25 January 2022

Lee and Kizilcec (2020) [pdf]

  • Model predicting college course grade of median or above
  • Out-of-the-box random forest model violates demographic parity and equality of opportunity for URM (underrepresented minority: American Indian, Black, Hawaiian or Pacific Islander, Hispanic, and Multicultural) than for non-URM students (White and Asian)

Yu et al. (2020) [pdf]

  • Model predicting undergraduate course grades and average GPA
  • students of several racial backgrounds were inaccurately predicted to perform worse than other students

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
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