Difference between revisions of "National and International Examination"
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(Created page with "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)") |
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Baker at al. (2020) [[https://www.upenn.edu/learninganalytics/ryanbaker/BakerBerningGowda.pdf pdf]] | |||
* Model predicting student graduation and SAT scores for military-connected students | |||
* For prediction of graduation, algorithms applying across population resulted an AUC of 0.60, degrading from their original performance of 70% or 71% to chance. | |||
* For prediction of SAT scores, algorithms applying across population resulted in a Spearman's ρ of 0.42 and 0.44, degrading a third from their original performance to chance. | |||
Li et al. (2021) [[https://arxiv.org/pdf/2103.15212.pdf pdf]] | Li et al. (2021) [[https://arxiv.org/pdf/2103.15212.pdf pdf]] | ||
*Model predicting student achievement on the standardized examination PISA | *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) | *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 04:23, 3 February 2022
Baker at al. (2020) [pdf]
- Model predicting student graduation and SAT scores for military-connected students
- For prediction of graduation, algorithms applying across population resulted an AUC of 0.60, degrading from their original performance of 70% or 71% to chance.
- For prediction of SAT scores, algorithms applying across population resulted in a Spearman's ρ of 0.42 and 0.44, degrading a third from their original performance to chance.
Li et al. (2021) [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)