Difference between revisions of "White Learners in North America"
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* Roughly equal accuracy across racial groups | * Roughly equal accuracy across racial groups | ||
* Slightly better accuracy (~1%) across racial groups when including race in model | * Slightly better accuracy (~1%) across racial groups when including race in model | ||
Zhang et al. (in press) [https://www.upenn.edu/learninganalytics/ryanbaker/EDM22_paper_35.pdf] | |||
* Detecting student use of self-regulated learning (SRL) in mathematical problem-solving process | |||
* For each SRL-related detector, relatively small differences in AUC were observed across racial/ethnic groups. | |||
* No racial/ethnic group consistently had best-performing detectors | |||
Revision as of 06:14, 10 June 2022
Bridgeman et al. (2009) pdf
- Automated scoring models for evaluating English essays, or e-rater
- The score difference between human rater and e-rater was significantly smaller for 11th grade essays written by White and African American students than other groups
Jiang & Pardos (2021) pdf
- Predicting university course grades using LSTM
- Roughly equal accuracy across racial groups
- Slightly better accuracy (~1%) across racial groups when including race in model
Zhang et al. (in press) [1]
- Detecting student use of self-regulated learning (SRL) in mathematical problem-solving process
- For each SRL-related detector, relatively small differences in AUC were observed across racial/ethnic groups.
- No racial/ethnic group consistently had best-performing detectors