Algorithmic grading in class: What a study shows about extra student workload and privacy
As universities increasingly adopt digital tools and automated analytics systems, attention often centers on these tools' gains in accuracy and efficiency. Far less visible, however, is another critical dimension: the additional work students must do to produce, organize, and interpret their own dat...
Image: Phys.org
As universities increasingly adopt digital tools and automated analytics systems, attention often centers on these tools' gains in accuracy and efficiency. Far less visible, however, is another critical dimension: the additional work students must do to produce, organize, and interpret their own data within these systems.
Originally published at Phys.org
