Search Results for author:
Found 2 papers, 0 papers with code
Difficult Lessons on Social Prediction from Wisconsin Public Schools
These systems assist in targeting interventions to individual students by predicting which students are at risk of dropping out.
Lost in Translation: Reimagining the Machine Learning Life Cycle in Education
We find that a cross-disciplinary gap exists and is particularly salient in two parts of the ML life cycle: the formulation of an ML problem from education goals and the translation of predictions to interventions.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
