Researchers propose using AI to predict which college students might fail physics classes

In a paper published on the preprint server Arxiv.org, They claim it could be a powerful tool for educators and struggling college students alike, but critics argue technologies like it could harm those students with biased or misleading predictions. Physics and other core science courses form hurdles for science, technology, engineering, and mathematics (STEM) majors early in their college careers. While physics pedagogies have developed a range of research-based practices to help students overcome challenges, some strategies have substantial per-class implementation costs. Moreover, not all are appropriate for every student.