Reimagining the machine learning life cycle to improve educational outcomes of students
Sign Up to like & getrecommendations! Published in 2023 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2204781120
Abstract: Significance Given the rapid proliferation of machine learning technologies in education, we investigate the extent to which development of Machine learning (ML) technologies supports holistic education principles and goals. We present findings from a cross-disciplinary… read more here.
Keywords: reimagining machine; machine; cycle improve; machine learning ... See more keywords