As education technology and models have evolved over recent years, data-driven learning has become a necessity. To identify effective ways of creating more customized classroom experiences, many ...

Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

Data-driven learning (DDL) has emerged as a transformative approach in language education, harnessing the power of large textual databases to facilitate empirical insights for teaching and learning.

AI-ready data is a conscious choice, and the organizations that lead the era of AI will be those that treat data as a strategic asset and culture as a force multiplier.

More than 120 years ago, W.E.B. Du Bois introduced complex and data-driven portraits of Black American life at the turn of the 20th century. Showcased at the 1900 Paris Exposition, these revolutionary ...

Data-driven approaches offer exceptional computational speed but suffer from limited interpretability and poor generalization outside training data. PINNs improve physical consistency by embedding ...