The architecture of learning in the future will need to continuously integrate institutions, personal customization, continuity, and community, all of which make guidance increasingly valuable.

Structure and Transparency High-Structure and Active Learning High-structure courses provide students with regular required practice opportunities, typically in the form of weekly before-class, ...

Since the start of the Spring 2021 semester, ASU has encouraged professors and students to return to in-person instruction, but many are hesitant due to fears of contracting or spreading COVID-19. In ...

Self-supervised models generate implicit labels from unstructured data rather than relying on labeled datasets for supervisory signals. Self-supervised learning (SSL), a transformative subset of ...

A central challenge in recommendation systems is incentivizing exploration, encouraging users to select options that help the platform learn the information needed for better future decisions. In some ...