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 ...

Proteins are the molecular machines that sustain every cell and organism, and knowing what they look like will be critical to untangling how they function normally and malfunction in disease. Now ...