The capacity of learning analytics platforms to collect troves of student data makes them both institutional necessities and ...

Traditionally, drug discovery relied heavily on trial and error, with long timelines and high costs. The introduction of ...

Data-driven instruction may be the popular catchphrase in education, but in a recent edWebinar, the speakers advocated for data-driven learning. The student, they said, should be at the center of all ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

Longitudinal data sets give educators a 360-degree view of student performance at the push of a button -- and they're changing education at both the student and policy levels.

This article is this edition's winner of the ASU Writing Competition. The competition is open quarterly to current ASU ...

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.

Many businesses strive to be data-driven organizations and use data, predictive analytics, and machine learning models to aid decision-making. This overarching goal has driven several use cases: ...