Can anyone remember their life before artificial intelligence (AI)? Many struggle with that, but what I do remember is how things worked in the business sector, especially in education.

The algorithms often used by colleges to predict students’ likelihood of graduating can produce less accurate results for Black and Hispanic students compared to their peers, a new study says.

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

They’re the invisible infrastructure that colleges and universities rely on to target prospective students for recruitment, to build financial-aid offers, and to monitor student behavior. Now, a new ...

With careful AI implementation, we can envision a bright future in which community college technical infrastructure functions ...

Colleges and universities are under a lot of pressure to meet enrollment targets, retain existing students, and see them through to graduation — all while operating under strict budget constraints.

Erin Cunningham is a writer and editor based in Maryland with experience writing about state and local government, education, technology and more. Artificial Intelligence, machine learning and ...

Wylie Wong is a freelance journalist who specializes in business, technology and sports. He is a regular contributor to the CDW family of technology magazines. In an effort to improve student ...

Advantages and shortcomings of predictive analytics, and how the practice is changing in order to keep up with the evolution of technology. The term predictive analytics refers to the use of data, ...

Leah Zitter is a technical writer who covers high tech. She holds a Ph.D. in psychology research and a master’s in philosophy and advanced logic. For years, higher education institutions across the ...