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A wizard, dressed in a robe and pointy hat, stands with his hands hovering above a glowing crystal ball.

Education as Privilege Laundering

The most powerful contemporary magic is to transform money into “merit,” Musa al-Gharbi writes.

Confronting Racism After Affirmative Action

What faculty can and should do to help all of their future students.

A group of people gathered at a newly opened Artificial Intelligence Center. A futuristic blue sign bearing the name of the center anchors the left side of the frame.

Building the AI Talent Pipeline

Industry partnerships, stackable credentials, two new centers, AI across the curriculum: Madeline Pumariega writes how one college is responding to the need for an AI-trained workforce.

A stack of books in a prison room.

A New Era of Prison Education

With Pell Grants newly available to more incarcerated individuals, colleges should expand access to higher ed in the nation’s prisons, Judy Olian writes.

The white-columned facade of the U.S. Supreme Court building

Affirmative Action and the Myth of Merit

A more inclusive definition of merit provides an opportunity for higher ed to reinvent itself after the Supreme Court’s damaging decision, Demetria D. Frank, Darrell D. Jackson and Jamila Jefferson-Jones write.

The scene in front of the Supreme Court Oct. 31, when the court heard arguments in two cases challenging race-conscious admissions in higher education: a lone opponent of affirmative action, with protest signs, stands next to a group of mostly young people  rallying in support of affirmative action.

Not a Win for Asian American Applicants

The Supreme Court decision on affirmative action won’t change deeper reasons Asian Americans are disadvantaged in elite college admissions, Leelila Strogov writes.

Four businesspeople examine a data visualization on a virtual screen.

Data Skills Are Just as Important as Soft Skills in Higher Education

Higher education needs to prepare students for a data-driven world, but so far it is falling short. Here’s how to get there, writes data science expert Nathan Kelber.