career preparation

New courses, faculty initiatives and bottom-up governance models are helping students learn when—and when not—to rely on artificial intelligence.

Higher education leaders want to embed paid apprenticeships in curriculum. These university and state models are providing a blueprint.

Policymakers are merging or aligning agencies to tie academic programs more directly to labor demand, reshaping how colleges operate.

New surveys show graduates are unprepared to use AI professionally and fear entry-level jobs will be replaced. Employers are confirming their anxieties.

The line between high school, college and the workplace is blurring as educators respond to growing pressure to deliver job-ready graduates.

The traditional approach to decision-making in higher education—where responsibility is distributed across departments—doesn’t match the moment. 

Partnerships add revenue and enrollment numbers to a college's bottom line and expand the career track offerings students need. It's a win-win for both sectors facing changing markets.

Deloitte, Apple, IBM and Google are some of the big-name companies to partner with the school's STEM field, offering career and skill development training, research opportunities and program funding. As a result, students are leading cutting-edge research and getting hired.

Small, private institutions that lack "brand name," competitive edge and financial aid resources are in danger of closing around the country. One expert weighs in on how these schools can get their act together.

Machine learning is helping institutions more accurately predict the labor market value of the experiences they provide students and then translate those experiences into in-demand, marketable skills.