The threat landscape and demand for cybersecurity have never been greater. There is a global shortfall of approximately 4 million cybersecurity professionals, with 750,000 of those jobs in the U.S.

Adult learning in the United States continues to evolve as colleges, universities, and professional programs adapt to the ...

"Learning is one of the most personal things that people do; engineering provides problem-solving methods to enable learning at scale. How do we resolve this paradox?" —Ellen Wagner Learning ...

Transformative learning in adult education has emerged as a pivotal paradigm, challenging traditional didactic models by encouraging critical reflection, experiential engagement, and the re‐evaluation ...

The cybersecurity talent shortfall threatens to undermine national security and economic prosperity. By some accounts (registration required), up to 3.5 million cybersecurity jobs worldwide were ...

This conversation is with the authors of the chapter “Creating Transformational Change Through Learning Innovation Departments” in our new co-edited book, Recentering Learning: Complexity, Resilience, ...

With six campuses around the world and immersive experiences that challenge perspectives, the Executive MBA program equips leaders to shape the future of business through global insight and meaningful ...

Kalispell Public Schools is encouraging the community to think big and paint outside the lines as it embarks on a multi-year journey to reassess “how school is done.” It’s a daring proposition for any ...

Transformative learning theory centered on a commitment to adult learning fosters the conscious use of critical thinking and reflection, the personal willingness to question assumptions, and the ...

The Initiative for Community Justice & Engaged Pedagogy creates transformative learning opportunities within and beyond prison walls. In order to support long-term productive exchanges between the ...

Researchers have developed a new approach to machine learning that 'learns how to learn' and out-performs current machine learning methods for drug design, which in turn could accelerate the search ...