Generative artificial intelligence can expand the reach of open educational resources, but educators and institutions need a ...

Artificial intelligence adoption in higher education succeeds when institutions invest in people before technology. Leadership alignment, tiered train ...

Campus connectivity is shaping institutional outcomes. Why aren't higher education technology leaders planning it that way?

Preparing students for jobs in 2026 and beyond requires embedding artificial intelligence and other technologies as a core competency in their education and training. Technology Literacy for the ...

The SAMR + AI Matrix is a structured learning design tool that aligns the SAMR Model with Bloom's Taxonomy, mapping levels of technological use to cognitive demand to guide instructors in determining ...

"Hotline: Cybersecurity and Privacy" tackles the philosophical, moral, strategic, and organizational quandaries related to ...

Inclusive learning space design should be based on a tripartite framework addressing the diverse physiological, cognitive, and cultural needs of learners. To highlight the importance of these issues ...

The growing role of artificial intelligence in higher education calls for ethical standards that empower educators and students. The future of learning hinges on intentional AI integration. The New ...

Consistency through a shared taxonomy Rigor through clear standards Practical application through the TrustEd Microcredential Framework, aligning credentials with validated competencies The result is ...