From pen to prompt: Navigating AI in the classroom
Artificial intelligence is not a new development, but recently, its use in classrooms has exploded–what are the implications and possibilities of AI in colleges and universities?
From pen to prompt: Navigating AI in the classroom
Students can (and should) still show their work in the age of AI--but it might look a little different
As higher ed embraces AI, where is learning headed?
Higher-ed leaders recognize an urgent need to build modern, future-ready institutions
Using AI to reimagine teacher preparation for scale, equity, and reflective practice
A computerized AI support model gives pre-service teachers the opportunity to engage in scalable, self-guided reflection
Deep search: How do emerging research tools handle ambiguous topics?
Users must ensure they use deep search AI tools in conjunction with traditional library databases and other more established tools
Students view AI with optimism, but women are at risk of being left behind
Higher ed needs expanded AI literacy, ethical and transparent implementation, and student-centered integration of AI
The AI world of tomorrow is today–and it’s already reshaping higher education
The AI world of tomorrow isn’t just knocking--it’s already set up shop in our classrooms, learning management systems, and research labs
AI and the workforce: Reskill to meet the moment
Reskilling--particularly AI reskilling--can be a powerful tool for ensuring every member of an organization has a shared vision for their company’s future
Digital innovation and human connection are reshaping higher ed
Digital learning is evolving from a content delivery solution to a broader enabler of connection, insight, and persistence
10 dimensions of AI readiness
Many universities are integrating AI tools reactively, without clear alignment to curriculum, faculty development, or AI readiness policies
Barriers and motivations for AI adoption: Insights from admissions and advising
