Beyond governance: Purpose, ethics, visibility, assurance, and compliance in the age of AI
In the age of AI, governance is about ensuring that institutions remain capable of directing what intelligent systems are helping them become
Higher education continues to treat AI as just another technology to be deployed, managed, and governed. That assumption is increasingly inadequate. While AI bears some similarities to previous technologies, such as enabling automation and enhancing efficiency of processes, it is different in that it creates a continuously available capability for reasoning, synthesis, recommendation, interaction, and even collaboration.
Top Stories
Before students use AI, they should prove they don’t need it
Universities are attempting to adapt to artificial intelligence while considering mostly the wrong questions.
What skills are university leaders prioritizing in new hires?
Leaders are decisive for the success of institutions and proper fit is decisive for the success of leaders. Your college doesn’t only need a good leader; you need the right leader for your organization in 2026 and beyond.
Transparency appendices may be the next essential AI disclosure practice in higher education
As generative AI becomes a routine part of academic work, a familiar question keeps surfacing in classrooms and scholarly writing alike: What, exactly, should writers disclose?
The real work of AI and instructional technology is creative
In my Systems Analysis and Design course, students are not handed the requirements for building a software application. They have to uncover them by asking the right questions within an AI-based learning activity.
How smart campuses are turning efficiency into growth
Colleges and universities are at an inflection point. As student expectations rise and competition for talent, research funding, and enrollment intensifies, campuses have a powerful opportunity to rethink how their physical environments support long‑term growth.
For schools, cyber resilience starts at the data layer
Cyber resilience in education starts at the data layer. That is because the data layer is where schools’ most important information lives and where recovery begins when something goes wrong.
Belonging by design: Practical ways to support adult learners in hybrid and asynchronous courses
For many adult learners, logging into a hybrid or asynchronous course is not the beginning of their day. It may come after a full shift at work, after helping children with homework, after managing caregiving responsibilities, or after years away from formal schooling.
Data centers, AI, and the next big campus debate
Higher education has spent the last two years debating whether students should be allowed to use artificial intelligence. That debate now looks almost quaint. The more urgent question is whether colleges and universities will help build the physical infrastructure that makes AI possible.
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The Visual Edge: How High-Impact Technology Redefines Campus Differentiation and Enrollment Strategy
In the current higher education landscape, waning enrollment is still a present challenge. While overall enrollment numbers are showing signs of a rebound, National Student Clearinghouse Research Center data indicates that undergraduate enrollment has yet to fully return to pre-pandemic levels.