Building AI that teaches: Scaling learning systems
Crafting an AI-native learning platform also requires rethinking content delivery, assessment, and learner support as a single integrated system
I’ve spent nine years building learning infrastructure, and during that time I’ve gone from staff engineer to founding member of our first AI engineering team. Along the way, I’ve come to believe that educational AI is a fundamentally different engineering discipline than the consumer AI most people read about.
Top Stories
Most states struggle to bring adult learners back to college
Most states still rely on fragmented, short-term initiatives to support adult learners rather than coordinated statewide strategies, according to new research from ReUp Education.
How should we evaluate professorial work?
College faculty are all aware of the three pillars of professorial work: instruction, scholarship, and service. Faculty are generally assessed on peer review publications, academic presentations, grants authored, and service on university and professional committees.
The case for centralized admissions in graduate medical education
Centralized application services transformed how students apply to medical school. They gave applicants a single point of entry, standardized how programs receive and review data, and provided comparable information institutions could actually use.
Nobody’s a loser: What genuine education leaders realize
My father, Jake M. Schrum, would take me with him to cattle shows and sales. As an impressionable teenager, I treasured these outings mostly to have one-on-one time with my dad, but also, to learn about Hereford cattle and how to judge them.
Beyond governance: Purpose, ethics, visibility, assurance, and compliance in the age of AI
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.
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?
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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.