The Evolllution

Higher education constantly talks about collaboration. We build committees, launch cross departmental initiatives and create strategic plans designed to break down institutional silos. Nearly every major campus priority, from retention and belonging to guided pathways and work and career readiness, depends on departments working together effectively. However, despite this emphasis, collaboration remains one of the most persistent frustrations in higher education.

Higher education has long recognized that true learning does not result from passive information transfer. It is best realized through Socratic dialogue, critique, reflection, contextual exploration and iterative engagement with ideas. At its highest level, education has never simply been about knowing more. It has been about learning how to think, interpret, synthesize and act responsibly within increasingly complex environments.

Cheap, capable AI can widen the door to higher education and, at the same time, quietly weaken the judgment a credential is supposed to certify. The difference comes down to one design choice. Most of the conversation about AI in higher education is a conversation about access: AI tutors that never sleep, AI advisors that scale up to thousands of students and AI writing support for learners who never had any.

Editor’s note: This article is adapted from a conversation with Laura Trombley on the Illumination Podcast. To hear the full discussion, listen to the episode here. Higher education has spent the last decade investing in technology to improve the student experience. From CRM platforms and predictive analytics to AI-powered engagement, institutions have more tools than ever to identify student needs, personalize outreach and streamline services.

Student expectations are evolving, requiring institutions to build trust through more personalized support.

Organizations are shifting from broad outreach strategies toward more intentional engagement built around learner behavior and demonstrated interest. Success increasingly depends on identifying intent early, combining data and automation with human connection, and helping prospective learners gain the confidence needed to take the next step. Karen Hamilton (KH): There is a clear shift across the industry from volume-based outreach to intent-based engagement.

Higher education is navigating profound public skepticism, trapped inside rigid, linear hierarchies that silo our campuses from the very communities we serve. For decades, we have typically managed our universities as mechanistic, top-down structures bound by rigid departmental walls. To solve 21st-century problems, higher education leaders must transition to a circular ecosystem framework.

Amazon may have raised the bar for consumer engagement, but higher education has an opportunity to create something even more meaningful. Have you ever had the unsettling feeling that Amazon knows exactly what you need before you do? You mention needing a new coffee maker and suddenly your screen is filled with coffee makers. You buy a pair of running shoes and spend the next three weeks being served recommendations for athletic apparel.

Continuing education (CE) is often one of the most responsive parts of postsecondary institutions. It is where many institutions move quickly to respond to changing workforce needs, emerging industries, community priorities and the growing need for lifelong learning. That role is becoming more important as workers must adapt quicker, employers respond to changing skill requirements and postsecondary institutions support learning across a longer span of more people’s lives.

1. Context: Framing Microcredentials for Industry Value Across Alberta and Canada, industry faces a persistent and intensifying challenge: how to sustain productivity and competitiveness in the presence of rapid technological change, persistent labor shortages, changing socioeconomic factors and accelerating skills obsolescence.