About the Episode
Got a story to tell? An innovative idea to share? Fill out our guest nomination form and let's chat!
About the Episode:
As Canadian higher education faces unprecedented financial pressures and rapid technological change, AI has emerged as both a solution and a challenge. In this episode, Dr. Andre De Freitas, Founder of EdVisingU, joins Ray to explore how AI is reshaping governance, teaching, and student engagement across Canadian universities and colleges. From the risks of top-down decision-making to the urgency of embedding AI literacy in every classroom, Andre shares candid insights on how institutions must adapt without compromising their core values.
Join us as we discuss:
- [1:38] Financial pressures and the "Uberization" of education
- [9:10] Why bottom-up leadership and student input matter
- [16:28] The future of public-private partnerships and fast-tracked curricula
Check out these resources we mentioned during the podcast:
To hear this interview and many more like it, subscribe on Apple Podcasts, Spotify, or our website, or search for “Mastering the Next” in your favorite podcast player.
Why are Canadian universities responding so differently to AI integration?
Dr. De Freitas explains that regional governance structures, funding models, and institutional culture all play a role in how universities adopt AI. In Ontario, for example, outdated funding frameworks and low per-student investment have created a unique set of challenges. Some institutions like Durham College and the University of Toronto are leading the way with innovation hubs, while others lag due to financial and administrative constraints. These disparities shape how quickly—or slowly—AI is embraced on campuses across the country.
How are financial pressures influencing AI adoption in Canadian higher ed?
AI didn’t arrive in a vacuum. It collided with a funding crisis that has left many institutions in deficit, with some facing shortfalls as high as $150 million. Dr. De Freitas highlights how Canadian schools, particularly in Ontario, rely heavily on international student tuition to subsidize local shortfalls—creating unsustainable models. Because of this, AI is often seen as a luxury, rather than a priority, when in fact, it could be a key tool for doing more with less.
What role should government play in shaping the future of AI in Canadian education?
While there’s been some movement—such as Ontario’s recent pause to reassess performance-based funding—De Freitas argues that government action has been largely reactive and band-aid driven. He urges policymakers to modernize funding structures and invest meaningfully in digital transformation, recommending that at least 50% of institutional funding be directed toward such initiatives. Reports like the Blue Ribbon Panel highlight these needs, but lasting change requires follow-through and bold thinking.
Where is AI showing the most promise in Canadian higher ed?
According to De Freitas, curriculum redesign and student support are two of the most promising areas. However, AI’s real potential lies in empowering underserved students and reshaping how institutions deliver education. He’s developed over 65 AI-powered microcredential programs and partnered with learning platforms like Disco.co to ensure equitable access to lifelong learning. His approach emphasizes scalable, just-in-time learning that’s both accessible and relevant.
How can institutions ensure AI is deployed ethically and equitably?
Dr. De Freitas believes AI governance needs to be grounded in ethics and transparency. Institutions should assess the underlying data models (LLMs) powering their tools and ensure alignment with educational values. While bias in AI is a valid concern, he argues that resistance won’t stop progress. Instead, higher ed leaders should build frameworks that use AI responsibly while staying committed to equity, access, and cultural integrity.
How can higher ed leaders keep up with rapid AI developments?
The pace of change is overwhelming—but it’s not optional to stay on the sidelines. De Freitas recommends using tools like Notion or Google Sheets to track new AI developments and commit time regularly to learning. He shares that even during his son’s basketball practices, he’s working on AI curriculum development. His message is clear: make space for this learning, or risk falling behind. Education leaders need to model the very adaptability they expect from their students.
What does the future of Canadian higher ed look like with AI?
In De Freitas' view, survival depends on public-private partnerships. Collaborations with tech giants like Microsoft, Google, and Amazon aren’t just beneficial—they’re essential. Schools must be able to develop and launch new courses in weeks, not years, to keep pace with industry needs. He sees the future of higher ed rooted in entrepreneurship, digital portfolios, and demonstrable AI competencies—not just traditional degrees. This shift will require bold leadership and agile governance, but the payoff could redefine the global reputation of Canadian institutions.
Connect With Our Host:
About The Enrollify Podcast Network: Mastering the Next is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too!
Some of our favorites include The EduData Podcast and Generation AI.
Enrollify is produced by Element451 — the next-generation AI student engagement platform helping institutions create meaningful and personalized interactions with students. Learn more at element451.com.
.svg)
.svg)
