In this episode of EdTech Connect, host Jeff Dillon sits down with Dr. Cabrini Pak—professor, interdisciplinary scholar, and systems thinker—to explore how cutting-edge concepts like stigmergy (a cybernetic coordination mechanism) and AI can transform higher education. With degrees in biology, theology, business, and cultural studies, Dr. Pak bridges gaps between disciplines, offering fresh insights into everything from classroom innovation to institutional efficiency.

Discover how she’s testing AI tools like GPT and Copilot with students, why tracking error rates is critical for ethical AI adoption, and how "agentic AI" could revolutionize advising and campus operations. She also shares lessons from her corporate career, including how higher ed can adopt a "living lab" mindset to accelerate innovation. Tune in for a thought-provoking discussion on breaking down silos, designing smarter workflows, and turning "constipated dinosaurs" into agile, AI-enabled institutions.

Key Takeaways:

Stigmergy: Borrowing from Nature to Solve Coordination Problems

Inspired by social insects (e.g., ants, bees), stigmergy uses action-trace feedback loops to improve collaboration. Dr. Pak applies this to classroom projects and consulting engagements, helping students "swarm" around problems effectively.

AI as a "Fancy Hammer"

AI is a tool, not a replacement. Dr. Pak’s experiments (e.g., Zoom’s AI assistant, GPT for forensic accounting) reveal its limitations (e.g., misgendering speakers, flawed summaries) and teach students critical evaluation.

Agentic AI is Already Here

Virtual TAs, advising bots, and automated workflows (e.g., course planning) are emerging on campuses. But trust remains a hurdle—human oversight and "undo buttons" are essential for high-stakes tasks.

Error Rates Matter

Testing AI error rates exposes biases (e.g., facial recognition failures) and improves training data. Higher ed must prioritize transparency, especially in areas like advising or data management.

Bots for the Boring Stuff

Automating tedious tasks (e.g., fixing dead links, updating web content) frees staff for meaningful work. Think "Roomba for websites"—but with human checks.

Private Sector Lessons: The "Living Lab" Mindset

Universities should emulate corporate agility by turning campuses into testing grounds for innovation (e.g., MIT’s sustainability labs). Scarcity demands circular, not linear, knowledge economies.

The Underrated AI Use Case: Tacit Knowledge Mining

AI could unearth siloed insights buried in local drives and shared folders, connecting dots across departments to solve systemic problems.

Magic Wand Fix: From "Constipated Dinosaurs" to Agile Service Providers

Dr. Pak’s dream AI solution? A system that anticipates needs, streamlines bureaucracy, and empowers staff—transforming higher ed into a responsive, adaptive ecosystem.

Listen Now to rethink how AI, interdisciplinary thinking, and cybernetic principles can reshape higher ed!

Find Dr Cabrini Pak Ph.D here:

LinkedIn

https://www.linkedin.com/in/cabrinipak/

The Catholic University of America

https://www.catholic.edu/

And find EdTech Connect here:

Web: https://edtechconnect.com/

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