By LeiLani Cauthen
What could happen if people and learning content were matched dynamically the way rides are matched on-demand? That is the central question I’m exploring as I gather ideas and research for my next book.
When you compare schools to on-demand services that use geolocation and real-time matching, a few common reactions are likely:
- This is just another fleeting education trend that educators should ignore.
- Isn’t this simply online courses on demand with automated tutors—something we’ve already tried without transformational results?
- People fear an app will dismantle schools as we know them.
- It sounds like a platform that automates content delivery for students—nothing new.
- Will teachers become unnecessary?
Those reactions miss the real potential of “uber-level” thinking applied to education. First, what do I mean by uberization? The term describes a network-enabled model that unlocks underused capacity—people, resources, spaces—through a central digital engine rather than a traditional planning office. Uber, for example, replaced dispatch offices and leveraged existing cars and drivers, reshaping an entire industry almost overnight.
Yes, that disruption was unsettling: unions and established service companies shrank or disappeared. But the result also created a flexible marketplace where independent drivers could find new earning opportunities and users enjoyed more convenient, efficient service.
Translating that model to education does not mean removing teachers or replacing schools with a single app. Instead, it suggests rethinking roles, workflows, and logistics so that educators and learners benefit from more choice, flexibility, and personalization. Many teachers today juggle classroom management, technology, curriculum demands, and efforts to personalize learning for each student. Far from making teachers obsolete, an intelligently networked system could free them from many administrative burdens and enable them to focus on meaningful teaching and mentoring.
If education adopted a digital engine that efficiently matched learners to the right resources, mentors, or micro-instructional units at the right time, the gains could be significant. Imagine better alignment of instructional expertise to specific student needs, more flexible use of educators’ time, and learning experiences tailored to each student’s pace and interests. Achieving this will require sophisticated logistics, algorithms comparable to airline scheduling, and careful attention to privacy, equity, and quality. It will also demand collaboration across schools, districts, teachers, and technology partners.
Critically, the current education system is large, complex, and resistant to change. Many proposed fixes stay within existing structures and therefore deliver only incremental improvements. True transformation calls for solutions that are remarkably simple in concept yet powerful in effect: systems that remove friction, match demand with available expertise, and enable diverse learning arrangements without adding bureaucracy.
Such a shift won’t be easy. It will require hard work to design fair marketplaces for instruction, to ensure stable careers for educators, and to protect high standards for learning. But the potential rewards—dramatic efficiencies, lower costs per effective learning hour, and genuinely personalized education pathways—make the effort worth pursuing.
Ultimately, the promise of uber-level thinking in education is not about replacing people with apps. It is about using digital matching and data-driven logistics to expand options, free educators from repetitive tasks, and connect learners with precisely what they need when they need it. If executed thoughtfully, this could be a major step toward an education system that better serves students, teachers, and communities.
Stay tuned for more as I continue researching and writing about these possibilities.
About the Author
LeiLani Cauthen is CEO of the Learning Counsel and author of The Consumerization of Learning.