On AI, education, adaptive learning, and building things that matter for students and faculty.
I built an AI-powered proficiency platform without writing a single line of code the traditional way. What that means for every educator who has ever thought, "If only someone would build this."
The best teams in higher education are not built on org charts. They are built on energy. And the energy you bring to a group determines what the group becomes.
AI in education is either going to save us or destroy us, depending on who you ask. The truth is more boring and more useful than either camp admits.
Sometimes the best move in higher education is the one that feels reckless. The cannonball into the deep end. The decision that cannot be undone.
Adaptive learning is not new. What is new is that the technology has finally caught up to the pedagogy. The platforms emerging now are fundamentally different from the ones that failed five years ago.
We are not living in the age of artificial intelligence. We are living in the age of emergence. And the thing about emergence is that you cannot predict what comes next. You can only prepare for it.
Believing in AI in education is easy. Building something that actually works is hard. The gap between the two is where most ed-tech goes to die.
AI-enhanced learning is not about replacing teachers. It is about giving them tools that reveal what has always been invisible: the specific, evolving, individual landscape of each student's understanding.
The intersection of AI and education is not a technology problem. It is a trust problem. And trust is built the same way it has always been built: slowly, through evidence, by people who show up.
Small colleges are not dying because they are bad. They are dying because the economic model that sustained them for a century is breaking. The ones that survive will be the ones that find a new model before the old one collapses.
The most underrated skill in education and in life is the ability to say thank you and mean it. It costs nothing and changes everything.
Higher education budgets are breaking. AI might be part of the solution, but only if we stop thinking about it as a cost center and start thinking about it as a force multiplier.
Most professional development in higher education is a bucket with a hole in it. Money goes in. Nothing measurable comes out. It is time to fix the bucket.
The best teaching techniques have always been about seeing each student clearly. AI does not change what good teaching is. It changes how much of it is possible.
We did not build Arrival to disrupt education. We built it because the students who need the most help are the ones the current system sees the least.