The System Won't Fix Itself.

So we are building what does.

Education

Our Education System

Curricula built in the 1960s. Assessment models that measure compliance, not capability. A profession that has, in too many classrooms, chosen the comfort of familiar methods over the demonstrated needs of students.

The results are not abstract. They show up in literacy rates, in math scores, in the number of young people who leave school without the skills to work, earn, or build.

Change happens on the edge. That is where the Foundation works -- at the intersection of technology and education, where the old models have broken down and the new ones are being built.

Vocational Education

For decades, vocational education has been treated as the consolation prize. The path for students who could not manage the academic track.

That framing is wrong, and the consequences of it are serious.

Most students will not become academics. Most will enter a labor market that demands technical precision, adaptive problem-solving, and the ability to work with tools that did not exist when their teachers were trained. An education system organized around university preparation as the default is not serving those students. It is failing them in plain sight, then calling it a choice.

The Foundation works to restore vocational and applied education to what Charles Prosser understood it to be a century ago: not a lesser path, but the right one for most people, and deserving of the same intellectual rigor and investment as any other.

Vocational Education
AI in Education

AI in Education

Generative AI is the most significant development in education technology in a generation. It enables personalized diagnosis, adaptive instruction, and real-time assessment at a scale no classroom teacher can match alone.

Most schools are not using it. Many are actively resisting it.

Some of that resistance is institutional inertia. Some of it is a profession defending methods it has practiced for decades. Some of it is a genuine, if misplaced, concern that AI will replace the human relationship at the center of good teaching.

The Foundation does not accept that framing. AI does not replace teachers. It gives teachers something most have never had: accurate, granular, real-time data on what each student actually knows and where they are actually stuck. The teachers who will serve students best in the next decade are the ones who learn to use that.

We are building the tools. We are working with the schools willing to use them.

Who Was Charles Prosser

Charles Allen Prosser was born in 1871 in New Albany, Indiana, the son of a steelworker. That origin is not incidental. He understood from the beginning that most people who went to school were not going to university. They were going to work.

His argument was simple and radical in equal measure. Most students did not need preparation for academic study. They needed preparation for employment. And the schools were not providing it. What passed for practical education -- manual training, industrial arts, homemaking -- had been stripped of any real connection to how work actually functioned. It was vocational education in name only.

Prosser spent his career fixing that. He built coalitions, drafted legislation, and in 1917 shepherded the Smith-Hughes Act through Congress, establishing federal funding for vocational education in the United States for the first time. In 1945, at the end of his career, he returned with the same argument. He estimated that sixty percent of high school students were being served adequately by neither the academic nor the vocational track. They were simply being failed.

The education establishment did not want to hear it in 1917. It did not want to hear it in 1945. It does not particularly want to hear it now.

The Charles Prosser Foundation was named for a man who spent his life saying it anyway.

Charles Prosser
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