Everything Jesse St. Charles said on any show that made the record, most notable first. Each card names its show and opens the statement there.
St. Charles: Modeling conceptual dependencies is beneficial across all subjects
“There is requisite knowledge that you need, and that's where we're trying to model the content that we're working with, and so I guess it's, what, the question is whether or not you buy that there exists requisite relationships in content, and whether respecti…”
St. Charles: Industrial education's one-size-fits-all model leaves everyone underserved
“It is one size fits all. And to me that means that everyone's underserved.”
St. Charles: Student interaction data in educational software goes completely unused
“Students are already generating all this data as they're interacting with these educational products, but they're just falling on the floor. We're not doing anything with it.”
Knewton saw nearly half a grade improvement with a major partner
“But at one of our largest partners, we've seen nearly half a great improvement as usage of adaptive assignments increases.”
St. Charles: Student proficiency is straightforward to validate in edtech
“Estimating student proficiency, relatively straightforward. We can validate that because we actually see that the model itself predicts outcomes.”
St. Charles: Knewton needs partner investment to run controlled studies
“And also because we're a platform, we have to coordinate with partners to actually impact users. And so this gets back to what I was saying before about some of the challenges of running control studies. We actually require explicit and investment by our partn…”
St. Charles prioritizes 'data empathy' over domain expertise when hiring
“Something that I personally really value in the people that I hire is something I call data empathy, and it's a skill.”
Jesse St. Charles: Knewton served roughly 4 million students in 18 months
“We've had roughly four million students on the platform in the past year and a half.”
Educational knowledge graphs encode expert prior beliefs about knowledge structure
“So from a data science perspective, one way to think about this, and it's the way I think about it is that this graph is actually encoding expert prior belief about the structure of knowledge.”
Knewton uses hierarchical agglomerative clustering to refine knowledge graphs
“Here we, we've done some hierarchical agglomerative clustering to detect the relationships between pieces of content using performance data.”
St. Charles: Knewton is deployed in both higher education and K-12
“We're deployed in Higher education institutions power a lot of Pearson publisher books which are, and a lot of higher ed. Also we actually just launched a product with Houghton Mifflin Harcourt, which has K-twelve. So we're actually in both now.”
St. Charles: Knewton monetizes by taking cuts of textbook sales and courses
“We're basically providing a value add for every time a piece of that content gets distributed, and so so we might take a cut of the textbook sale It's a digital textbook or real textbook sale if there's a digital component to it or a cut of the actual of a cla…”
St. Charles: Knewton operates as an API for content partners
“We're actually an API, and we, we're using that API to provide the above capabilities to any content partner that decides to work with us.”
Jesse St. Charles: Knewton has systemized over 200 textbooks
“We have over 200 textbooks that have been described to our system.”