Check out the latest post on the Knewton tech blog, written by one of our star summer interns, Harvard student Joy Zheng.
Here’s a sneak peek:
How do you quickly visualize and validate data in a large-scale, distributed, and real-time system? How do you make it deployable in multiple cloud environments? And how do you track changes to this data over time?
These are questions that I set out to answer in my internship this summer, as I worked to develop a web-based interface that displays how much data the Knewton system is receiving from hundreds of thousands of Pearson students across the country.
At a very high level, this is how things work: Hundreds of thousands of college kids across the country use a recommended textbook published by Pearson. These books have an online component with which the students interact, learn, take tests and quizzes, etc. Information regarding all this activity flows through to us at Knewton. We process it to make recommendations to each student about how to progress through the course, so that the student can achieve the milestones set by the professor.
Read the rest of the post here.
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