In the information age, data will follow us from the time we first walk into kindergarten to well past retirement. As data is used to guide us in making all kinds of decisions, from what we consume to what health plan we follow, it’s also becoming a powerful tool in education.
As more schools and colleges use algorithms to determine a student’s path, the Amazon- and Netflix-style practice of data mining will soon be the norm in how schools and students operate.
But that might not be such a bad thing. Just as the two online behemoths — Amazon and Netflix — are able to use software to predict books, music, and movies you might like based on your past preferences, schools are using data to place students not only in their appropriate learning level, but even to recommend what subject to major in.
In K-12 education, it’s happening in classrooms and computer labs in both rich and blue-collar schools. In Covington Elementary, for example, the affluent Silicon Valley community where each fifth-grade student has a laptop and is learning math using Khan Academy videos and quizzes, teachers can track each student’s progress in real time on their iPads. When a student is stuck in one subject area, teachers can help the student one-on-one.
Likewise, at Rocketship’s Los Suenos Elementary school in a working class neighborhood in San Jose, teacher Alana Mednick can track her students’ progress based on how they score on their online computer games in their Learning Lab. And these examples are hardly rare these days.
On the college level, student data is being used for everything from recommending courses to picking majors. Austin Peay State University in Clarksville, Tenn., rolled out a program last year Continue reading










