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Mining a MOOC's activity data: 6.002X explored
Submitted by Tiffany Luongo on Tue, 02/12/2013 - 13:04
We are building a variety of machine learning algorithms for mining data generated while delivering educational content to hundreds and thousands of students all over the world. A very fundamental question that folks in education are attempting to answer is: "What worked?" Answering this question would require us to analyze data in novel ways, for example building models of students, balancing for confounding factors. We are looking for a talented UROP or MEng student to work with a Research Scientist and a group of scientists and fellows at the MIT EdX team. This project has possible atransformative affects on the next generation education systems. Read about EdX here and here.
MEng, Juniors and Seniors looking to lead to MEng via 6.UAT, UAP Background: Course 6 courses in software and machine learning knowledge (6.034 and 6.867) Please contact: firstname.lastname@example.org or email@example.com