https://sites.google.com/view/assistmentsdatamining
The Big Data for Education spoke of the Northeast Big Data Innovation
Hub is pleased to release a competition where data miners can try to
predict an important longitudinal outcome using real-world educational
data.
This competition uses data from a longitudinal study, now over a
decade long, led by Professor Ryan Baker and Professor Neil Heffernan.
This study, funded by multiple grants from the National Science
Foundation, tracks students from their use of the ASSISTments blended
learning platform in middle school in 2004-2007, to their high school
course-taking, college enrollment, and first job out of college.
Several papers have shown that behavior in ASSISTments in middle
school can predict high school and college outcomes. In this
competition, you will receive access to extensive (but carefully
deidentified) click-stream data from middle school ASSISTments use, as
well as carefully curated brand new outcome data on first job out of
college, never before used in published research.
Successful entries will be invited to submit both to a conference
workshop (at EDM2018, in Buffalo, NY) and to a special issue of the
Journal of Educational Data Mining.
