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Wednesday
Oct 16th, 2013
10:30 AM - 11:20 AM
Meeting Room 211A/B
Pacific Time
Improve targeted intervention by building a model to identify and classify at-risk students using data at your institution—and do it in-house with available data-mining tools. Find out how we did this at New York Institute of Technology and how you can do it as well.

OUTCOMES:
Gain an understanding of the complete life cycle of the At-Risk Student Identification Model. | Learn about the methodology and technologies used to create the model. | Understand how to initiate a similar model.

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