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UArizona Applied Math COVID-19 Working Group - Building a Smart Campus: Predictive Modeling Using Network Science and Big Data

Event

UArizona Applied Math COVID-19 Working Group - Building a Smart Campus: Predictive Modeling Using Network Science and Big Data
Location: Zoom Meeting
Presenter: Sudha Ram, Eller College of Management, University of Arizona

Prediction modeling using Big data can be considerably enhanced by using network science along with machine learning informed by social science theories. In this research, we propose a big data approach to formulating a predictive model by integrating measures from networks of social interaction gleaned from large spatio temporal datasets.  The prediction model goal is to identify students at risk of dropping out in a proactive and timely manner. We use a combination of commonly available (student demographic and academic) data in academic institutions augmented by implicit social interaction measures derived from students’ university smart card transactions. Furthermore, we develop a sequence learning method to infer students’ patterns of activities from their location check-ins. Since student retention data is highly imbalanced, we build a new ensemble machine learning classifier to predict students at-risk of dropping out. For model evaluation, we use real-world data on smart card transactions as well as other types of student information from a large educational institution. The experimental results show that the addition of campus integration and social interaction features refined using the ensemble method significantly improve prediction accuracy and recall.  Zoomhttps://arizona.zoom.us/j/183045568  (begins at 12:30pm AZ Time - please do not log on before that time)