Smart Education Insights App for Splunk

The app is designed to provide an automated workflow for training machine learning models to predict student outcomes. Within the app there is a pipeline on top of our Machine Learning Toolkit that allows users to follow some simple click-and-select steps to load their e-learning data and select some important features in the data. The app then decides how it should be processed by an ML algorithm – including automatically deciding how the data should be pre-processed in preparation for an algorithm. Ultimately the app provides non-expert users with a recommended model to apply to their particular data to predict: how likely a student was to pass or fail; and how likely a student was to drop off the course. There are also a set of dashboards that can provide some easy to understand reports using the predictive models.