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Smart Education Insights App for Splunk

Splunk Labs
This app is NOT supported by Splunk. Please read about what that means for you here.
Overview
Details
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.

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.

Prerequesites for this app:
- Splunk Machine Learning Toolkit Installed: https://splunkbase.splunk.com/app/2890/
- Creation of an index called learning_analytics_model_testing_metrics for storing the model training metrics

A blog that provided the inspiration for the app can be found here: https://www.splunk.com/en_us/blog/splunk4good/euvsvirus-predicting-online-student-outcomes-with-automated-ml-pipelines.html

Release Notes

Version 1.1.0
June 7, 2021

Updates for version 8.2 compatibility

Version 1.0.3
Sept. 3, 2020

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