Students at risk of missing assignment due dates

This Moodle plugin adds a new predictive model to identify students that are likely to miss assignment due dates. The model automatically generates insights for teachers about these students.
This Moodle plugin adds a new predictive model to identify students that are likely to miss assignment due dates. The model automatically generates insights for teachers about these students.
This prediction model does not work for the following assignment activities:
Assignments in courses without a start date
Assignments without a due date
Assignments that are hidden to students
Not yet started assignments
Team submission assignments
Assignments whose due date are more than one year after the course start date
Assignments whose due date are less than four days since the course start date
The plugin uses Moodle core’s analytics API as a base. This predictive model indicators become available for the other predictive models in your site as well as for the predictive models you add in future
Installation
https://docs.moodle.org/35/en/Installing_plugins
Usage
https://docs.moodle.org/35/en/Analytics
Known bugs
https://tracker.moodle.org/browse/MDL-64320 is a Moodle core bug that affects two of the indicators included in this plugin: “Number of assignment submission attempts” and “Activity weight in the gradebook”. The latter was originally part of the prediction model that identifies students that are likely to miss an assignment due date. It has been removed due to MDL-64320 . It will be added back once the issue is fixed in core.