Pick from any of your grade book's columns. You have complete control on when your interventions are run, how many and how often.


Reporting tools show you when learners are at risk. Choose from specialized reports to help predict which learners are in need of help.

Take Action

Send personalized emails & release notifications to your learner's course page in Blackboard.

Stoplights For Learner Success

Signals Grade Criteria

Across campus, the success of every Purdue University learner is a common goal shared by each instructor, advisor and staff member. In order to increase learner success in the classroom, Purdue University’s Course Signals project detects early warning signs and provides intervention to learners who may not be performing to the best of their abilities before they reach a critical point.

To identify learners at risk academically, Course Signals combines predictive modeling with data-mining from Blackboard Learn. Each learner is assigned a "risk group" determined by a predictive learner success algorithm. One of three stoplight ratings, which correspond to the risk group, can be released on learners' Blackboard homepage.

Intervention emails, composed by the instructor and based on grades and effort in the course can be released to each risk group. Course Signals communicates to learners to use available resources on campus – like office hours and study materials - to increase their academic success. Both learners and instructors benefit from Course Signals. Course Signals works in three unique ways:

  • Real-time feedback.
  • Interventions start early - as early as second week of class.
  • Frequent and ongoing feedback.

Signals News Articles