Stoplights For Learner Success
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.