Addressing learner issues with StepUp!: an evaluation
Proceedings of the Third International Conference on Learning Analytics and Knowledge
Proceedings of the Third International Conference on Learning Analytics and Knowledge
MOOCs and the funnel of participation
Proceedings of the Third International Conference on Learning Analytics and Knowledge
Issues, challenges, and lessons learned when scaling up a learning analytics intervention
Proceedings of the Third International Conference on Learning Analytics and Knowledge
GradeCraft: what can we learn from a game-inspired learning management system?
Proceedings of the Third International Conference on Learning Analytics and Knowledge
Proceedings of the Fourth International Conference on Learning Analytics And Knowledge
Setting learning analytics in context: overcoming the barriers to large-scale adoption
Proceedings of the Fourth International Conference on Learning Analytics And Knowledge
Proceedings of the Fourth International Conference on Learning Analytics And Knowledge
Data wranglers: human interpreters to help close the feedback loop
Proceedings of the Fourth International Conference on Learning Analytics And Knowledge
Explaining predictive models to learning specialists using personas
Proceedings of the Fourth International Conference on Learning Analytics And Knowledge
Assessing elementary students' science competency with text analytics
Proceedings of the Fourth International Conference on Learning Analytics And Knowledge
Competency map: visualizing student learning to promote student success
Proceedings of the Fourth International Conference on Learning Analytics And Knowledge
Student explorer: a tool for supporting academic advising at scale
Proceedings of the first ACM conference on Learning @ scale conference
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In this paper, an early intervention solution for collegiate faculty called Course Signals is discussed. Course Signals was developed to allow instructors the opportunity to employ the power of learner analytics to provide real-time feedback to a student. Course Signals relies not only on grades to predict students' performance, but also demographic characteristics, past academic history, and students' effort as measured by interaction with Blackboard Vista, Purdue's learning management system. The outcome is delivered to the students via a personalized email from the faculty member to each student, as well as a specific color on a stoplight -- traffic signal -- to indicate how each student is doing. The system itself is explained in detail, along with retention and performance outcomes realized since its implementation. In addition, faculty and student perceptions will be shared.