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.

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The last five years have brought an explosion of research in the learning analytics field. However, much of what has emerged has been small scale or tool-centric. While these efforts are vitally important to the development of the field, in order to truly transform education, learning analytics must scale and become institutionalized at multiple levels throughout an educational system. Many institutions are currently undertaking this grand challenge and this panel will highlight cases from: the University of Wisconsin System, the Society for Learning Analytics Research, the University of New England, and Rio Salado College.

How Purdue University is changing the academic behavior of struggling students.